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Step-by-Step Guide: How to Craft a Strong Research Hypothesis

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A research hypothesis is a concise statement about the expected result of an experiment or project. In many ways, a research hypothesis represents the starting point for a scientific endeavor, as it establishes a tentative assumption that is eventually substantiated or falsified, ultimately improving our certainty about the subject investigated.   

To help you with this and ease the process, in this article, we discuss the purpose of research hypotheses and list the most essential qualities of a compelling hypothesis. Let’s find out!  

How to Craft a Research Hypothesis  

Crafting a research hypothesis begins with a comprehensive literature review to identify a knowledge gap in your field. Once you find a question or problem, come up with a possible answer or explanation, which becomes your hypothesis. Now think about the specific methods of experimentation that can prove or disprove the hypothesis, which ultimately lead to the results of the study.   

Enlisted below are some standard formats in which you can formulate a hypothesis¹ :  

• A hypothesis can use the if/then format when it seeks to explore the correlation between two variables in a study primarily.  

Example: If administered drug X, then patients will experience reduced fatigue from cancer treatment.  

• A hypothesis can adopt when X/then Y format when it primarily aims to expose a connection between two variables  

Example: When workers spend a significant portion of their waking hours in sedentary work , then they experience a greater frequency of digestive problems.  

• A hypothesis can also take the form of a direct statement.  

Example: Drug X and drug Y reduce the risk of cognitive decline through the same chemical pathways  

What are the Features of an Effective Hypothesis?  

Hypotheses in research need to satisfy specific criteria to be considered scientifically rigorous. Here are the most notable qualities of a strong hypothesis:  

• Testability: Ensure the hypothesis allows you to work towards observable and testable results.  
• Brevity and objectivity: Present your hypothesis as a brief statement and avoid wordiness.  
• Clarity and Relevance: The hypothesis should reflect a clear idea of what we know and what we expect to find out about a phenomenon and address the significant knowledge gap relevant to a field of study.   

Understanding Null and Alternative Hypotheses in Research  

There are two types of hypotheses used commonly in research that aid statistical analyses. These are known as the null hypothesis and the alternative hypothesis . A null hypothesis is a statement assumed to be factual in the initial phase of the study.   

For example, if a researcher is testing the efficacy of a new drug, then the null hypothesis will posit that the drug has no benefits compared to an inactive control or placebo . Suppose the data collected through a drug trial leads a researcher to reject the null hypothesis. In that case, it is considered to substantiate the alternative hypothesis in the above example, that the new drug provides benefits compared to the placebo.  

Let’s take a closer look at the null hypothesis and alternative hypothesis with two more examples:  

Null Hypothesis:  

The rate of decline in the number of species in habitat X in the last year is the same as in the last 100 years when controlled for all factors except the recent wildfires.  

In the next experiment, the researcher will experimentally reject this null hypothesis in order to confirm the following alternative hypothesis :  

The rate of decline in the number of species in habitat X in the last year is different from the rate of decline in the last 100 years when controlled for all factors other than the recent wildfires.  

In the pair of null and alternative hypotheses stated above, a statistical comparison of the rate of species decline over a century and the preceding year will help the research experimentally test the null hypothesis, helping to draw scientifically valid conclusions about two factors—wildfires and species decline.   

We also recommend that researchers pay attention to contextual echoes and connections when writing research hypotheses. Research hypotheses are often closely linked to the introduction ² , such as the context of the study, and can similarly influence the reader’s judgment of the relevance and validity of the research hypothesis.  

Seasoned experts, such as professionals at Elsevier Language Services, guide authors on how to best embed a hypothesis within an article so that it communicates relevance and credibility. Contact us if you want help in ensuring readers find your hypothesis robust and unbiased.  

References  

• Hypotheses – The University Writing Center. (n.d.). https://writingcenter.tamu.edu/writing-speaking-guides/hypotheses  
• Shaping the research question and hypothesis. (n.d.). Students. https://students.unimelb.edu.au/academic-skills/graduate-research-services/writing-thesis-sections-part-2/shaping-the-research-question-and-hypothesis  

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• How to Write a Strong Hypothesis | Guide & Examples

How to Write a Strong Hypothesis | Guide & Examples

Published on 6 May 2022 by Shona McCombes .

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more variables . An independent variable is something the researcher changes or controls. A dependent variable is something the researcher observes and measures.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

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Step 1: ask a question.

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2: Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalise more complex constructs.

Step 3: Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

Step 4: Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

Step 5: Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in if … then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

Step 6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis. The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

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What is a Research Hypothesis: How to Write it, Types, and Examples

Any research begins with a research question and a research hypothesis . A research question alone may not suffice to design the experiment(s) needed to answer it. A hypothesis is central to the scientific method. But what is a hypothesis ? A hypothesis is a testable statement that proposes a possible explanation to a phenomenon, and it may include a prediction. Next, you may ask what is a research hypothesis ? Simply put, a research hypothesis is a prediction or educated guess about the relationship between the variables that you want to investigate.  

It is important to be thorough when developing your research hypothesis. Shortcomings in the framing of a hypothesis can affect the study design and the results. A better understanding of the research hypothesis definition and characteristics of a good hypothesis will make it easier for you to develop your own hypothesis for your research. Let’s dive in to know more about the types of research hypothesis , how to write a research hypothesis , and some research hypothesis examples .  

Table of Contents

What is a hypothesis ?  

A hypothesis is based on the existing body of knowledge in a study area. Framed before the data are collected, a hypothesis states the tentative relationship between independent and dependent variables, along with a prediction of the outcome.  

What is a research hypothesis ?  

Young researchers starting out their journey are usually brimming with questions like “ What is a hypothesis ?” “ What is a research hypothesis ?” “How can I write a good research hypothesis ?”   

A research hypothesis is a statement that proposes a possible explanation for an observable phenomenon or pattern. It guides the direction of a study and predicts the outcome of the investigation. A research hypothesis is testable, i.e., it can be supported or disproven through experimentation or observation.     

Characteristics of a good hypothesis  

Here are the characteristics of a good hypothesis :  

• Clearly formulated and free of language errors and ambiguity  
• Concise and not unnecessarily verbose  
• Has clearly defined variables  
• Testable and stated in a way that allows for it to be disproven  
• Can be tested using a research design that is feasible, ethical, and practical   
• Specific and relevant to the research problem  
• Rooted in a thorough literature search  
• Can generate new knowledge or understanding.  

How to create an effective research hypothesis  

A study begins with the formulation of a research question. A researcher then performs background research. This background information forms the basis for building a good research hypothesis . The researcher then performs experiments, collects, and analyzes the data, interprets the findings, and ultimately, determines if the findings support or negate the original hypothesis.  

Let’s look at each step for creating an effective, testable, and good research hypothesis :  

• Identify a research problem or question: Start by identifying a specific research problem.   
• Review the literature: Conduct an in-depth review of the existing literature related to the research problem to grasp the current knowledge and gaps in the field.   
• Formulate a clear and testable hypothesis : Based on the research question, use existing knowledge to form a clear and testable hypothesis . The hypothesis should state a predicted relationship between two or more variables that can be measured and manipulated. Improve the original draft till it is clear and meaningful.  
• State the null hypothesis: The null hypothesis is a statement that there is no relationship between the variables you are studying.   
• Define the population and sample: Clearly define the population you are studying and the sample you will be using for your research.  
• Select appropriate methods for testing the hypothesis: Select appropriate research methods, such as experiments, surveys, or observational studies, which will allow you to test your research hypothesis .  

Remember that creating a research hypothesis is an iterative process, i.e., you might have to revise it based on the data you collect. You may need to test and reject several hypotheses before answering the research problem.  

How to write a research hypothesis  

When you start writing a research hypothesis , you use an “if–then” statement format, which states the predicted relationship between two or more variables. Clearly identify the independent variables (the variables being changed) and the dependent variables (the variables being measured), as well as the population you are studying. Review and revise your hypothesis as needed.  

An example of a research hypothesis in this format is as follows:  

“ If [athletes] follow [cold water showers daily], then their [endurance] increases.”  

Population: athletes  

Independent variable: daily cold water showers  

Dependent variable: endurance  

You may have understood the characteristics of a good hypothesis . But note that a research hypothesis is not always confirmed; a researcher should be prepared to accept or reject the hypothesis based on the study findings.  

Research hypothesis checklist  

Following from above, here is a 10-point checklist for a good research hypothesis :  

• Testable: A research hypothesis should be able to be tested via experimentation or observation.  
• Specific: A research hypothesis should clearly state the relationship between the variables being studied.  
• Based on prior research: A research hypothesis should be based on existing knowledge and previous research in the field.  
• Falsifiable: A research hypothesis should be able to be disproven through testing.  
• Clear and concise: A research hypothesis should be stated in a clear and concise manner.  
• Logical: A research hypothesis should be logical and consistent with current understanding of the subject.  
• Relevant: A research hypothesis should be relevant to the research question and objectives.  
• Feasible: A research hypothesis should be feasible to test within the scope of the study.  
• Reflects the population: A research hypothesis should consider the population or sample being studied.  
• Uncomplicated: A good research hypothesis is written in a way that is easy for the target audience to understand.  

By following this research hypothesis checklist , you will be able to create a research hypothesis that is strong, well-constructed, and more likely to yield meaningful results.  

Types of research hypothesis  

Different types of research hypothesis are used in scientific research:  

1. Null hypothesis:

A null hypothesis states that there is no change in the dependent variable due to changes to the independent variable. This means that the results are due to chance and are not significant. A null hypothesis is denoted as H0 and is stated as the opposite of what the alternative hypothesis states.   

Example: “ The newly identified virus is not zoonotic .”  

2. Alternative hypothesis:

This states that there is a significant difference or relationship between the variables being studied. It is denoted as H1 or Ha and is usually accepted or rejected in favor of the null hypothesis.  

Example: “ The newly identified virus is zoonotic .”  

3. Directional hypothesis :

This specifies the direction of the relationship or difference between variables; therefore, it tends to use terms like increase, decrease, positive, negative, more, or less.   

Example: “ The inclusion of intervention X decreases infant mortality compared to the original treatment .”   

4. Non-directional hypothesis:

While it does not predict the exact direction or nature of the relationship between the two variables, a non-directional hypothesis states the existence of a relationship or difference between variables but not the direction, nature, or magnitude of the relationship. A non-directional hypothesis may be used when there is no underlying theory or when findings contradict previous research.  

Example, “ Cats and dogs differ in the amount of affection they express .”  

5. Simple hypothesis :

A simple hypothesis only predicts the relationship between one independent and another independent variable.  

Example: “ Applying sunscreen every day slows skin aging .”  

6 . Complex hypothesis :

A complex hypothesis states the relationship or difference between two or more independent and dependent variables.   

Example: “ Applying sunscreen every day slows skin aging, reduces sun burn, and reduces the chances of skin cancer .” (Here, the three dependent variables are slowing skin aging, reducing sun burn, and reducing the chances of skin cancer.)  

7. Associative hypothesis:  

An associative hypothesis states that a change in one variable results in the change of the other variable. The associative hypothesis defines interdependency between variables.  

Example: “ There is a positive association between physical activity levels and overall health .”  

8 . Causal hypothesis:

A causal hypothesis proposes a cause-and-effect interaction between variables.  

Example: “ Long-term alcohol use causes liver damage .”  

Note that some of the types of research hypothesis mentioned above might overlap. The types of hypothesis chosen will depend on the research question and the objective of the study.  

Research hypothesis examples  

Here are some good research hypothesis examples :  

“The use of a specific type of therapy will lead to a reduction in symptoms of depression in individuals with a history of major depressive disorder.”  

“Providing educational interventions on healthy eating habits will result in weight loss in overweight individuals.”  

“Plants that are exposed to certain types of music will grow taller than those that are not exposed to music.”  

“The use of the plant growth regulator X will lead to an increase in the number of flowers produced by plants.”  

Characteristics that make a research hypothesis weak are unclear variables, unoriginality, being too general or too vague, and being untestable. A weak hypothesis leads to weak research and improper methods.   

Some bad research hypothesis examples (and the reasons why they are “bad”) are as follows:  

“This study will show that treatment X is better than any other treatment . ” (This statement is not testable, too broad, and does not consider other treatments that may be effective.)  

“This study will prove that this type of therapy is effective for all mental disorders . ” (This statement is too broad and not testable as mental disorders are complex and different disorders may respond differently to different types of therapy.)  

“Plants can communicate with each other through telepathy . ” (This statement is not testable and lacks a scientific basis.)  

Importance of testable hypothesis  

If a research hypothesis is not testable, the results will not prove or disprove anything meaningful. The conclusions will be vague at best. A testable hypothesis helps a researcher focus on the study outcome and understand the implication of the question and the different variables involved. A testable hypothesis helps a researcher make precise predictions based on prior research.  

To be considered testable, there must be a way to prove that the hypothesis is true or false; further, the results of the hypothesis must be reproducible.  

Frequently Asked Questions (FAQs) on research hypothesis  

1. What is the difference between research question and research hypothesis ?  

A research question defines the problem and helps outline the study objective(s). It is an open-ended statement that is exploratory or probing in nature. Therefore, it does not make predictions or assumptions. It helps a researcher identify what information to collect. A research hypothesis , however, is a specific, testable prediction about the relationship between variables. Accordingly, it guides the study design and data analysis approach.

2. When to reject null hypothesis ?

A null hypothesis should be rejected when the evidence from a statistical test shows that it is unlikely to be true. This happens when the test statistic (e.g., p -value) is less than the defined significance level (e.g., 0.05). Rejecting the null hypothesis does not necessarily mean that the alternative hypothesis is true; it simply means that the evidence found is not compatible with the null hypothesis.  

