hypothesis in research methodology ppt

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The Craft of Writing a Strong Hypothesis

Table of Contents

Writing a hypothesis is one of the essential elements of a scientific research paper. It needs to be to the point, clearly communicating what your research is trying to accomplish. A blurry, drawn-out, or complexly-structured hypothesis can confuse your readers. Or worse, the editor and peer reviewers.

A captivating hypothesis is not too intricate. This blog will take you through the process so that, by the end of it, you have a better idea of how to convey your research paper's intent in just one sentence.

What is a Hypothesis?

The first step in your scientific endeavor, a hypothesis, is a strong, concise statement that forms the basis of your research. It is not the same as a thesis statement , which is a brief summary of your research paper .

The sole purpose of a hypothesis is to predict your paper's findings, data, and conclusion. It comes from a place of curiosity and intuition . When you write a hypothesis, you're essentially making an educated guess based on scientific prejudices and evidence, which is further proven or disproven through the scientific method.

The reason for undertaking research is to observe a specific phenomenon. A hypothesis, therefore, lays out what the said phenomenon is. And it does so through two variables, an independent and dependent variable.

The independent variable is the cause behind the observation, while the dependent variable is the effect of the cause. A good example of this is “mixing red and blue forms purple.” In this hypothesis, mixing red and blue is the independent variable as you're combining the two colors at your own will. The formation of purple is the dependent variable as, in this case, it is conditional to the independent variable.

Different Types of Hypotheses‌

Types of hypotheses

Some would stand by the notion that there are only two types of hypotheses: a Null hypothesis and an Alternative hypothesis. While that may have some truth to it, it would be better to fully distinguish the most common forms as these terms come up so often, which might leave you out of context.

Apart from Null and Alternative, there are Complex, Simple, Directional, Non-Directional, Statistical, and Associative and casual hypotheses. They don't necessarily have to be exclusive, as one hypothesis can tick many boxes, but knowing the distinctions between them will make it easier for you to construct your own.

1. Null hypothesis

A null hypothesis proposes no relationship between two variables. Denoted by H 0 , it is a negative statement like “Attending physiotherapy sessions does not affect athletes' on-field performance.” Here, the author claims physiotherapy sessions have no effect on on-field performances. Even if there is, it's only a coincidence.

2. Alternative hypothesis

Considered to be the opposite of a null hypothesis, an alternative hypothesis is donated as H1 or Ha. It explicitly states that the dependent variable affects the independent variable. A good  alternative hypothesis example is “Attending physiotherapy sessions improves athletes' on-field performance.” or “Water evaporates at 100 °C. ” The alternative hypothesis further branches into directional and non-directional.

• Directional hypothesis: A hypothesis that states the result would be either positive or negative is called directional hypothesis. It accompanies H1 with either the ‘<' or ‘>' sign.
• Non-directional hypothesis: A non-directional hypothesis only claims an effect on the dependent variable. It does not clarify whether the result would be positive or negative. The sign for a non-directional hypothesis is ‘≠.'

3. Simple hypothesis

A simple hypothesis is a statement made to reflect the relation between exactly two variables. One independent and one dependent. Consider the example, “Smoking is a prominent cause of lung cancer." The dependent variable, lung cancer, is dependent on the independent variable, smoking.

4. Complex hypothesis

In contrast to a simple hypothesis, a complex hypothesis implies the relationship between multiple independent and dependent variables. For instance, “Individuals who eat more fruits tend to have higher immunity, lesser cholesterol, and high metabolism.” The independent variable is eating more fruits, while the dependent variables are higher immunity, lesser cholesterol, and high metabolism.

5. Associative and casual hypothesis

Associative and casual hypotheses don't exhibit how many variables there will be. They define the relationship between the variables. In an associative hypothesis, changing any one variable, dependent or independent, affects others. In a casual hypothesis, the independent variable directly affects the dependent.

6. Empirical hypothesis

Also referred to as the working hypothesis, an empirical hypothesis claims a theory's validation via experiments and observation. This way, the statement appears justifiable and different from a wild guess.