3. How can I be sure my hypothesis is testable?  

A testable hypothesis should be specific and measurable, and it should state a clear relationship between variables that can be tested with data. To ensure that your hypothesis is testable, consider the following:  

• Clearly define the key variables in your hypothesis. You should be able to measure and manipulate these variables in a way that allows you to test the hypothesis.  
• The hypothesis should predict a specific outcome or relationship between variables that can be measured or quantified.   
• You should be able to collect the necessary data within the constraints of your study.  
• It should be possible for other researchers to replicate your study, using the same methods and variables.   
• Your hypothesis should be testable by using appropriate statistical analysis techniques, so you can draw conclusions, and make inferences about the population from the sample data.  
• The hypothesis should be able to be disproven or rejected through the collection of data.  

4. How do I revise my research hypothesis if my data does not support it?  

If your data does not support your research hypothesis , you will need to revise it or develop a new one. You should examine your data carefully and identify any patterns or anomalies, re-examine your research question, and/or revisit your theory to look for any alternative explanations for your results. Based on your review of the data, literature, and theories, modify your research hypothesis to better align it with the results you obtained. Use your revised hypothesis to guide your research design and data collection. It is important to remain objective throughout the process.  

5. I am performing exploratory research. Do I need to formulate a research hypothesis?  

As opposed to “confirmatory” research, where a researcher has some idea about the relationship between the variables under investigation, exploratory research (or hypothesis-generating research) looks into a completely new topic about which limited information is available. Therefore, the researcher will not have any prior hypotheses. In such cases, a researcher will need to develop a post-hoc hypothesis. A post-hoc research hypothesis is generated after these results are known.  

6. How is a research hypothesis different from a research question?

A research question is an inquiry about a specific topic or phenomenon, typically expressed as a question. It seeks to explore and understand a particular aspect of the research subject. In contrast, a research hypothesis is a specific statement or prediction that suggests an expected relationship between variables. It is formulated based on existing knowledge or theories and guides the research design and data analysis.

7. Can a research hypothesis change during the research process?

Yes, research hypotheses can change during the research process. As researchers collect and analyze data, new insights and information may emerge that require modification or refinement of the initial hypotheses. This can be due to unexpected findings, limitations in the original hypotheses, or the need to explore additional dimensions of the research topic. Flexibility is crucial in research, allowing for adaptation and adjustment of hypotheses to align with the evolving understanding of the subject matter.

8. How many hypotheses should be included in a research study?

The number of research hypotheses in a research study varies depending on the nature and scope of the research. It is not necessary to have multiple hypotheses in every study. Some studies may have only one primary hypothesis, while others may have several related hypotheses. The number of hypotheses should be determined based on the research objectives, research questions, and the complexity of the research topic. It is important to ensure that the hypotheses are focused, testable, and directly related to the research aims.

9. Can research hypotheses be used in qualitative research?

Yes, research hypotheses can be used in qualitative research, although they are more commonly associated with quantitative research. In qualitative research, hypotheses may be formulated as tentative or exploratory statements that guide the investigation. Instead of testing hypotheses through statistical analysis, qualitative researchers may use the hypotheses to guide data collection and analysis, seeking to uncover patterns, themes, or relationships within the qualitative data. The emphasis in qualitative research is often on generating insights and understanding rather than confirming or rejecting specific research hypotheses through statistical testing.

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How to Write a Hypothesis – Steps & Tips

Published by Alaxendra Bets at August 14th, 2021 , Revised On October 26, 2023

What is a Research Hypothesis?

You can test a research statement with the help of experimental or theoretical research, known as a hypothesis.

If you want to find out the similarities, differences, and relationships between variables, you must write a testable hypothesis before compiling the data, performing analysis, and generating results to complete.

The data analysis and findings will help you test the hypothesis and see whether it is true or false. Here is all you need to know about how to write a hypothesis for a  dissertation .

Research Hypothesis Definition

Not sure what the meaning of the research hypothesis is?

A research hypothesis predicts an answer to the research question  based on existing theoretical knowledge or experimental data.

Some studies may have multiple hypothesis statements depending on the research question(s).  A research hypothesis must be based on formulas, facts, and theories. It should be testable by data analysis, observations, experiments, or other scientific methodologies that can refute or support the statement.

Variables in Hypothesis

Developing a hypothesis is easy. Most research studies have two or more variables in the hypothesis, particularly studies involving correlational and experimental research. The researcher can control or change the independent variable(s) while measuring and observing the independent variable(s).

“How long a student sleeps affects test scores.”

In the above statement, the dependent variable is the test score, while the independent variable is the length of time spent in sleep. Developing a hypothesis will be easy if you know your research’s dependent and independent variables.

Once you have developed a thesis statement, questions such as how to write a hypothesis for the dissertation and how to test a research hypothesis become pretty straightforward.

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Researchprospect to the rescue then.

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Step-by-Step Guide on How to Write a Hypothesis

Here are the steps involved in how to write a hypothesis for a dissertation.

Step 1: Start with a Research Question

• Begin by asking a specific question about a topic of interest.
• This question should be clear, concise, and researchable.

Example: Does exposure to sunlight affect plant growth?

Step 2: Do Preliminary Research

• Before formulating a hypothesis, conduct background research to understand existing knowledge on the topic.
• Familiarise yourself with prior studies, theories, or observations related to the research question.

Step 3: Define Variables

• Independent Variable (IV): The factor that you change or manipulate in an experiment.
• Dependent Variable (DV): The factor that you measure.

Example: IV: Amount of sunlight exposure (e.g., 2 hours/day, 4 hours/day, 8 hours/day) DV: Plant growth (e.g., height in centimetres)

Step 4: Formulate the Hypothesis

• A hypothesis is a statement that predicts the relationship between variables.
• It is often written as an “if-then” statement.

Example: If plants receive more sunlight, then they will grow taller.

Step 5: Ensure it is Testable

A good hypothesis is empirically testable. This means you should be able to design an experiment or observation to test its validity.

Example: You can set up an experiment where plants are exposed to varying amounts of sunlight and then measure their growth over a period of time.

Step 6: Consider Potential Confounding Variables

• Confounding variables are factors other than the independent variable that might affect the outcome.
• It is important to identify these to ensure that they do not skew your results.

Example: Soil quality, water frequency, or type of plant can all affect growth. Consider keeping these constant in your experiment.

Step 7: Write the Null Hypothesis

• The null hypothesis is a statement that there is no effect or no relationship between the variables.
• It is what you aim to disprove or reject through your research.

Example: There is no difference in plant growth regardless of the amount of sunlight exposure.

Step 8: Test your Hypothesis

Design an experiment or conduct observations to test your hypothesis.

Example: Grow three sets of plants: one set exposed to 2 hours of sunlight daily, another exposed to 4 hours, and a third exposed to 8 hours. Measure and compare their growth after a set period.

Step 9: Analyse the Results

After testing, review your data to determine if it supports your hypothesis.

Step 10: Draw Conclusions

• Based on your findings, determine whether you can accept or reject the hypothesis.
• Remember, even if you reject your hypothesis, it’s a valuable result. It can guide future research and refine questions.

Three Ways to Phrase a Hypothesis

Try to use “if”… and “then”… to identify the variables. The independent variable should be present in the first part of the hypothesis, while the dependent variable will form the second part of the statement. Consider understanding the below research hypothesis example to create a specific, clear, and concise research hypothesis;

If an obese lady starts attending Zomba fitness classes, her health will improve.

In academic research, you can write the predicted variable relationship directly because most research studies correlate terms.

The number of Zomba fitness classes attended by the obese lady has a positive effect on health.

If your research compares two groups, then you can develop a hypothesis statement on their differences.

An obese lady who attended most Zumba fitness classes will have better health than those who attended a few.

How to Write a Null Hypothesis

If a statistical analysis is involved in your research, then you must create a null hypothesis. If you find any relationship between the variables, then the null hypothesis will be the default position that there is no relationship between them. H0 is the symbol for the null hypothesis, while the hypothesis is represented as H1. The null hypothesis will also answer your question, “How to test the research hypothesis in the dissertation.”

H0: The number of Zumba fitness classes attended by the obese lady does not affect her health.

H1: The number of Zumba fitness classes attended by obese lady positively affects health.

Also see:  Your Dissertation in Education

Hypothesis Examples

Research Question: Does the amount of sunlight a plant receives affect its growth? Hypothesis: Plants that receive more sunlight will grow taller than plants that receive less sunlight.

Research Question: Do students who eat breakfast perform better in school exams than those who don’t? Hypothesis: Students who eat a morning breakfast will score higher on school exams compared to students who skip breakfast.

Research Question: Does listening to music while studying impact a student’s ability to retain information? Hypothesis 1 (Directional): Students who listen to music while studying will retain less information than those who study in silence. Hypothesis 2 (Non-directional): There will be a difference in information retention between students who listen to music while studying and those who study in silence.

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If you are unsure about how to rest a research hypothesis in a dissertation or simply unsure about how to develop a hypothesis for your research, then you can take advantage of our dissertation services which cover every tiny aspect of a dissertation project you might need help with including but not limited to setting up a hypothesis and research questions,  help with individual chapters ,  full dissertation writing ,  statistical analysis , and much more.

Frequently Asked Questions

What are the 5 rules for writing a good hypothesis.

• Clear Statement: State a clear relationship between variables.
• Testable: Ensure it can be investigated and measured.
• Specific: Avoid vague terms, be precise in predictions.
• Falsifiable: Design to allow potential disproof.
• Relevant: Address research question and align with existing knowledge.

What is a hypothesis in simple words?

A hypothesis is an educated guess or prediction about something that can be tested. It is a statement that suggests a possible explanation for an event or phenomenon based on prior knowledge or observation. Scientists use hypotheses as a starting point for experiments to discover if they are true or false.

What is the hypothesis and examples?

A hypothesis is a testable prediction or explanation for an observation or phenomenon. For example, if plants are given sunlight, then they will grow. In this case, the hypothesis suggests that sunlight has a positive effect on plant growth. It can be tested by experimenting with plants in varying light conditions.

What is the hypothesis in research definition?

A hypothesis in research is a clear, testable statement predicting the possible outcome of a study based on prior knowledge and observation. It serves as the foundation for conducting experiments or investigations. Researchers test the validity of the hypothesis to draw conclusions and advance knowledge in a particular field.

Why is it called a hypothesis?

The term “hypothesis” originates from the Greek word “hypothesis,” which means “base” or “foundation.” It’s used to describe a foundational statement or proposition that can be tested. In scientific contexts, it denotes a tentative explanation for a phenomenon, serving as a starting point for investigation or experimentation.

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How to Write a Great Hypothesis

Hypothesis Definition, Format, Examples, and Tips

Verywell / Alex Dos Diaz

• The Scientific Method

Hypothesis Format

Falsifiability of a hypothesis.

• Operationalization

Hypothesis Types

Hypotheses examples.

• Collecting Data

A hypothesis is a tentative statement about the relationship between two or more variables. It is a specific, testable prediction about what you expect to happen in a study. It is a preliminary answer to your question that helps guide the research process.

Consider a study designed to examine the relationship between sleep deprivation and test performance. The hypothesis might be: "This study is designed to assess the hypothesis that sleep-deprived people will perform worse on a test than individuals who are not sleep-deprived."

At a Glance

A hypothesis is crucial to scientific research because it offers a clear direction for what the researchers are looking to find. This allows them to design experiments to test their predictions and add to our scientific knowledge about the world. This article explores how a hypothesis is used in psychology research, how to write a good hypothesis, and the different types of hypotheses you might use.

The Hypothesis in the Scientific Method

In the scientific method , whether it involves research in psychology, biology, or some other area, a hypothesis represents what the researchers think will happen in an experiment. The scientific method involves the following steps:

• Forming a question
• Performing background research
• Creating a hypothesis
• Designing an experiment
• Collecting data
• Analyzing the results
• Drawing conclusions
• Communicating the results

The hypothesis is a prediction, but it involves more than a guess. Most of the time, the hypothesis begins with a question which is then explored through background research. At this point, researchers then begin to develop a testable hypothesis.

Unless you are creating an exploratory study, your hypothesis should always explain what you  expect  to happen.

In a study exploring the effects of a particular drug, the hypothesis might be that researchers expect the drug to have some type of effect on the symptoms of a specific illness. In psychology, the hypothesis might focus on how a certain aspect of the environment might influence a particular behavior.

Remember, a hypothesis does not have to be correct. While the hypothesis predicts what the researchers expect to see, the goal of the research is to determine whether this guess is right or wrong. When conducting an experiment, researchers might explore numerous factors to determine which ones might contribute to the ultimate outcome.

In many cases, researchers may find that the results of an experiment  do not  support the original hypothesis. When writing up these results, the researchers might suggest other options that should be explored in future studies.

In many cases, researchers might draw a hypothesis from a specific theory or build on previous research. For example, prior research has shown that stress can impact the immune system. So a researcher might hypothesize: "People with high-stress levels will be more likely to contract a common cold after being exposed to the virus than people who have low-stress levels."

In other instances, researchers might look at commonly held beliefs or folk wisdom. "Birds of a feather flock together" is one example of folk adage that a psychologist might try to investigate. The researcher might pose a specific hypothesis that "People tend to select romantic partners who are similar to them in interests and educational level."

Elements of a Good Hypothesis

So how do you write a good hypothesis? When trying to come up with a hypothesis for your research or experiments, ask yourself the following questions:

• Is your hypothesis based on your research on a topic?
• Can your hypothesis be tested?
• Does your hypothesis include independent and dependent variables?

Before you come up with a specific hypothesis, spend some time doing background research. Once you have completed a literature review, start thinking about potential questions you still have. Pay attention to the discussion section in the  journal articles you read . Many authors will suggest questions that still need to be explored.

How to Formulate a Good Hypothesis

To form a hypothesis, you should take these steps:

• Collect as many observations about a topic or problem as you can.
• Evaluate these observations and look for possible causes of the problem.
• Create a list of possible explanations that you might want to explore.
• After you have developed some possible hypotheses, think of ways that you could confirm or disprove each hypothesis through experimentation. This is known as falsifiability.

In the scientific method ,  falsifiability is an important part of any valid hypothesis. In order to test a claim scientifically, it must be possible that the claim could be proven false.

Students sometimes confuse the idea of falsifiability with the idea that it means that something is false, which is not the case. What falsifiability means is that  if  something was false, then it is possible to demonstrate that it is false.

One of the hallmarks of pseudoscience is that it makes claims that cannot be refuted or proven false.

The Importance of Operational Definitions

A variable is a factor or element that can be changed and manipulated in ways that are observable and measurable. However, the researcher must also define how the variable will be manipulated and measured in the study.

Operational definitions are specific definitions for all relevant factors in a study. This process helps make vague or ambiguous concepts detailed and measurable.

For example, a researcher might operationally define the variable " test anxiety " as the results of a self-report measure of anxiety experienced during an exam. A "study habits" variable might be defined by the amount of studying that actually occurs as measured by time.

These precise descriptions are important because many things can be measured in various ways. Clearly defining these variables and how they are measured helps ensure that other researchers can replicate your results.

Replicability

One of the basic principles of any type of scientific research is that the results must be replicable.

Replication means repeating an experiment in the same way to produce the same results. By clearly detailing the specifics of how the variables were measured and manipulated, other researchers can better understand the results and repeat the study if needed.

Some variables are more difficult than others to define. For example, how would you operationally define a variable such as aggression ? For obvious ethical reasons, researchers cannot create a situation in which a person behaves aggressively toward others.

To measure this variable, the researcher must devise a measurement that assesses aggressive behavior without harming others. The researcher might utilize a simulated task to measure aggressiveness in this situation.

Hypothesis Checklist

• Does your hypothesis focus on something that you can actually test?
• Does your hypothesis include both an independent and dependent variable?
• Can you manipulate the variables?
• Can your hypothesis be tested without violating ethical standards?

The hypothesis you use will depend on what you are investigating and hoping to find. Some of the main types of hypotheses that you might use include:

• Simple hypothesis : This type of hypothesis suggests there is a relationship between one independent variable and one dependent variable.
• Complex hypothesis : This type suggests a relationship between three or more variables, such as two independent and dependent variables.
• Null hypothesis : This hypothesis suggests no relationship exists between two or more variables.
• Alternative hypothesis : This hypothesis states the opposite of the null hypothesis.
• Statistical hypothesis : This hypothesis uses statistical analysis to evaluate a representative population sample and then generalizes the findings to the larger group.
• Logical hypothesis : This hypothesis assumes a relationship between variables without collecting data or evidence.

A hypothesis often follows a basic format of "If {this happens} then {this will happen}." One way to structure your hypothesis is to describe what will happen to the  dependent variable  if you change the  independent variable .

The basic format might be: "If {these changes are made to a certain independent variable}, then we will observe {a change in a specific dependent variable}."

A few examples of simple hypotheses:

• "Students who eat breakfast will perform better on a math exam than students who do not eat breakfast."
• "Students who experience test anxiety before an English exam will get lower scores than students who do not experience test anxiety."​
• "Motorists who talk on the phone while driving will be more likely to make errors on a driving course than those who do not talk on the phone."
• "Children who receive a new reading intervention will have higher reading scores than students who do not receive the intervention."

Examples of a complex hypothesis include:

• "People with high-sugar diets and sedentary activity levels are more likely to develop depression."
• "Younger people who are regularly exposed to green, outdoor areas have better subjective well-being than older adults who have limited exposure to green spaces."

Examples of a null hypothesis include:

• "There is no difference in anxiety levels between people who take St. John's wort supplements and those who do not."
• "There is no difference in scores on a memory recall task between children and adults."
• "There is no difference in aggression levels between children who play first-person shooter games and those who do not."

Examples of an alternative hypothesis:

• "People who take St. John's wort supplements will have less anxiety than those who do not."
• "Adults will perform better on a memory task than children."
• "Children who play first-person shooter games will show higher levels of aggression than children who do not." 

Collecting Data on Your Hypothesis

Once a researcher has formed a testable hypothesis, the next step is to select a research design and start collecting data. The research method depends largely on exactly what they are studying. There are two basic types of research methods: descriptive research and experimental research.

Descriptive Research Methods

Descriptive research such as  case studies ,  naturalistic observations , and surveys are often used when  conducting an experiment is difficult or impossible. These methods are best used to describe different aspects of a behavior or psychological phenomenon.

Once a researcher has collected data using descriptive methods, a  correlational study  can examine how the variables are related. This research method might be used to investigate a hypothesis that is difficult to test experimentally.

Experimental Research Methods

Experimental methods  are used to demonstrate causal relationships between variables. In an experiment, the researcher systematically manipulates a variable of interest (known as the independent variable) and measures the effect on another variable (known as the dependent variable).

Unlike correlational studies, which can only be used to determine if there is a relationship between two variables, experimental methods can be used to determine the actual nature of the relationship—whether changes in one variable actually  cause  another to change.

The hypothesis is a critical part of any scientific exploration. It represents what researchers expect to find in a study or experiment. In situations where the hypothesis is unsupported by the research, the research still has value. Such research helps us better understand how different aspects of the natural world relate to one another. It also helps us develop new hypotheses that can then be tested in the future.

Thompson WH, Skau S. On the scope of scientific hypotheses .  R Soc Open Sci . 2023;10(8):230607. doi:10.1098/rsos.230607

Taran S, Adhikari NKJ, Fan E. Falsifiability in medicine: what clinicians can learn from Karl Popper [published correction appears in Intensive Care Med. 2021 Jun 17;:].  Intensive Care Med . 2021;47(9):1054-1056. doi:10.1007/s00134-021-06432-z

Eyler AA. Research Methods for Public Health . 1st ed. Springer Publishing Company; 2020. doi:10.1891/9780826182067.0004

Nosek BA, Errington TM. What is replication ?  PLoS Biol . 2020;18(3):e3000691. doi:10.1371/journal.pbio.3000691

Aggarwal R, Ranganathan P. Study designs: Part 2 - Descriptive studies .  Perspect Clin Res . 2019;10(1):34-36. doi:10.4103/picr.PICR_154_18

Nevid J. Psychology: Concepts and Applications. Wadworth, 2013.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

/images/cornell/logo35pt_cornell_white.svg" alt="what is a dissertation hypothesis"> Cornell University --> Graduate School

Guide to writing your thesis/dissertation, definition of dissertation and thesis.

The dissertation or thesis is a scholarly treatise that substantiates a specific point of view as a result of original research that is conducted by students during their graduate study. At Cornell, the thesis is a requirement for the receipt of the M.A. and M.S. degrees and some professional master’s degrees. The dissertation is a requirement of the Ph.D. degree.

Formatting Requirement and Standards

The Graduate School sets the minimum format for your thesis or dissertation, while you, your special committee, and your advisor/chair decide upon the content and length. Grammar, punctuation, spelling, and other mechanical issues are your sole responsibility. Generally, the thesis and dissertation should conform to the standards of leading academic journals in your field. The Graduate School does not monitor the thesis or dissertation for mechanics, content, or style.

“Papers Option” Dissertation or Thesis

A “papers option” is available only to students in certain fields, which are listed on the Fields Permitting the Use of Papers Option page , or by approved petition. If you choose the papers option, your dissertation or thesis is organized as a series of relatively independent chapters or papers that you have submitted or will be submitting to journals in the field. You must be the only author or the first author of the papers to be used in the dissertation. The papers-option dissertation or thesis must meet all format and submission requirements, and a singular referencing convention must be used throughout.

ProQuest Electronic Submissions

The dissertation and thesis become permanent records of your original research, and in the case of doctoral research, the Graduate School requires publication of the dissertation and abstract in its original form. All Cornell master’s theses and doctoral dissertations require an electronic submission through ProQuest, which fills orders for paper or digital copies of the thesis and dissertation and makes a digital version available online via their subscription database, ProQuest Dissertations & Theses . For master’s theses, only the abstract is available. ProQuest provides worldwide distribution of your work from the master copy. You retain control over your dissertation and are free to grant publishing rights as you see fit. The formatting requirements contained in this guide meet all ProQuest specifications.

Copies of Dissertation and Thesis

Copies of Ph.D. dissertations and master’s theses are also uploaded in PDF format to the Cornell Library Repository, eCommons . A print copy of each master’s thesis and doctoral dissertation is submitted to Cornell University Library by ProQuest.

What Is the Hypothesis in a Dissertation?

Types of Research Hypotheses

Your dissertation hypothesis is the prediction statement based on the theory that you are researching in your study. Doctoral candidates test their hypotheses in their dissertations, their original research project that they write and defend in order to graduate. Here, you will learn about hypothesis types, writing and testing for your dissertation and hypothesis examples.

In your dissertation, you may create a hypothesis based on your research that predicts a relationship, called an "alternative" or "research" hypothesis. To balance your findings, you will also create a "null" hypothesis, which claims that the relationship that is to be proven in the research hypothesis does not exist. According to Alan Agresti and Barbara Finlay in “Statistical Methods for the Social Sciences,” the null is directly tested and predicts no effect, and the alternative contradicts the null and predicts an effect.

There can also be types of research hypotheses. As indicated in Research Methods Knowledge Base, a "one-tailed" hypothesis specifies a direction, either an increase or a decrease, while a "two-tailed" hypothesis does not specify a direction, only a change.

You must write your dissertation hypotheses before you collect and analyze your data. A useful hypothesis as testable and should include the independent variable, which you control, and the dependent variable, which is observed or measured based on the independent variable. For example, taking media consumption of violence as the independent variable and aggression as the dependent variable, the null hypothesis could state, “Media consumption of violence has no effect on aggression,” while the alternative hypothesis would state, “Media consumption of violence has an effect on aggression.” Similarly, if you wanted to create a one-tailed hypothesis, you would indicate a direction, such as, “Media consumption of violence increases aggression." Make sure that your statements are brief and straight-to-the-point and keep in mind the results you will measure in your study.

Research Methods Knowledge Base states that hypothesis testing assumes that both mutually exclusive hypotheses (research and null) exhaust every possible outcome and in the end, one is accepted and the other is rejected. When you analyze your data, you conclude whether you reject your null hypothesis and accept your alternative or fail to reject your null.

A dissertation can test a very broad range of hypotheses, depending on the discipline and focus of the writer. For example Antoinette Hill from Our Lady of the Lake University lent her research hypothesis to the title of her dissertation, "Are There Differences in Leadership Styles at Local, State, and National/Federal Levels among Advocates for People with Disabilities?" Her hypothesis used leadership as the independent variable and level of advocacy for people with disabilities as the dependent variable. Simply looking through the titles of dissertations published at a university of college each year can provide a long list of examples of a variety of hypotheses and ways to present them.

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• Our Lady of the Lake University; Are There Differences in Leadership Styles at Local, State, and National/Federal Levels among Advocates for People with Disabilities?; Antoinette J.G. Hill
• Our Lady of the Lake University; Do We March to the Beat of a Different Drum? Examining the Differences in the Perception of Leadership Styles between Academic Teachers and Music Teachers; Emma Yvette Dromgoole
• Research Methods Knowledge Base: Hypotheses; William M.K. Trochim
• Statistical Methods for the Social Sciences; Alan Agresti and Barbara Finlay
• Online Stat Book: Type I and II Errors; David M. Lane et al.

Elaine J. Dispo, a journalist since 1996, specializes in education. She wrote for “Fil-Am Press.” Dispo earned the Texas Intercollegiate Press Association Frank W. Buckley Scholarship and the Students In Free Enterprise Sam M. Walton Fellowship. She holds her B.A. and M.A. in Communication and is a Ph.D. candidate.

How to Develop a Good Research Hypothesis

The story of a research study begins by asking a question. Researchers all around the globe are asking curious questions and formulating research hypothesis. However, whether the research study provides an effective conclusion depends on how well one develops a good research hypothesis. Research hypothesis examples could help researchers get an idea as to how to write a good research hypothesis.

This blog will help you understand what is a research hypothesis, its characteristics and, how to formulate a research hypothesis

Table of Contents

What is Hypothesis?

Hypothesis is an assumption or an idea proposed for the sake of argument so that it can be tested. It is a precise, testable statement of what the researchers predict will be outcome of the study.  Hypothesis usually involves proposing a relationship between two variables: the independent variable (what the researchers change) and the dependent variable (what the research measures).

What is a Research Hypothesis?

Research hypothesis is a statement that introduces a research question and proposes an expected result. It is an integral part of the scientific method that forms the basis of scientific experiments. Therefore, you need to be careful and thorough when building your research hypothesis. A minor flaw in the construction of your hypothesis could have an adverse effect on your experiment. In research, there is a convention that the hypothesis is written in two forms, the null hypothesis, and the alternative hypothesis (called the experimental hypothesis when the method of investigation is an experiment).

Characteristics of a Good Research Hypothesis

As the hypothesis is specific, there is a testable prediction about what you expect to happen in a study. You may consider drawing hypothesis from previously published research based on the theory.

A good research hypothesis involves more effort than just a guess. In particular, your hypothesis may begin with a question that could be further explored through background research.