Say, the hypothesis is “Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12.” This is an example of an empirical hypothesis where the researcher  the statement after assessing a group of women who take iron tablets and charting the findings.

7. Statistical hypothesis

The point of a statistical hypothesis is to test an already existing hypothesis by studying a population sample. Hypothesis like “44% of the Indian population belong in the age group of 22-27.” leverage evidence to prove or disprove a particular statement.

Characteristics of a Good Hypothesis

Writing a hypothesis is essential as it can make or break your research for you. That includes your chances of getting published in a journal. So when you're designing one, keep an eye out for these pointers:

• A research hypothesis has to be simple yet clear to look justifiable enough.
• It has to be testable — your research would be rendered pointless if too far-fetched into reality or limited by technology.
• It has to be precise about the results —what you are trying to do and achieve through it should come out in your hypothesis.
• A research hypothesis should be self-explanatory, leaving no doubt in the reader's mind.
• If you are developing a relational hypothesis, you need to include the variables and establish an appropriate relationship among them.
• A hypothesis must keep and reflect the scope for further investigations and experiments.

Separating a Hypothesis from a Prediction

Outside of academia, hypothesis and prediction are often used interchangeably. In research writing, this is not only confusing but also incorrect. And although a hypothesis and prediction are guesses at their core, there are many differences between them.

A hypothesis is an educated guess or even a testable prediction validated through research. It aims to analyze the gathered evidence and facts to define a relationship between variables and put forth a logical explanation behind the nature of events.

Predictions are assumptions or expected outcomes made without any backing evidence. They are more fictionally inclined regardless of where they originate from.

For this reason, a hypothesis holds much more weight than a prediction. It sticks to the scientific method rather than pure guesswork. "Planets revolve around the Sun." is an example of a hypothesis as it is previous knowledge and observed trends. Additionally, we can test it through the scientific method.

Whereas "COVID-19 will be eradicated by 2030." is a prediction. Even though it results from past trends, we can't prove or disprove it. So, the only way this gets validated is to wait and watch if COVID-19 cases end by 2030.

Finally, How to Write a Hypothesis

Quick tips on writing a hypothesis

1.  Be clear about your research question

A hypothesis should instantly address the research question or the problem statement. To do so, you need to ask a question. Understand the constraints of your undertaken research topic and then formulate a simple and topic-centric problem. Only after that can you develop a hypothesis and further test for evidence.

2. Carry out a recce

Once you have your research's foundation laid out, it would be best to conduct preliminary research. Go through previous theories, academic papers, data, and experiments before you start curating your research hypothesis. It will give you an idea of your hypothesis's viability or originality.

Making use of references from relevant research papers helps draft a good research hypothesis. SciSpace Discover offers a repository of over 270 million research papers to browse through and gain a deeper understanding of related studies on a particular topic. Additionally, you can use SciSpace Copilot , your AI research assistant, for reading any lengthy research paper and getting a more summarized context of it. A hypothesis can be formed after evaluating many such summarized research papers. Copilot also offers explanations for theories and equations, explains paper in simplified version, allows you to highlight any text in the paper or clip math equations and tables and provides a deeper, clear understanding of what is being said. This can improve the hypothesis by helping you identify potential research gaps.

3. Create a 3-dimensional hypothesis

Variables are an essential part of any reasonable hypothesis. So, identify your independent and dependent variable(s) and form a correlation between them. The ideal way to do this is to write the hypothetical assumption in the ‘if-then' form. If you use this form, make sure that you state the predefined relationship between the variables.

In another way, you can choose to present your hypothesis as a comparison between two variables. Here, you must specify the difference you expect to observe in the results.

4. Write the first draft

Now that everything is in place, it's time to write your hypothesis. For starters, create the first draft. In this version, write what you expect to find from your research.

Clearly separate your independent and dependent variables and the link between them. Don't fixate on syntax at this stage. The goal is to ensure your hypothesis addresses the issue.