To help you formulate a promising research hypothesis, you should ask yourself the following questions:

• Is the language clear and focused?
• What is the relationship between your hypothesis and your research topic?
• Is your hypothesis testable? If yes, then how?
• What are the possible explanations that you might want to explore?
• Does your hypothesis include both an independent and dependent variable?
• Can you manipulate your variables without hampering the ethical standards?
• Does your research predict the relationship and outcome?
• Is your research simple and concise (avoids wordiness)?
• Is it clear with no ambiguity or assumptions about the readers’ knowledge
• Is your research observable and testable results?
• Is it relevant and specific to the research question or problem?

The questions listed above can be used as a checklist to make sure your hypothesis is based on a solid foundation. Furthermore, it can help you identify weaknesses in your hypothesis and revise it if necessary.

Source: Educational Hub

How to formulate a research hypothesis.

A testable hypothesis is not a simple statement. It is rather an intricate statement that needs to offer a clear introduction to a scientific experiment, its intentions, and the possible outcomes. However, there are some important things to consider when building a compelling hypothesis.

1. State the problem that you are trying to solve.

Make sure that the hypothesis clearly defines the topic and the focus of the experiment.

2. Try to write the hypothesis as an if-then statement.

Follow this template: If a specific action is taken, then a certain outcome is expected.

3. Define the variables

Independent variables are the ones that are manipulated, controlled, or changed. Independent variables are isolated from other factors of the study.

Dependent variables , as the name suggests are dependent on other factors of the study. They are influenced by the change in independent variable.

4. Scrutinize the hypothesis

Evaluate assumptions, predictions, and evidence rigorously to refine your understanding.

Types of Research Hypothesis

The types of research hypothesis are stated below:

1. Simple Hypothesis

It predicts the relationship between a single dependent variable and a single independent variable.

2. Complex Hypothesis

It predicts the relationship between two or more independent and dependent variables.

3. Directional Hypothesis

It specifies the expected direction to be followed to determine the relationship between variables and is derived from theory. Furthermore, it implies the researcher’s intellectual commitment to a particular outcome.

4. Non-directional Hypothesis

It does not predict the exact direction or nature of the relationship between the two variables. The non-directional hypothesis is used when there is no theory involved or when findings contradict previous research.

5. Associative and Causal Hypothesis

The associative hypothesis defines interdependency between variables. A change in one variable results in the change of the other variable. On the other hand, the causal hypothesis proposes an effect on the dependent due to manipulation of the independent variable.

6. Null Hypothesis

Null hypothesis states a negative statement to support the researcher’s findings that there is no relationship between two variables. There will be no changes in the dependent variable due the manipulation of the independent variable. Furthermore, it states results are due to chance and are not significant in terms of supporting the idea being investigated.

7. Alternative Hypothesis

It states that there is a relationship between the two variables of the study and that the results are significant to the research topic. An experimental hypothesis predicts what changes will take place in the dependent variable when the independent variable is manipulated. Also, it states that the results are not due to chance and that they are significant in terms of supporting the theory being investigated.

Research Hypothesis Examples of Independent and Dependent Variables

Research Hypothesis Example 1 The greater number of coal plants in a region (independent variable) increases water pollution (dependent variable). If you change the independent variable (building more coal factories), it will change the dependent variable (amount of water pollution).

Research Hypothesis Example 2 What is the effect of diet or regular soda (independent variable) on blood sugar levels (dependent variable)? If you change the independent variable (the type of soda you consume), it will change the dependent variable (blood sugar levels)

You should not ignore the importance of the above steps. The validity of your experiment and its results rely on a robust testable hypothesis. Developing a strong testable hypothesis has few advantages, it compels us to think intensely and specifically about the outcomes of a study. Consequently, it enables us to understand the implication of the question and the different variables involved in the study. Furthermore, it helps us to make precise predictions based on prior research. Hence, forming a hypothesis would be of great value to the research. Here are some good examples of testable hypotheses.

More importantly, you need to build a robust testable research hypothesis for your scientific experiments. A testable hypothesis is a hypothesis that can be proved or disproved as a result of experimentation.

Importance of a Testable Hypothesis

To devise and perform an experiment using scientific method, you need to make sure that your hypothesis is testable. To be considered testable, some essential criteria must be met:

• There must be a possibility to prove that the hypothesis is true.
• There must be a possibility to prove that the hypothesis is false.
• The results of the hypothesis must be reproducible.

Without these criteria, the hypothesis and the results will be vague. As a result, the experiment will not prove or disprove anything significant.

What are your experiences with building hypotheses for scientific experiments? What challenges did you face? How did you overcome these challenges? Please share your thoughts with us in the comments section.

Frequently Asked Questions

The steps to write a research hypothesis are: 1. Stating the problem: Ensure that the hypothesis defines the research problem 2. Writing a hypothesis as an 'if-then' statement: Include the action and the expected outcome of your study by following a ‘if-then’ structure. 3. Defining the variables: Define the variables as Dependent or Independent based on their dependency to other factors. 4. Scrutinizing the hypothesis: Identify the type of your hypothesis

Hypothesis testing is a statistical tool which is used to make inferences about a population data to draw conclusions for a particular hypothesis.

Hypothesis in statistics is a formal statement about the nature of a population within a structured framework of a statistical model. It is used to test an existing hypothesis by studying a population.

Research hypothesis is a statement that introduces a research question and proposes an expected result. It forms the basis of scientific experiments.

The different types of hypothesis in research are: • Null hypothesis: Null hypothesis is a negative statement to support the researcher’s findings that there is no relationship between two variables. • Alternate hypothesis: Alternate hypothesis predicts the relationship between the two variables of the study. • Directional hypothesis: Directional hypothesis specifies the expected direction to be followed to determine the relationship between variables. • Non-directional hypothesis: Non-directional hypothesis does not predict the exact direction or nature of the relationship between the two variables. • Simple hypothesis: Simple hypothesis predicts the relationship between a single dependent variable and a single independent variable. • Complex hypothesis: Complex hypothesis predicts the relationship between two or more independent and dependent variables. • Associative and casual hypothesis: Associative and casual hypothesis predicts the relationship between two or more independent and dependent variables. • Empirical hypothesis: Empirical hypothesis can be tested via experiments and observation. • Statistical hypothesis: A statistical hypothesis utilizes statistical models to draw conclusions about broader populations.

Wow! You really simplified your explanation that even dummies would find it easy to comprehend. Thank you so much.

Thanks a lot for your valuable guidance.

I enjoy reading the post. Hypotheses are actually an intrinsic part in a study. It bridges the research question and the methodology of the study.

Useful piece!

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It very interesting to read the topic, can you guide me any specific example of hypothesis process establish throw the Demand and supply of the specific product in market

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It is really a useful for me Kindly give some examples of hypothesis

It was a well explained content ,can you please give me an example with the null and alternative hypothesis illustrated

clear and concise. thanks.

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Research Hypothesis In Psychology: Types, & Examples

Saul McLeod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul McLeod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

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On This Page:

A research hypothesis, in its plural form “hypotheses,” is a specific, testable prediction about the anticipated results of a study, established at its outset. It is a key component of the scientific method .

Hypotheses connect theory to data and guide the research process towards expanding scientific understanding

Some key points about hypotheses:

• A hypothesis expresses an expected pattern or relationship. It connects the variables under investigation.
• It is stated in clear, precise terms before any data collection or analysis occurs. This makes the hypothesis testable.
• A hypothesis must be falsifiable. It should be possible, even if unlikely in practice, to collect data that disconfirms rather than supports the hypothesis.
• Hypotheses guide research. Scientists design studies to explicitly evaluate hypotheses about how nature works.
• For a hypothesis to be valid, it must be testable against empirical evidence. The evidence can then confirm or disprove the testable predictions.
• Hypotheses are informed by background knowledge and observation, but go beyond what is already known to propose an explanation of how or why something occurs.

Predictions typically arise from a thorough knowledge of the research literature, curiosity about real-world problems or implications, and integrating this to advance theory. They build on existing literature while providing new insight.

Types of Research Hypotheses

Alternative hypothesis.

The research hypothesis is often called the alternative or experimental hypothesis in experimental research.

It typically suggests a potential relationship between two key variables: the independent variable, which the researcher manipulates, and the dependent variable, which is measured based on those changes.

The alternative hypothesis states a relationship exists between the two variables being studied (one variable affects the other).

A hypothesis is a testable statement or prediction about the relationship between two or more variables. It is a key component of the scientific method. Some key points about hypotheses:

• Important hypotheses lead to predictions that can be tested empirically. The evidence can then confirm or disprove the testable predictions.

In summary, a hypothesis is a precise, testable statement of what researchers expect to happen in a study and why. Hypotheses connect theory to data and guide the research process towards expanding scientific understanding.

An experimental hypothesis predicts what change(s) will occur in the dependent variable when the independent variable is manipulated.

It states that the results are not due to chance and are significant in supporting the theory being investigated.

The alternative hypothesis can be directional, indicating a specific direction of the effect, or non-directional, suggesting a difference without specifying its nature. It’s what researchers aim to support or demonstrate through their study.

Null Hypothesis

The null hypothesis states no relationship exists between the two variables being studied (one variable does not affect the other). There will be no changes in the dependent variable due to manipulating the independent variable.

It states results are due to chance and are not significant in supporting the idea being investigated.

The null hypothesis, positing no effect or relationship, is a foundational contrast to the research hypothesis in scientific inquiry. It establishes a baseline for statistical testing, promoting objectivity by initiating research from a neutral stance.

Many statistical methods are tailored to test the null hypothesis, determining the likelihood of observed results if no true effect exists.

This dual-hypothesis approach provides clarity, ensuring that research intentions are explicit, and fosters consistency across scientific studies, enhancing the standardization and interpretability of research outcomes.

Nondirectional Hypothesis

A non-directional hypothesis, also known as a two-tailed hypothesis, predicts that there is a difference or relationship between two variables but does not specify the direction of this relationship.

It merely indicates that a change or effect will occur without predicting which group will have higher or lower values.

For example, “There is a difference in performance between Group A and Group B” is a non-directional hypothesis.

Directional Hypothesis

A directional (one-tailed) hypothesis predicts the nature of the effect of the independent variable on the dependent variable. It predicts in which direction the change will take place. (i.e., greater, smaller, less, more)

It specifies whether one variable is greater, lesser, or different from another, rather than just indicating that there’s a difference without specifying its nature.

For example, “Exercise increases weight loss” is a directional hypothesis.

Falsifiability

The Falsification Principle, proposed by Karl Popper , is a way of demarcating science from non-science. It suggests that for a theory or hypothesis to be considered scientific, it must be testable and irrefutable.

Falsifiability emphasizes that scientific claims shouldn’t just be confirmable but should also have the potential to be proven wrong.

It means that there should exist some potential evidence or experiment that could prove the proposition false.

However many confirming instances exist for a theory, it only takes one counter observation to falsify it. For example, the hypothesis that “all swans are white,” can be falsified by observing a black swan.

For Popper, science should attempt to disprove a theory rather than attempt to continually provide evidence to support a research hypothesis.

Can a Hypothesis be Proven?

Hypotheses make probabilistic predictions. They state the expected outcome if a particular relationship exists. However, a study result supporting a hypothesis does not definitively prove it is true.

All studies have limitations. There may be unknown confounding factors or issues that limit the certainty of conclusions. Additional studies may yield different results.

In science, hypotheses can realistically only be supported with some degree of confidence, not proven. The process of science is to incrementally accumulate evidence for and against hypothesized relationships in an ongoing pursuit of better models and explanations that best fit the empirical data. But hypotheses remain open to revision and rejection if that is where the evidence leads.

• Disproving a hypothesis is definitive. Solid disconfirmatory evidence will falsify a hypothesis and require altering or discarding it based on the evidence.
• However, confirming evidence is always open to revision. Other explanations may account for the same results, and additional or contradictory evidence may emerge over time.

We can never 100% prove the alternative hypothesis. Instead, we see if we can disprove, or reject the null hypothesis.

If we reject the null hypothesis, this doesn’t mean that our alternative hypothesis is correct but does support the alternative/experimental hypothesis.

Upon analysis of the results, an alternative hypothesis can be rejected or supported, but it can never be proven to be correct. We must avoid any reference to results proving a theory as this implies 100% certainty, and there is always a chance that evidence may exist which could refute a theory.

How to Write a Hypothesis

• Identify variables . The researcher manipulates the independent variable and the dependent variable is the measured outcome.
• Operationalized the variables being investigated . Operationalization of a hypothesis refers to the process of making the variables physically measurable or testable, e.g. if you are about to study aggression, you might count the number of punches given by participants.
• Decide on a direction for your prediction . If there is evidence in the literature to support a specific effect of the independent variable on the dependent variable, write a directional (one-tailed) hypothesis. If there are limited or ambiguous findings in the literature regarding the effect of the independent variable on the dependent variable, write a non-directional (two-tailed) hypothesis.
• Make it Testable : Ensure your hypothesis can be tested through experimentation or observation. It should be possible to prove it false (principle of falsifiability).
• Clear & concise language . A strong hypothesis is concise (typically one to two sentences long), and formulated using clear and straightforward language, ensuring it’s easily understood and testable.

Consider a hypothesis many teachers might subscribe to: students work better on Monday morning than on Friday afternoon (IV=Day, DV= Standard of work).

Now, if we decide to study this by giving the same group of students a lesson on a Monday morning and a Friday afternoon and then measuring their immediate recall of the material covered in each session, we would end up with the following:

• The alternative hypothesis states that students will recall significantly more information on a Monday morning than on a Friday afternoon.
• The null hypothesis states that there will be no significant difference in the amount recalled on a Monday morning compared to a Friday afternoon. Any difference will be due to chance or confounding factors.

More Examples

• Memory : Participants exposed to classical music during study sessions will recall more items from a list than those who studied in silence.
• Social Psychology : Individuals who frequently engage in social media use will report higher levels of perceived social isolation compared to those who use it infrequently.
• Developmental Psychology : Children who engage in regular imaginative play have better problem-solving skills than those who don’t.
• Clinical Psychology : Cognitive-behavioral therapy will be more effective in reducing symptoms of anxiety over a 6-month period compared to traditional talk therapy.
• Cognitive Psychology : Individuals who multitask between various electronic devices will have shorter attention spans on focused tasks than those who single-task.
• Health Psychology : Patients who practice mindfulness meditation will experience lower levels of chronic pain compared to those who don’t meditate.
• Organizational Psychology : Employees in open-plan offices will report higher levels of stress than those in private offices.
• Behavioral Psychology : Rats rewarded with food after pressing a lever will press it more frequently than rats who receive no reward.

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In the vast landscape of academic inquiry, the hypothesis stands as a beacon of focus, a starting point that ignites the pursuit of knowledge. It is a pivotal element in the journey of every dissertation, a concise statement that encapsulates the essence of the research endeavour. A well-constructed hypothesis defines the research's purpose and sets the course for systematic investigation and analysis.

Find In-depth Details on Research Projects Here 

In this article, we comprehensively explore the role and significance of the hypothesis, dissecting its various forms and illuminating its critical position in the research process. Whether you are a seasoned researcher or taking your first steps into the world of academia, the hypothesis remains a cornerstone, a guiding light that shapes the inquiry, fuels curiosity, and ultimately leads to the unveiling of new insights and understanding. Unlock the essence of a dissertation hypothesis with our blog post, clarifying 'What is a Hypothesis in a Dissertation' for your research journey.

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What is a Hypothesis in a Dissertation?

Hypotheses play a vital role in any study. How would you define the underlying belief of a dissertation? It serves as a response to the researcher's posed research question. Derived from the examined facts, it anticipates connections among them. After analyzing the selected research issue, the researcher develops initial notions about the relationships between known facts by addressing the most significant concerns.

Explore What is Hypothesis in Psychology? 

The research hypothesis gradually takes effect on this basis. Dissertation hypotheses are vital for scientific research: they guide study direction, enhance result prediction, inform data collection, and validate theories through experimentation.

Learn More About Research Hypothesis Here 

Expert Tip: Crafting an accurate hypothesis requires a firm grasp of the historical context and theoretical foundations within the field where the issue is situated.

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What are some characteristics of a dissertation hypothesis.

Here are some points to remember:

Sources that can be trusted should be included in it. It is your responsibility as an author to defend your position, so be sure you include testable assumptions and material that is available on the internet. The problem studied must be emphasized, and powerful statements should be delivered.

There should be no question about it. You should not turn a hypothesis into a rhetorical question that doesn't need an answer. Dissertation hypotheses are more positive than thesis statements since you need to research and draw conclusions.

There should not be too much complexity. It implies that your readers also understand the point if you make the dissertation hypothesis overt. Conversely, defending your position risks falling into the wordiness trap. Make a brief, precise idea that represents your concept, and check the word limit.

References and citations should be included. If there are no references, what is the point of a hypothesis? References and bibliographies that helped you make an advanced step in that area should be cited along with previous authors and problems studied earlier. Give credit to the researchers when you base your academic paper on their work.

Why is the Dissertation Hypothesis Important?

A research hypothesis is a prediction about the outcome of a study that can be tested. This includes variables and their relationships as well as aspects such as the population. Based on empirical evidence, it specifies the role played by each element. In conducting research, the researcher makes certain assumptions. As far as we know, the aim is to present the expected results after they are tested.

• This ensures the validity and scientific integrity of the entire research process.
• The probability of failure and progress in research can be assumed.
• As a result, it helps connect the underlying theory and the specific research question .
• In addition, it assists in data analysis and measures research validity and reliability.
• It proves the validity of the research by providing a basis or evidence.
• In contrast to theoretical descriptions, it helps to describe research studies in concrete terms.

Main Sources of Hypothesis

• Theoretical science.
• Observations based on previous studies and current experiences.
• Similarities between different phenomena.
• A general pattern of thinking that affects people.

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What are Some of the Types of Hypotheses?

Understanding the concept of hypotheses completely is essential for creating a good hypothesis. It is, therefore, important to understand the different types of hypotheses before you begin writing.

Regarding types, there are mainly two, namely Alternative and Null hypotheses.

1. Alternative Hypothesis

Academically, it is often referred to as H1. Identifying the expected outcome of your research procedure is the purpose of this type of research. Furthermore, it can be further classified into two subcategories:

The first is directional: This statement specifies how to gather the expected results. In most cases, it is used to establish a relationship between variables rather than to compare multiple groups. 

Example : The performance of athletes on the field will be improved by attending physiotherapy sessions.

Another alternative hypothesis is non-directional: As the name implies, a non-directional alternative hypothesis does not suggest a direction for the expected outcomes.

Example : Attending physiotherapy sessions affects an athlete's performance on the field.

Observe carefully the two statements in the above examples. A directional statement states that physiotherapy sessions will enhance or boost performance. Non-directional statements establish a correlation between the two variables (physiotherapy sessions and performance). There is no indication, however, that physiotherapy sessions will result in better or worse performance.

2. Null Hypothesis

H0 is the null hypothesis. As opposed to an alternative hypothesis, there is a null hypothesis. This is a statement that defines the opposite of what you expect to see during your research. Essentially, a null hypothesis asserts no relationship exists between the variables specified in the hypothesis.

The last example can be stated as follows to provide an idea of how a null hypothesis is written:

Example: On-field performance is not affected by physiotherapy sessions.

Alternative and null hypotheses are written to clarify and examine the research problem in detail. A research problem statement is a question that is not valid or testable, while a hypothesis is a hypothesis that can be tested. The former, however, can be tested, validated, or denied.

3. Simple Hypothesis

Statements that reflect the relationship between dependent and independent variables are called dependent statements. You will understand the example if you follow it through,

• Lung cancer is a common result of smoking
• Obesity may result from sugar-rich diets

4. Complex Hypothesis

Depending on the research problem, complex hypotheses imply a relationship between several dependent variables. You can better understand this by following the examples below:

• A person who eats more fruits tends to have a higher immunity, a lower cholesterol level, and a higher metabolic rate.
• Work hours can be made more productive by taking short breaks during them.

5. Empirical Hypothesis

A "Working Hypothesis" is also known as an experiment that validates a theory. As a result, the statement appears plausible and not just a wild guess.

In order to learn how to create an empirical hypothesis, here are a few examples:

• Anaemia is less likely to occur in people who take iron tablets than in ones who take vitamin B12.
• Giving food immediately after obedience to a command helps dogs learn faster.

6. Statistical Hypothesis

The statistical hypothesis is a statement claiming an explanation based on a sample of the population. An example of logic-based analysis is researching a particular population and gathering evidence using a certain sample size.

The following are some hypothetical statistical statements to help you understand how your research can be conducted by leveraging statistical data:

• 54% of Canadians are between the ages of 22 and 27
• An Agro-based industry in Kenya employs 57% of the rural population.

Hypothesis VS Prediction: How Do They Differ?

Hypotheses can mean predictions, too, causing confusion. Both are guesses but different. Hypotheses are for science; predictions are more common outside of science. A hypothesis is like a smart guess. It uses what we've learned to understand things we're unsure about. It connects facts to make an educated scientific guess. Experiments test these guesses. Assumptions are what you think will happen in the study.

Predictions are different. They're often just guesses without proof. While they could be scientific in theory, they usually lack facts. Predictions guess what might happen, often by people who don't know much. Also, how we prove these is very different. Predictions have only one test: if they're right or wrong when the event happens. Hypotheses can be tested many times by different scientists using various methods.

The following examples will help you better understand the difference between a hypothesis and a prediction:

Example Hypothesis: Eating more fruits and vegetables will lead to faster weight loss and a cleaner body.

The hypothesis is based on general knowledge (i.e. fruits and vegetables have fewer calories than other foods) and past experiences (i.e. people who choose healthier foods like fruits and vegetables lose more weight). Though it is still a guess, it is based on facts and can be tested.

Example Prediction: 2023 will be the end of the world.

A prediction foretells what will happen in the future. However, given the lack of actual grounded evidence to support this claim, it is a fictional assumption.

How to Develop a Hypothesis?

It is not easy to select a hypothesis. Let us suppose you have chosen an intriguing topic with lots of research potential. It may be difficult for you to choose a dissertation hypothesis in this case. When you have multiple exploration sources, it can be challenging to determine the hypothesis. These dissertation hypothesis writing guidelines/steps can help you improve the quality of your hypothesis part.

1. Conducting Research is the First Step

Before creating a hypothesis, a person should collect considerable information. You should read as much as you can on the topic under research; you should read books and articles by scientists, experts and professionals who have examined something related to your topic. By absorbing their knowledge and experience, you will be ready to conduct your own research. Gaining new facts may enable you to analyse other scholars' thoughts objectively and even criticize them after gaining new knowledge about your problem. You are ready to conduct research when there is something that has not been investigated about your topic. Make a list of what you would like to investigate.

2. Hypothesis Generation is the Second Step

It is now time to formulate a clear hypothesis based on your research. When a student chooses a research topic, they often have an idea of what they are going to investigate. At this step, many students fail to realize the problem of their research and need time to enhance their knowledge by reading clever thoughts by famous scholars. Each student must submit a dissertation proposal with a hypothesis or approximate thesis statement to be considered for a dissertation, but a true hypothesis is only presented after thorough research is conducted. Your hypothesis will be supported by the data and evidence you collect after you complete the investigation.

3. Supporting Your Hypothesis in Step Three

Half the success lies in brainstorming good concrete hypotheses that attract the reader's attention. You will be awarded a degree when your professor recognizes that your dissertation deserves to be read. To answer this rhetorical question, you asked at the start of the dissertation, you must support your hypothesis with reliable evidence. In other words, you should support your hypothesis throughout the dissertation in order to persuade the reader. Utilize the ideas of renowned scholars and experts in your field as well as your own research.

What are Some Tips and Tricks for Writing A Good Hypothesis?

Below are some tricks and tips for your convenience:

• For a dissertation hypothesis to be effective, you will need to design an experiment that will allow the data you collect to be analyzed statistically. Hypothesis testing begins with this step. It is possible to reject either type of hypothesis through statistical analysis. As the student, you will have to refine or redesign the research hypothesis if it is rejected.
• When formulating your dissertation hypothesis, conduct thorough research. Do not assume that your alternative and null hypotheses are true out of the blue. You have to believe them to be true. An effective dissertation hypothesis can be backed up by literature and research.
• The hypothesis should be simple enough for the reader to understand. As a writer, if your hypotheses are complicated, it can be hard to explain your ideas well. Know how many words you're expected to use for your hypothesis, and once you've got that, make sure it's short and to the point.
• Always make sure that the hypothesis is related to your paper's aims and objectives. This is crucial if you are making a vague or ambiguous claim. Moreover, the hypothesis should be linked with your research questions; through it, your readers should be able to get a clear sense of what you are trying to convey. You will be able to establish this relationship pretty well if you get dissertation help from a professional writer. In case you are too worried: do not be because you have firm support to rely on since we are experts at providing dissertation writing assistance.
• Remember that citations and references should also be included. In order to give credit where it is due, you should cite any work you used to develop your ideas. 

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What Exactly Is A Dissertation (Or Thesis)?

If you’ve landed on this article, chances are you’ve got a dissertation or thesis project coming up (hopefully it’s not due next week!), and you’re now asking yourself the classic question, “what the #%#%^ is a dissertation?”…

In this post, I’ll break down the basics of exactly what a dissertation is, in plain language. No ivory tower academia.

So, let’s get to the pressing question – what is a dissertation?

A dissertation (or thesis) = a research project

Simply put, a dissertation (or thesis – depending on which country you’re studying in) is a research project . In other words, your task is to ask a research question (or set of questions) and then set about finding the answer(s). Simple enough, right?

Well, the catch is that you’ve got to undertake this research project in an academic fashion , and there’s a wealth of academic language that makes it all (look) rather confusing (thanks, academia). However, at its core, a dissertation is about undertaking research (investigating something). This is really important to understand, because the key skill that your university is trying to develop in you (and will be testing you on) is your ability to undertake research in a well-structured structured, critical and academically rigorous way.

This research-centric focus is significantly different from assignments or essays, where the main concern is whether you can understand and apply the prescribed module theory. I’ll explain some other key differences between dissertations or theses and assignments a bit later in this article, but for now, let’s dig a little deeper into what a dissertation is.

A dissertation (or thesis) is a process.

Okay, so now that you understand that a dissertation is a research project (which is testing your ability to undertake quality research), let’s go a little deeper into what that means in practical terms.

The best way to understand a dissertation is to view it as a process – more specifically a research process (it is a research project, after all). This process involves four essential steps, which I’ll discuss below.

Step 1 – You identify a worthy research question

The very first step of the research process is to find a meaningful research question, or a set of questions. In other words, you need to find a suitable topic for investigation. Since a dissertation is all about research, identifying the key question(s) is the critical first step. Here’s an example of a well-defined research question:

“Which factors cultivate or erode customer trust in UK-based life insurance brokers?”

This clearly defined question sets the direction of the research . From the question alone, you can understand exactly what the outcome of the research might look like – i.e. a set of findings about which factors help brokers develop customer trust, and which factors negatively impact trust.

But how on earth do I find a suitable research question, you ask? Don’t worry about this right now – when you’re ready, you can read our article about finding a dissertation topic . However, right now, the important thing to understand is that the first step in the dissertation process is identifying the key research question(s). Without a clear question, you cannot move forward.