5. Proof your hypothesis

After preparing the first draft of your hypothesis, you need to inspect it thoroughly. It should tick all the boxes, like being concise, straightforward, relevant, and accurate. Your final hypothesis has to be well-structured as well.

Research projects are an exciting and crucial part of being a scholar. And once you have your research question, you need a great hypothesis to begin conducting research. Thus, knowing how to write a hypothesis is very important.

Now that you have a firmer grasp on what a good hypothesis constitutes, the different kinds there are, and what process to follow, you will find it much easier to write your hypothesis, which ultimately helps your research.

Now it's easier than ever to streamline your research workflow with SciSpace Discover . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, write and publish their research and fosters collaboration.

It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and experience.

If you found these tips on writing a research hypothesis useful, head over to our blog on Statistical Hypothesis Testing to learn about the top researchers, papers, and institutions in this domain.

Frequently Asked Questions (FAQs)

1. what is the definition of hypothesis.

According to the Oxford dictionary, a hypothesis is defined as “An idea or explanation of something that is based on a few known facts, but that has not yet been proved to be true or correct”.

2. What is an example of hypothesis?

The hypothesis is a statement that proposes a relationship between two or more variables. An example: "If we increase the number of new users who join our platform by 25%, then we will see an increase in revenue."

3. What is an example of null hypothesis?

A null hypothesis is a statement that there is no relationship between two variables. The null hypothesis is written as H0. The null hypothesis states that there is no effect. For example, if you're studying whether or not a particular type of exercise increases strength, your null hypothesis will be "there is no difference in strength between people who exercise and people who don't."

4. What are the types of research?

• Fundamental research

• Applied research

• Qualitative research

• Quantitative research

• Mixed research

• Exploratory research

• Longitudinal research

• Cross-sectional research

• Field research

• Laboratory research

• Fixed research

• Flexible research

• Action research

• Policy research

• Classification research

• Comparative research

• Causal research

• Inductive research

• Deductive research

5. How to write a hypothesis?

• Your hypothesis should be able to predict the relationship and outcome.

• Avoid wordiness by keeping it simple and brief.

• Your hypothesis should contain observable and testable outcomes.

• Your hypothesis should be relevant to the research question.

6. What are the 2 types of hypothesis?

• Null hypotheses are used to test the claim that "there is no difference between two groups of data".

• Alternative hypotheses test the claim that "there is a difference between two data groups".

7. Difference between research question and research hypothesis?

A research question is a broad, open-ended question you will try to answer through your research. A hypothesis is a statement based on prior research or theory that you expect to be true due to your study. Example - Research question: What are the factors that influence the adoption of the new technology? Research hypothesis: There is a positive relationship between age, education and income level with the adoption of the new technology.

8. What is plural for hypothesis?

The plural of hypothesis is hypotheses. Here's an example of how it would be used in a statement, "Numerous well-considered hypotheses are presented in this part, and they are supported by tables and figures that are well-illustrated."

9. What is the red queen hypothesis?

The red queen hypothesis in evolutionary biology states that species must constantly evolve to avoid extinction because if they don't, they will be outcompeted by other species that are evolving. Leigh Van Valen first proposed it in 1973; since then, it has been tested and substantiated many times.

10. Who is known as the father of null hypothesis?

The father of the null hypothesis is Sir Ronald Fisher. He published a paper in 1925 that introduced the concept of null hypothesis testing, and he was also the first to use the term itself.

11. When to reject null hypothesis?

You need to find a significant difference between your two populations to reject the null hypothesis. You can determine that by running statistical tests such as an independent sample t-test or a dependent sample t-test. You should reject the null hypothesis if the p-value is less than 0.05.

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introduction to research methodology

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According to Mugenda & Mugenda (2010), research is process of carrying out a diligent inquiry or a critical examination of a given phenomenonexhaustive study that follows some logical sequence. Mouly defines research as a process of arriving at effective solutions to problems through systematic collection, analysis and interpretation of data. Research also involves a critical analysis of existing conclusions or theories with regard to newly discovered facts Research is the continued search for knowledge and understanding of the world around us. Clifford Woody argues that research is the process of designing and redefining problems, formulating hypothesis or suggested solutions, collecting, organizing and evaluating data, making deductions and reaching conclusions and carefully testing the conclusions to determine whether they fit the formulated hypothesis.