Step 2 – You review the existing research

Once the research question is clearly established, the next step is to review the existing research/literature (both academic and professional/industry) to understand what has already been said with regard to the question. In academic speak, this is called a literature review .

This step is critically important as, in all likelihood, someone else has asked a similar question to yours, and therefore you can build on the work of others . Good academic research is not about reinventing the wheel or starting from scratch – it’s about familiarising yourself with the current state of knowledge, and then using that as your basis for further research.

Simply put, the first step to answering your research question is to look at what other researchers have to say about it. Sometimes this will lead you to change your research question or direction slightly (for example, if the existing research already provides a comprehensive answer). Don’t stress – this is completely acceptable and a normal part of the research process.

Step 3 – You carry out your own research

Once you’ve got a decent understanding of the existing state of knowledge, you will carry out your own research by collecting and analysing the relevant data. This could take to form of primary research (collecting your own fresh data), secondary research (synthesising existing data) or both, depending on the nature of your degree, research question(s) and even your university’s specific requirements.

Exactly what data you collect and how you go about analysing it depends largely on the research question(s) you are asking, but very often you will take either a qualitative approach (e.g. interviews or focus groups) or a quantitative approach (e.g. online surveys). In other words, your research approach can be words-based, numbers-based, or both . Don’t let the terminology scare you and don’t worry about these technical details for now – we’ll explain research methodology in later posts .

Step 4 – You develop answers to your research question(s)

Combining your understanding of the existing research (Step 2) with the findings from your own original research (Step 3), you then (attempt to) answer your original research question (s). The process of asking, investigating and then answering has gone full circle.

Of course, your research won’t always provide rock-solid answers to your original questions, and indeed you might find that your findings spur new questions altogether. Don’t worry – this is completely acceptable and is a natural part of the research process.

So, to recap, a dissertation is best understood as a research process, where you are:

• Ask a meaningful research question(s)
• Carry out the research (both existing research and your own)
• Analyse the results to develop an answer to your original research question(s).

Depending on your specific degree and the way your university designs its coursework, you might be asking yourself “but isn’t this just a longer version of a normal assignment?”. Well, it’s quite possible that your previous assignments required a similar research process, but there are some key differences you need to be aware of, which I’ll explain next.

Same same, but different…

While there are, naturally, similarities between dissertations/theses and assignments, its important to understand the differences  so that you approach your dissertation with the right mindset and focus your energy on the right things. Here, I’ll discuss four ways in which writing a dissertation differs substantially from assignments and essays, and why this matters.

Difference #1 – You must decide (and live with) the direction.

Unlike assignments or essays, where the general topic is determined for you, for your dissertation, you will (typically) be the one who decides on your research questions and overall direction. This means that you will need to:

• Find a suitable research question (or set of questions)
• Justify why its worth investigating (in the form of a research proposal )
• Find all the relevant existing research and familiarise yourself with the theory

This is very different from assignments, where the theory is given to you on a platter, and the direction is largely pre-defined. Therefore, before you start the dissertation process, you need to understand the basics of academic research, how to find a suitable research topic and how to source the relevant literature.

Difference #2 – It’s a long project, and you’re on your own.

A dissertation is a long journey, at least compared to assignments. Typically, you will spend 3 – 6 months writing around 15,000 – 25,000 words (for Masters-level, much more for PhD) on just one subject. Therefore, successfully completing your dissertation requires a substantial amount of stamina .

To make it even more challenging, your classmates will not be researching the same thing as you are, so you have limited support, other than your supervisor (who may be very busy). This can make it quite a lonely journey . Therefore, you need a lot of self-discipline and self-direction in order to see it through to the end. You should also try to build a support network of people who can help you through the process (perhaps alumni, faculty or a private coach ).

Difference #3 – They’re testing research skills.

We touched on this earlier. Unlike assignments or essays, where the markers are assessing your ability to understand and apply the theories, models and frameworks that they provide you with, your dissertation will be is assessing your ability to undertake high-quality research in an academically rigorous manner.

Of course, your ability to understand the relevant theory (i.e. within your literature review) is still very important, but this is only one piece of the research skills puzzle. You need to demonstrate the full spectrum of research skills.

It’s important to note that your research does not need to be ground-breaking, revolutionary or world-changing – that is not what the markers are assessing. They are assessing whether you can apply well-established research principles and skills to a worthwhile topic of enquiry. Don’t feel like you need to solve the world’s major problems. It’s simply not going to happen (you’re a first-time researcher, after all) – and doesn’t need to happen in order to earn good marks.

Difference #4 – Your focus needs to be narrow and deep.

In your assignments, you were likely encouraged to take a broad, interconnected, high-level view of the theory and connect as many different ideas and concepts as possible. In your dissertation, however, you typically need to narrow your focus and go deep into one particular topic. Think about the research question we looked at earlier:

The focus is intentionally very narrow – specifically the focus is on:

• The UK only – no other countries are being considered.
• Life insurance brokers only – not financial services, not vehicle insurance, not medical insurance, etc.
• Customer trust only – not reputation, not customer loyalty, not employee trust, supplier trust, etc.

By keeping the focus narrow, you enable yourself to deeply probe whichever topic you choose – and this depth is essential for earning good marks. Importantly, ringfencing your focus doesn’t mean ignoring the connections to other topics – you should still acknowledge all the linkages, but don’t get distracted – stay focused on the research question(s).

So, as you can see, a dissertation is more than just an extended assignment or essay. It’s a unique research project that you (and only you) must lead from start to finish. The good news is that, if done right, completing your dissertation will equip you with strong research skills, which you will most certainly use in the future, regardless of whether you follow an academic or professional path.

Wrapping up

Hopefully in this post, I’ve answered your key question, “what is a dissertation?”, at least at a big picture-level. To recap on the key points:

• A dissertation is simply a structured research project .
• It’s useful to view a dissertation as a process involving asking a question, undertaking research and then answering that question.
• First and foremost, your marker(s) will be assessing your research skills , so its essential that you focus on producing a rigorous, academically sound piece of work (as opposed to changing the world or making a scientific breakthrough).
• While there are similarities, a dissertation is different from assignments and essays in multiple ways. It’s important to understand these differences if you want to produce a quality dissertation.

In this post, I’ve gently touched on some of the intricacies of the dissertation, including research questions, data types and research methodologies. Be sure to check out the Grad Coach Blog  for more detailed discussion of these areas.

36 Comments

Hello Derek

Yes, I struggle with literature review and am highly frustrated (with myself).

Thank you for the guide that you have sent, especially the apps. I am working through the guide and busy with the implementation of it.

Hope to hear from you again!

Regards Micheal

Great to hear that, Michael. All the best with your research!

Very useful and clear information.

Thank you. That was quite something to move forward with. Despite the fact that I was lost. I will now be able to do something with the information given.

That’s great, Pheladi. Good luck!

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Home > Blog > Tips for Online Students > Dissertation vs Thesis: The Differences that Matter

Tips for Online Students , Tips for Students

Dissertation vs Thesis: The Differences that Matter

Updated: June 19, 2024

Published: April 26, 2020

As a graduate student, you will have many different types of challenging coursework and assignments. However, the biggest project that you’ll work on when earning your master’s or doctoral degree will be your thesis or dissertation . The differences between a dissertation vs thesis are plenty. That’s because each of these pieces of writing happen at different times in one’s educational journey.

Let’s break down what a dissertation and thesis are so that you have a strong handle on what’s expected. For both a thesis and a dissertation, there is an obvious fluency and understanding of the subject one studies.

Let’s take a look at their similarities and differences.

Photo by  Glenn Carstens-Peters  on  Unsplash

What is a dissertation.

When you enter a doctoral program to earn a PhD, you will learn a lot about how to conduct your own research. At the culmination of your degree program, you’ll produce a dissertation.

A dissertation is a lengthy piece of written work that includes original research or expanded research on a new or existing topic. As the doctoral student, you get to choose what you want to explore and write about within your field of study.

What is a Thesis?

A thesis is also a scholarly piece of writing, but it is for those who are graduating from a master’s program. A thesis allows students to showcase their knowledge and expertise within the subject matter they have been studying.

Main Differences Between a Thesis vs. Dissertation

The biggest difference between a thesis and a dissertation is that a thesis is based on existing research.

On the other hand, a dissertation will more than likely require the doctoral student to conduct their own research and then perform analysis. The other big difference is that a thesis is for master’s students and the dissertation is for PhD students.

Structural Differences Between a Thesis and a Dissertation

Structurally, the two pieces of written analysis have many differences.

• A thesis is at least 100 pages in length
• A dissertation is 2-3x that in length
• A thesis expands upon and analyzes existing research
• A dissertation’s content is mostly attributed to the student as the author

Research Content and Oral Presentation

Once completed, some programs require students to orally present their thesis and dissertation to a panel of faculty members.

Typically, a dissertation oral presentation can take several hours. On the other hand, a thesis only takes about an hour to present and answer questions.

Let’s look at how the two scholarly works are similar and different:

Similarities:

• Each is considered a final project and required to graduate
• Both require immense understanding of the material
• Written skills are key to complete both
• Neither can be plagiarized
• Both are used to defend an argument
• Both require analytical skills
• You will have to draft, rewrite, and edit both pieces of writing
• For both, it is useful to have another person look over before submission
• Both papers are given deadlines

Differences:

• A dissertation is longer than a thesis
• A dissertation requires new research
• A dissertation requires a hypothesis that is then proven
• A thesis chooses a stance on an existing idea and defends it with analysis
• A dissertation has a longer oral presentation component

The Differences in Context: Location Matters

The united states.

In the US, everything that was previously listed is how schools differentiate between a thesis and a dissertation. A thesis is performed by master’s students, and a dissertation is written by PhD candidates.

In Europe, the distinction between a thesis and dissertation becomes a little more cloudy. That’s because PhD programs may require a doctoral thesis to graduate. Then, as a part of a broader post-graduate research project, students may complete a dissertation.

Photo by  Russ Ward  on  Unsplash

The purpose behind written research.

Each piece of writing is an opportunity for a student to demonstrate his or her ability to think critically, express their opinions in writing, and present their findings in front of their department.

Graduate degrees take a lot of time, energy, and hard work to complete. When it comes to writing such lengthy and informative pieces, there is a lot of time management that is involved. The purpose of both a thesis and a dissertation are written proof that you understand and have mastered the subject matter of your degree.

Degree Types

A doctoral degree, or PhD, is the highest degree that one can earn. In most cases, students follow the following path to achieve this level of education: Earn a bachelor’s degree, then a master’s, and then a PhD. While not every job title requires this deep educational knowledge, the salaries that come along with each level of higher education increase accordingly.

Earning Your Degree

Whether you are currently a prospective student considering earning your higher education degree or a student enrolled in a master’s or doctoral program, you know the benefits of education.

However, for some, earning a traditional degree on-campus doesn’t make sense. This could be because of the financial challenges, familial obligations, accessibility, or any other number of reasons.

For students who are seeking their higher education degrees but need a flexible, affordable, and quality alternative to traditional college, take a look at the programs that the University of the People has to offer.

University of the People is an entirely online, US accredited and tuition-free institution dedicated to higher education. You can earn your Master’s in Business Administration or your Master’s in Education . Not to mention, there are a handful of associate’s and bachelor’s degree programs to choose from as well.

If you want to learn more, get in touch with us !

The Bottom Line

Regardless of where and when you earn your master’s or doctoral degree, you will likely have to complete a thesis or dissertation. The main difference between a thesis and dissertation is the level at which you complete them. A thesis is for a master’s degree, and a dissertation is for a doctoral degree.

Don’t be overwhelmed by the prospect of having to research and write so much. Your educational journey has prepared you with the right time management skills and writing skills to make this feat achievable!

In this article

At UoPeople, our blog writers are thinkers, researchers, and experts dedicated to curating articles relevant to our mission: making higher education accessible to everyone. Read More

In this section

• Graduate Program-Specific Contacts
• Doctoral Dissertation Policies and Procedures
• Master’s Thesis Policies and Procedures
• Thesis and Dissertation Release and Embargo Options

Thesis and Dissertation Formatting Guidelines & Deep Blue Archiving

• Graduate Studies Forms
• Three Minute Thesis Competition
• Graduate Student Appreciation Week

The purpose of these Formatting Guidelines is to make all dissertations and theses legible, accessible, preservable, and uniform in presentation. The steps you take now to format your dissertation and thesis will improve the file for future readers.

See The Mardigian Library’s  Formatting Your Thesis or Dissertation with Microsoft Word  for video tutorials designed to help you get most of the formatting of your thesis correct the first time. It is recommended that you use the dissertation/thesis template available in this guide which has most of the guidelines already incorporated.

For questions about formatting beyond what is covered in these resources, please check with your dissertation or thesis advisor.

File Format

• Submit the dissertation or thesis as a PDF file

Structure/Accessibility

Techniques for creating accessible documents, including adding alternative text for images, can be found on this  website.

Set Document Title:  Set the document title (note: this is a document property, not the filename) as your dissertation or thesis title.

Set Document Language

Set the Language of Parts (Quotations, Sections) That Are Different from the Main Language (required if applicable)

Use Correct Headings:  Use appropriate heading levels for section and subsection titles. Use “Heading 1” for main section titles (e.g. a Chapter), “Heading 2” for subsection titles (e.g. a Chapter section), and so on.

Create Lists, Columns, and Other Structures by Using the Appropriate Structural Element.  Do not use space bar, tab, or enter to arrange text in apparent tables, lists, or columns.

Images, Figures, Tables, Media

• Include descriptive alt text for all images and figures to convey the meaning and context of a visual item in a digital setting (do not use images of tables.)
• Use at least 2-inch top margin on the Title Page.
• Use 2-inch top margin on the first page of every chapter and major section (Acknowledgements, List of Figures, Bibliography, etc.…)
• Use at least 1-inch margins (top, bottom, left, right) on all pages. 

Text, Fonts, Color, Spacing

• Use a legible font, size 12 point, black color for all body text. Recommended fonts include Times or Times New Roman (serif fonts) or Arial (sans-serif font). Images and text within images may be in color.
• Headings may be visually different than body text (bigger, bold) and no bigger than size 16 point.
• Font size for footnotes, endnotes, captions, tables, figures, and equations may be smaller than the body text and no less than 9 point.
• Text in the Front Matter that links to a location within the dissertation or thesis (from the Table of Contents, for example) should not be underlined or outlined as hyperlinks.
• Use embedded fonts to ensure all font information in your document is secured in your PDF.
• Use either 1.5-line or double-line spacing throughout for all body text. 
• Use single-line spacing for text in tables, lists, footnotes/endnotes, figure/table legends/captions, and bibliographic entries (with a blank line between each citation or entry). 

Numbering and Page Numbering

• Number chapters consecutively and name them as follows: Chapter [#] [Title of Chapter]. For example, Chapter 1 Introduction. 
• Include the chapter number and name as a heading on the first page of chapter and in the Table of Contents.
• Number all tables, figures, appendices, etc. consecutively and name them as follows: Table [#] [Caption/Title/Legend]. 
• Tables, Figures, etc. may be numbered simply using whole numbers throughout the document (Figure 1, Figure 2, Figure 3) or by combining the chapter number and table, figure, etc. number per chapter (Figure 2.1, Figure 2.2, Figure 3.1). Choose one system from an appropriate style guide and use it consistently.
• Include a List of Figures, List of Tables, etc. in the front matter if the dissertation or thesis includes more than one figure, table, illustration, appendix, etc. (required if applicable)
• List of Figures (or List of Tables, List of Illustrations, List of Appendices, etc.) includes the title of each, its caption/title/legend, and page number on which it begins.
• Include page numbers in the front matter, centered in the footer, using lowercase Roman numerals, beginning on page ii (the first page after the Identifier/Copyright page).
• Include page numbers in the dissertation text and following sections, centered in the footer, using Arabic numerals, beginning on page 1.

Components of the Dissertation and Thesis

Include the following components, in the following order. All required components must be included.

Use the page numbering conventions given below. Every section below starts on a new page with 2-inch top margin.

Title Page (required)

No page number. No page count.

• See the section below for details of component requirements.

Frontispiece (Illustration or Epigraph) (optional)

Identifier/Copyright Page (required)

• No page number. Start page count here.
• See section below for details of component requirements.

Dedication (optional)

• Page numbers required. Start lowercase Roman numerals (starting with ii) here.
• Acknowledgments (optional)

Page numbers required. Lowercase Roman numerals.

Preface (optional)

Table of Contents (required)

List of Tables, List of Figures, etc. (required if applicable)

• List of Tables required if there is more than one table, etc.

List of Illustrations/Photos (required if applicable)

List of Appendices (required if applicable)

List of Abbreviations, List of Acronyms, List of Symbols (optional)

Abstract (required)

Dissertation or Thesis Text (required)

• Page numbers required. Start Arabic numerals here.
• Appendices (optional)

Bibliography or Reference section(s). (required)

Page numbers required. Arabic numerals. Insert at the end of each chapter, or the end of the dissertation/thesis, in the format preferred by the discipline.

Title Page Components

Include the following components on the title page, in the following order. Begin each item on a new line.

• At least 2 inch top margin on Title Page. 
• Complete dissertation  or master’s thesis title, centered, and capitalized in title case. 
• Your author name should match your legal name or preferred name in Wolverine Access
• You may use initial(s) for middle name(s).
• The following text, including line breaks, centered and single line-spaced. 

A dissertation (thesis) submitted in partial fulfillment of the requirements for the degree of Name of Degree (Name of Program) in The University of Michigan-Dearborn YEAR

• The text, “Doctoral Committee  or Master’s Thesis Committee:” left justified. 
• List chair or co-chairs first (in alphabetical order by surname if more than one) with “Chair” or “Co-Chair” after their titles and names.
• List other committee members in alphabetical order, by last name.
• Professor rank (e.g., Professor, Associate Professor, Assistant Professor, Emeritus Professor) or title (e.g., Dr.)
• Complete full name
• Affiliation, if not affiliated with University of Michigan (e.g., name of university, college, corporation, or organization)

Identifier/Copyright Page Components

Include the following components on the identifier/copyright page, in the following order. Begin each item on a new line, centered.

• Your full legal name (Required)
• Your @umich.edu email address (Required)
• Your ORCID iD (required only for PhD candidates)

ORCID iD is a unique digital identifier that you control and that distinguishes you from other researchers.

• ORCID iD profile URL (Recommended)
• Copyright notice. (Recommended)

Copyright notice notifies readers that you hold the copyright to this work and when it was established.

Use the following format: © Full Name YEAR

Final Formatting Checks

Before submission, double-check the following:

• All numbered series (pages, chapters, tables, figures, etc.) are consistently formatted and consecutive throughout the document.
• All entries in the table of contents and lists match contents as titled/ordered in the dissertation text.
• References/Bibliography entries are complete and match the formatting preference of your discipline.

Thesis or Dissertation Embargo

The thesis or dissertation is submitted as public evidence of your scholarly research and accomplishment. A thesis or dissertation and abstract is normally made publicly available upon degree conferral when it is deposited electronically in Deep Blue. If a student wishes to postpone public release of the final product, also called an embargo, the student should discuss this option with his or her faculty advisor. It has always been the university's expectation that every dissertation and abstract will be released upon conferral of the degree. Only in specific circumstances may release of a thesis or dissertation be deferred, and then only for a limited period of time. The student is responsible for requesting an embargo.

Embargo forms can be found at:  "Thesis and Dissertation Release and Embargo Options”

Deep Blue Archiving 

Required for doctoral dissertations and highly recommended for Master’s Thesis. The final pdf document of your dissertation or thesis must be submitted electronically to the Mardigian Library. This digital PDF will be the copy of record and will be archived in  Deep Blue . Deep Blue is a digital repository that is part of the University of Michigan Library. 

To submit your document, you need to provide:

• Your ORCID iD  
• Keywords that describe the subject, concepts, theories, and methods used in your document, to help others find and retrieve your document
• A copy of your thesis or dissertation in PDF format
• Optional – up to two supplementary files (no larger than 50 MB each), such as an audio file, spreadsheet, or a software program

To maintain the usability and appearance of your document, please review the  Best Practices for Producing High Quality PDF Files , available on Deep Blue.

If you have supplemental materials (such as data) that should also be made publicly available and associated with your dissertation or thesis, consider reaching out to  [email protected]  for help determining whether these should be deposited into one of the Deep Blue repositories.

Once your document is submitted to Deep Blue by the library, you will receive an email containing the DOI and a URL to access the document. It will also be added to the Mardigian Library catalog and made available on Google Scholar. If no embargo is requested, it may take three to four weeks for your document to become available.

Submit Final Thesis/Dissertation to Deep Blue

More support.

• Library Guide to  Formatting Your Thesis or Dissertation with Microsoft Word  and Video Tutorials.
• UM IT accessibility guide for  creating accessible documents .
• Guide for  embedding all fonts in PDFs generated with LaTeX or PDFLaTeX .

Contact your  subject librarian  for assistance on a wide range of topics including literature searching, citation management, and much more.

Download the Formatting Checklist

Office of graduate studies.

Best 9 Differences Between Thesis And Dissertation

You’ve probably heard people mention a “thesis” and a “dissertation” when talking about advanced studies, but what do these terms actually mean? While they are both involved in doing research and writing, they are not the same thing. A thesis is commonly written for a master’s degree, but a dissertation is required for a doctorate. Knowing the differences between them can help you understand what each one is all about and what’s expected of you.

In this article, we’ll explain what makes a thesis different from a dissertation. We’ll look at their main purposes, how they are structured, and what kind of work they involve. Whether you’re thinking about graduate school or already studying, this guide will help you understand what each of these research projects entails so you can plan your academic path more confidently. Thesis and Dissertation and different according to the country. For example, In the Philippines, the terms “dissertation” and “thesis” are used to describe different types of academic research projects required for various degrees.

What is a Thesis?

Table of Contents

A thesis is a detailed study document that students write to complete their master’s degree. It involves studying a specific topic in detail within their field, showing they can gather, analyze, and present information clearly and logically. A thesis is a chance for students to prove their knowledge, research skills, and ability to contribute meaningfully to their subject area.

Purpose of a Thesis in a Master’s Degree Program

The main goal of a thesis in a master’s program is to let students dive deep into a particular topic and add something valuable to their field of study. By writing a thesis, students develop important skills like critical thinking, thorough research, and academic writing. It serves as a final project that demonstrates their understanding of the subject and prepares them for the next steps, whether that’s further study or starting a career.

Writing a thesis also shows that a student can conduct independent research. It involves coming up with a research question, designing a study to answer it, analyzing the results, and drawing conclusions. Completing a thesis successfully can open doors to further education, like pursuing a Ph.D., or help in building a strong professional profile by showing a high level of expertise and commitment.

What is a Dissertation?

A dissertation is a big research project that you need to complete to get a Ph.D. Unlike regular papers, a dissertation is much more detailed and involves years of work. It’s all about exploring a unique question or problem that hasn’t been fully studied before and adding new knowledge to your field. Doing a dissertation shows that you can handle complex research, analyze your findings, and explain them clearly. It’s the final test of your expertise and research skills.

Role of a Dissertation in a Doctoral Program

In a Ph.D. program, your dissertation is very important for several reasons:

• Showing Original Research : The main goal of your dissertation is to prove that you can do original research on your own. This means picking a unique question, designing and carrying out a study, and figuring out what the results mean. Your dissertation should offer something new to your field and help expand what’s known about your topic.
• Becoming an Expert : Completing a dissertation shows that you are an expert in your field. It demands a deep understanding of your subject, great research skills, and the ability to think critically about existing knowledge. Successfully defending your dissertation in front of a panel of experts confirms your expertise and knowledge.
• Developing Important Skills : Writing a dissertation helps you develop valuable skills that are useful in both academic and professional settings. These abilities include critical thinking, problem-solving, data analysis , and effective communication. Finishing your dissertation can open up more opportunities for further research or advanced roles in various fields.
• Fulfilling Graduation Requirements : The dissertation is a key part of earning your Ph.D. It’s the final requirement you need to complete your doctoral studies and graduate. Successfully finishing and defending your dissertation is necessary to receive your degree.

The Difference Between Thesis and Dissertation

Dissertation vs Thesis: What’s the Difference in the USA?

In the U.S., “dissertation” and “thesis” refer to different research projects needed for various degrees. Here’s a straightforward comparison:

1. Degree Level

• Thesis : Required for a master’s degree. It’s a big research project that shows you understand your field and can work on your own.
• Dissertation : Needed for a Ph.D. or other doctoral degrees. It’s a more detailed and original research project that should make a significant impact in your field.

2. Purpose and Scope

• Thesis : You need to research and apply what you’ve learned to a specific topic. This usually means looking at existing studies and answering a focused question.
• Dissertation : You must create new knowledge or insights. This involves original research that brings new findings or challenges current ideas. It’s more extensive and detailed.

3. Length and Complexity

• Thesis : Usually 50 to 100 pages long. It’s detailed but not as complex, focusing on a narrower topic.
• Dissertation : Often over 200 pages long. It’s more complex and covers a broader and deeper topic.

4. Research Contribution

• Thesis : This involves analyzing existing research or theories. It doesn’t need to be groundbreaking but should demonstrate strong research skills.
• Dissertation : Requires original research that adds new knowledge. This might mean collecting new data or developing new theories.

5. Supervision and Guidance

• Thesis : You work closely with an advisor who provides regular feedback and helps you stay on track. The process is more structured and involves frequent check-ins.
• Dissertation : You’re guided by a committee of experts. You work more independently, with less frequent but more intensive feedback.
• Thesis : Include a simpler presentation or review. It’s generally less formal compared to a dissertation defense.
• Dissertation : Requires a formal defense where you present your research in detail and answer questions from a committee.

7. Approval Process

• Thesis : Needs to be reviewed and approved by your advisor and sometimes a committee, depending on your school’s rules.
• Dissertation : Must be approved by a committee of faculty members and undergo a more thorough review process before you get your doctoral degree.

In short, a thesis is a major project for a master’s degree, showing your ability to research a specific topic. A dissertation is a larger, original research project for a doctoral degree aimed at contributing new knowledge to your field.

Misconceptions About Thesis and Dissertation

There are several common myths about theses and dissertations that need to be clarified. Here’s a simple explanation of what’s true and what’s not:

1. Thesis and Dissertation Are the Same

Truth : A thesis and a dissertation are different. A thesis is for a master’s degree and involves research on a specific topic. A dissertation is for a Ph.D. and requires original research that should make a big impact in your field.

2. A Thesis Is Less Important Than a Dissertation

Truth : Both are important but for different reasons. A thesis shows you can do research at the master’s level, while a dissertation shows you can make a significant contribution at the doctoral level. Each is valuable in its way.

3. A Thesis Is Easier Than a Dissertation

Truth : A thesis might be shorter and less complex, but it still requires a lot of work. A dissertation is longer and involves more original research, but both need a lot of effort and dedication.

4. A Thesis Cannot Be Published

Truth : You can publish a thesis. Many students turn their thesis into journal articles or books. The length doesn’t limit its potential; what matters is the quality of the research.