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RESEARCH HYPOTHESIS - PowerPoint PPT Presentation

RESEARCH HYPOTHESIS

Hypothesis should be testable & should not be a moral judgment. ... for example, roy s adaptation model is used in a research study, ... – powerpoint ppt presentation.

• A hypothesis is a formal tentative statement of the expected relationship between two or more variables under study.
• A hypothesis helps to translate the research problem objectives into a clear explanation or prediction of the expected results or outcomes of the research study.
• A clearly stated hypothesis includes the variables to be manipulated or measured, identifies the population to be examined, indicates the proposed outcome for the study.
• Hypothesis is a tentative prediction or explanation of the relationship between two variables. It implies that there is a systematic relationship between an independent a dependent variable.
• For example, dietary compliance will be greater in diabetic patients receiving diet instruction in small groups than in diabetic patients receiving individualized diet instructions.
• Good Hatt define hypothesis as a shrewd guess or inference that is formulated provisionally adopted to explain observed facts or conditions to guide in further investigation.
• Hypotheses enables the researcher to objectively investigate new areas of discovery. Thus , it provides a powerful tool for the advancement of knowledge.
• Hypotheses provides objectivity to the research activity.
• It also provides directions to conduct research such as defining the sources relevance of data.
• Hypotheses provides clear specific goals to the researchers. These clear specific goals provide the investigator with a basis for selecting sample research procedures to meet these goals.
• Hypotheses provides link between theories actual practical research.
• It provides a bridge between theory reality.
• A hypothesis suggests which type of research is likely to be most appropriate.
• As it is a tentative statement of anticipated results, it guides the researcher towards the direction in which the research should proceed.
• It stimulates the thinking process of researcher as the researcher forms the hypothesis by anticipating the outcome.
• It also determines the most appropriate research designs techniques of data analysis.
• Hypotheses provides understanding to the researchers about what expect from the results of the research study.
• It serves as framework for drawing conclusions of a research study.
• Without hypotheses, research would be like aimless wandering.
• Conceptual clarity
• Hypothesis should consist of clearly defined understandable concepts. It should be stated in very terms, the meaning implication of which cannot be doubted. To facilitate the conceptual clarity, hypothesis can be stated in declarative statement, in present tense.
• Empirical referents
• Research must have an ultimate empirical referent. No usable hypothesis can embody moral judgments. A good hypothesis must have empirical basis from the area of enquiry.
• Objectivity
• Hypothesis must be objective, which facilitates objectivity in data collection keeps the research activity free from researcher value - judgment.
• Specificity
• It should be specific, not general, should explain the expected relations between variables. For example, regular yoga reduces stress.
• The hypothesis should be relevant to the problem being studied as well as the objectives of the study. Hypothesis must have relevance with theory under test in a research process.
• Testability
• Hypothesis should be testable should not be a moral judgment. It must be directly/indirectly observable measurable. The researcher can set up a situation that permits one to assess if it is true or false. It must be verifiable. For example, a statement such as bad partners produce bad children. This sort of hypothesis cannot be tested.
• Consistency
• A hypothesis should be consistent with an existing body of theories, research findings, other hypotheses. It should correspond with existing knowledge.
• A hypothesis should be formulated in simple understandable terms. It should require fewer conditions assumptions.
• Availability of techniques
• The researchers must make sure that methods are available for testing their proposed hypotheses
• Purposiveness
• The researcher must formulate only purposeful hypotheses, which has relevance with research problem objectives.
• Verifiability
• A good hypothesis can be actually verified in practical terms.
• Profundity of effect
• A good hypothesis should have profound effect upon a variety of research variables.
• The expenditure of money the time can be controlled if the hypotheses underlying the research undertaken is good.
• The most important sources of hypotheses are theoretical or conceptual frameworks developed for the study.
• Through a deductive approach these hypotheses are drawn from theoretical or conceptual frameworks for testing them.