5. Thesis and Dissertation Defenses Are the Same

Truth : Defending a thesis is usually less formal than defending a dissertation. A thesis defense might be a presentation to your advisor or a small committee. In contrast, a dissertation defense is more formal, with a detailed presentation and lots of questions from a committee.

6. Writing a Thesis or Dissertation Is a Solo Job

Truth : You don’t do it alone. Advisors or committees provide guidance and feedback. Their input is crucial for producing good research.

7. Only Writing Matters

Truth : Writing is just one part. You also need to do thorough research, analyze data, and review existing studies. The quality of your research is what really counts.

8. Approval Processes Are the Same

Truth : Getting approval for a thesis and a dissertation can be different. A thesis might need approval from your advisor and a small committee, while a dissertation usually requires a more detailed review and a formal defense.

9. Work Is Only Relevant to Academia

Truth : Research from both theses and dissertations can have real-world uses. It can affect industry practices, help with public policy, or solve practical problems, making a difference beyond just academic circles.

Understanding these differences helps you know what to expect and how to approach each type of project. In the Philippines, understanding these distinctions helps students navigate their academic requirements effectively and prepares them for the expectations of their respective degree programs.

Final words

Grasping the difference between a thesis and a dissertation is key to navigating your academic journey, especially in the Philippines. Here’s a straightforward look at each:

A thesis is something you typically write for a master’s degree. It involves researching a specific topic and showing that you can dive deep into it and understand it well. A dissertation, on the other hand, is for a doctoral degree. It’s a much larger project that requires original research and aims to add something new to your field.

Both a thesis and a dissertation require thorough research, lots of writing, and a formal defense. However, a thesis is usually more focused, while a dissertation covers a broader range and aims to make a bigger impact.

Understanding these differences helps you prepare better for either project. Both represent important milestones in your academic and professional growth in the Philippines.

There are lots of students who are searching for the best business dissertation help in the Philippines and many other countries; if you are one of them, feel free to contact our experts now.

FAQs About Thesis and Dissertation

How long are theses compared to dissertations.

A thesis is usually shorter, often between 80 and 120 pages, depending on your field and school requirements. A dissertation is generally much longer, frequently more than 200 pages, because it covers a broader scope and involves deeper research.

Do you need to defend both a thesis and a dissertation?

Yes, both require a defense, but they are different. A thesis defense is usually less formal, where you present your work to a small committee or your advisor. A dissertation defense is more formal and involves a detailed presentation and lots of questions from a committee of experts.

Who helps you with a thesis or dissertation?

For a thesis, you usually work with an advisor or mentor. For a dissertation, you work with a committee of faculty members. Both will guide you, provide feedback, and make sure your research meets academic standards .

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• What Is a Thesis? | Ultimate Guide & Examples

What Is a Thesis? | Ultimate Guide & Examples

Published on September 14, 2022 by Tegan George . Revised on April 16, 2024.

A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master’s program or a capstone to a bachelor’s degree.

Writing a thesis can be a daunting experience. Other than a dissertation , it is one of the longest pieces of writing students typically complete. It relies on your ability to conduct research from start to finish: choosing a relevant topic , crafting a proposal , designing your research , collecting data , developing a robust analysis, drawing strong conclusions , and writing concisely .

Thesis template

You can also download our full thesis template in the format of your choice below. Our template includes a ready-made table of contents , as well as guidance for what each chapter should include. It’s easy to make it your own, and can help you get started.

Download Word template Download Google Docs template

Instantly correct all language mistakes in your text

Upload your document to correct all your mistakes in minutes

Table of contents

Thesis vs. thesis statement, how to structure a thesis, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your thesis, other interesting articles, frequently asked questions about theses.

You may have heard the word thesis as a standalone term or as a component of academic writing called a thesis statement . Keep in mind that these are two very different things.

• A thesis statement is a very common component of an essay, particularly in the humanities. It usually comprises 1 or 2 sentences in the introduction of your essay , and should clearly and concisely summarize the central points of your academic essay .
• A thesis is a long-form piece of academic writing, often taking more than a full semester to complete. It is generally a degree requirement for Master’s programs, and is also sometimes required to complete a bachelor’s degree in liberal arts colleges.
• In the US, a dissertation is generally written as a final step toward obtaining a PhD.
• In other countries (particularly the UK), a dissertation is generally written at the bachelor’s or master’s level.

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The final structure of your thesis depends on a variety of components, such as:

• Your discipline
• Your theoretical approach

Humanities theses are often structured more like a longer-form essay . Just like in an essay, you build an argument to support a central thesis.

In both hard and social sciences, theses typically include an introduction , literature review , methodology section ,  results section , discussion section , and conclusion section . These are each presented in their own dedicated section or chapter. In some cases, you might want to add an appendix .

Thesis examples

We’ve compiled a short list of thesis examples to help you get started.

• Example thesis #1:   “Abolition, Africans, and Abstraction: the Influence of the ‘Noble Savage’ on British and French Antislavery Thought, 1787-1807” by Suchait Kahlon.
• Example thesis #2: “’A Starving Man Helping Another Starving Man’: UNRRA, India, and the Genesis of Global Relief, 1943-1947″ by Julian Saint Reiman.

The very first page of your thesis contains all necessary identifying information, including:

• Your full title
• Your full name
• Your department
• Your institution and degree program
• Your submission date.

Sometimes the title page also includes your student ID, the name of your supervisor, or the university’s logo. Check out your university’s guidelines if you’re not sure.

Read more about title pages

The acknowledgements section is usually optional. Its main point is to allow you to thank everyone who helped you in your thesis journey, such as supervisors, friends, or family. You can also choose to write a preface , but it’s typically one or the other, not both.

Read more about acknowledgements Read more about prefaces

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An abstract is a short summary of your thesis. Usually a maximum of 300 words long, it’s should include brief descriptions of your research objectives , methods, results, and conclusions. Though it may seem short, it introduces your work to your audience, serving as a first impression of your thesis.

Read more about abstracts

A table of contents lists all of your sections, plus their corresponding page numbers and subheadings if you have them. This helps your reader seamlessly navigate your document.

Your table of contents should include all the major parts of your thesis. In particular, don’t forget the the appendices. If you used heading styles, it’s easy to generate an automatic table Microsoft Word.

Read more about tables of contents

While not mandatory, if you used a lot of tables and/or figures, it’s nice to include a list of them to help guide your reader. It’s also easy to generate one of these in Word: just use the “Insert Caption” feature.

Read more about lists of figures and tables

If you have used a lot of industry- or field-specific abbreviations in your thesis, you should include them in an alphabetized list of abbreviations . This way, your readers can easily look up any meanings they aren’t familiar with.

Read more about lists of abbreviations

Relatedly, if you find yourself using a lot of very specialized or field-specific terms that may not be familiar to your reader, consider including a glossary . Alphabetize the terms you want to include with a brief definition.

Read more about glossaries

An introduction sets up the topic, purpose, and relevance of your thesis, as well as expectations for your reader. This should:

• Ground your research topic , sharing any background information your reader may need
• Define the scope of your work
• Introduce any existing research on your topic, situating your work within a broader problem or debate
• State your research question(s)
• Outline (briefly) how the remainder of your work will proceed

In other words, your introduction should clearly and concisely show your reader the “what, why, and how” of your research.

Read more about introductions

A literature review helps you gain a robust understanding of any extant academic work on your topic, encompassing:

• Selecting relevant sources
• Determining the credibility of your sources
• Critically evaluating each of your sources
• Drawing connections between sources, including any themes, patterns, conflicts, or gaps

A literature review is not merely a summary of existing work. Rather, your literature review should ultimately lead to a clear justification for your own research, perhaps via:

• Addressing a gap in the literature
• Building on existing knowledge to draw new conclusions
• Exploring a new theoretical or methodological approach
• Introducing a new solution to an unresolved problem
• Definitively advocating for one side of a theoretical debate

Read more about literature reviews

Theoretical framework

Your literature review can often form the basis for your theoretical framework, but these are not the same thing. A theoretical framework defines and analyzes the concepts and theories that your research hinges on.

Read more about theoretical frameworks

Your methodology chapter shows your reader how you conducted your research. It should be written clearly and methodically, easily allowing your reader to critically assess the credibility of your argument. Furthermore, your methods section should convince your reader that your method was the best way to answer your research question.

A methodology section should generally include:

• Your overall approach ( quantitative vs. qualitative )
• Your research methods (e.g., a longitudinal study )
• Your data collection methods (e.g., interviews or a controlled experiment
• Any tools or materials you used (e.g., computer software)
• The data analysis methods you chose (e.g., statistical analysis , discourse analysis )
• A strong, but not defensive justification of your methods

Read more about methodology sections

Your results section should highlight what your methodology discovered. These two sections work in tandem, but shouldn’t repeat each other. While your results section can include hypotheses or themes, don’t include any speculation or new arguments here.

Your results section should:

• State each (relevant) result with any (relevant) descriptive statistics (e.g., mean , standard deviation ) and inferential statistics (e.g., test statistics , p values )
• Explain how each result relates to the research question
• Determine whether the hypothesis was supported

Additional data (like raw numbers or interview transcripts ) can be included as an appendix . You can include tables and figures, but only if they help the reader better understand your results.

Read more about results sections

Your discussion section is where you can interpret your results in detail. Did they meet your expectations? How well do they fit within the framework that you built? You can refer back to any relevant source material to situate your results within your field, but leave most of that analysis in your literature review.

For any unexpected results, offer explanations or alternative interpretations of your data.

Read more about discussion sections

Your thesis conclusion should concisely answer your main research question. It should leave your reader with an ultra-clear understanding of your central argument, and emphasize what your research specifically has contributed to your field.

Why does your research matter? What recommendations for future research do you have? Lastly, wrap up your work with any concluding remarks.

Read more about conclusions

In order to avoid plagiarism , don’t forget to include a full reference list at the end of your thesis, citing the sources that you used. Choose one citation style and follow it consistently throughout your thesis, taking note of the formatting requirements of each style.

Which style you choose is often set by your department or your field, but common styles include MLA , Chicago , and APA.

Create APA citations Create MLA citations

In order to stay clear and concise, your thesis should include the most essential information needed to answer your research question. However, chances are you have many contributing documents, like interview transcripts or survey questions . These can be added as appendices , to save space in the main body.

Read more about appendices

Once you’re done writing, the next part of your editing process begins. Leave plenty of time for proofreading and editing prior to submission. Nothing looks worse than grammar mistakes or sloppy spelling errors!

Consider using a professional thesis editing service or grammar checker to make sure your final project is perfect.

Once you’ve submitted your final product, it’s common practice to have a thesis defense, an oral component of your finished work. This is scheduled by your advisor or committee, and usually entails a presentation and Q&A session.

After your defense , your committee will meet to determine if you deserve any departmental honors or accolades. However, keep in mind that defenses are usually just a formality. If there are any serious issues with your work, these should be resolved with your advisor way before a defense.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

• Survivorship bias
• Self-serving bias
• Availability heuristic
• Halo effect
• Hindsight bias
• Deep learning
• Generative AI
• Machine learning
• Reinforcement learning
• Supervised vs. unsupervised learning

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The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.

If you only used a few abbreviations in your thesis or dissertation , you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimizing confusion about abbreviations unfamiliar to your reader.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

A thesis is typically written by students finishing up a bachelor’s or Master’s degree. Some educational institutions, particularly in the liberal arts, have mandatory theses, but they are often not mandatory to graduate from bachelor’s degrees. It is more common for a thesis to be a graduation requirement from a Master’s degree.

Even if not mandatory, you may want to consider writing a thesis if you:

• Plan to attend graduate school soon
• Have a particular topic you’d like to study more in-depth
• Are considering a career in research
• Would like a capstone experience to tie up your academic experience

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ELIAMEP Thesis 5/2010: Seasonal migration and how to regulate it

Συγγραφέας: Καθ. Άννα Τριανταφυλλίδου

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Thesis Defense Presented By Heng Elizabeth Zuo [Ultrafast Laser Micromachining For Correction Of Thin Optics For Next Generation X-ray Telescopes]

NOTE: Zoom details available upon request

Ultrafast Laser Micromachining for Correction of Thin Optics for Next Generation X-ray Telescopes

Committee: Prof. Paulo Lozano (MIT AeroAstro, Chair), Dr. Mark Schattenburg (MIT Kavli, Thesis Supervisor), Prof. Kerri Cahoy (MIT AeroAstro)

Abstract: “The central theme of this thesis is the development of implementing ultrafast laser micromachining technology to the correction of thin-shell lightweight high-resolution mirrors for future high performance X-ray space telescopes. The existing fabrication methods cannot achieve the required accuracy for individual mirror segments, and the high reflective coatings could distort the mirror figures beyond acceptable tolerance. As mirrors become thinner and more pliant, the need for precise and high throughput figuring methods of thin mirrors becomes more imminent. The main contributions of this thesis is the development of two unique approaches to implement ultrafast laser micromachining technology with stress-based figure correction techniques to correct for figure errors and coating distortions in thin mirrors. Rapid developments of ultrafast laser technologies have enabled high accuracy laser material processing and structuring on micron scales. By using simple optical setups with scanning X-Y stages, I showed that both equibiaxial and general biaxial stress fields can be generated with laser micromachined features in thin mirrors. The influences of various micromachining parameters have been examined to establish the effectiveness of the approach. A multi-pass correction scheme is proposed and demonstrated, where a feedback loop is implemented to induce controlled bending and reduce figure errors repeatedly. In addition, a finite element model is built to simulate the bending and stresses in thin mirrors using the stressed film patterning method with ultrafast laser micromachining, and has achieved comparable results with the experiments. Further, the breaking strengths of the mirrors treated with ultrafast laser micromachining have been evaluated, which demonstrates the proposed approaches as viable methods for processing optics for space applications.”

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