• For example, Roys adaptation Model is used in a research study, where a hypothesis can be drawn from a concept of the theoretical mode that patients adaptation to a chronic illness depends on availability of social support for them.
• Findings of the previous studies may be used for framing the hypotheses for another study.
• For example, in a small sample descriptive study, a researcher found that a number of patients admitted with coronary artery disease had increased body mass index.
• In another research study, a researcher may use this finding to formulate a hypothesis as Obese patients have increased risk for development of coronary artery disease.
• Real-life experiences also contribute in the formulation of hypotheses for research studies.
• For example, Newton had a life-changing experience of the falling of an apple formulated a hypothesis that earth attracts all the mass towards its centre, through several researchers were conducted before generating a law of central gravity.
• Academic literature is based on formal theories, empirical evidences, experiences, observation, conceptualizations of academicians.
• These literatures may serve as good sources for formulating hypotheses for research studies.
• Simple hypothesis
• It is a statement which reflects the relationship between two variables.
• For example, the lower the level of hemoglobin, the higher is the risk of infection among postpartum women.
• Complex hypothesis
• It is a statement which reflects the relationship between more than two variables.
• For example, satisfaction is higher among patients who are older dwelling in rural area than those who are younger dwelling in urban area.
• Associative hypothesis
• It reflects a relationship between variables that occurs or exists in natural settings without manipulation.
• This hypothesis is used in correlational research studies
• Causal hypothesis
• It predicts the cause-and-effect relationship between two or more dependent independent variables in experimental or interventional setting, where independent variable is manipulated by research to examine the effect on the dependent variable.
• The causal hypothesis reflects the measurement of dependent variable to examine the effect of dependent variable, which is manipulated by the researcher(s).
• For examples, prevalence of pin site infection is lower in patients who receive pin site care with hydrogen proxidide as compared to patients who receive the pin site care with Betadine solution.
• Directional hypothesis
• It specifies not only the existence, but also the expected direction of the relationship between variables.
• Directional hypothesis states the nature of the relationship between two or more variables such as positive, negative, or no relationship.
• To express the direction of relationship between variables, the directional terms are used to state the hypothesis such as positive, negative, less, more, increased, decreased, greater, higher, lower, etc.
• For examples, there is a positive relationship between years of nursing experience job satisfaction among nurses.
• Nondirectional Hypothesis
• It reflects the relationship between two or more variables, but is does not specify the anticipated direction nature of relationship such as positive or negative.
• It indicates the existence of relationship between the variables.
• For example, there is relationship between years of nursing experience job satisfaction among nurses.
• Null hypothesis (H0)
• It is also known as statistical hypothesis is used for statistical testing interpretation of statistical outcomes.
• It states the existence of no relationship between the independent dependent variables.
• For example, there is no relationship between smoking the incidence of coronary artery disease.
• Research hypothesis (H1)
• It states the existence of relationship between two or more variables.
• For examples, there is relationship between smoking incidence of lung cancer.

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How to Prepare Your Scientific Presentation

Since the dawn of time, humans were eager to find explanations for the world around them. At first, our scientific method was very simplistic and somewhat naive. We observed and reflected. But with the progressive evolution of research methods and thinking paradigms, we arrived into the modern era of enlightenment and science. So what represents the modern scientific method and how can you accurately share and present your research findings to others? These are the two fundamental questions we attempt to answer in this post. 

What is the Scientific Method?

To better understand the concept, let’s start with this scientific method definition from the International Encyclopedia of Human Geography :

The scientific method is a way of conducting research, based on theory construction, the generation of testable hypotheses, their empirical testing, and the revision of theory if the hypothesis is rejected. 

Essentially, a scientific method is a cumulative term, used to describe the process any scientist uses to objectively interpret the world (and specific phenomenon) around them. 

The scientific method is the opposite of beliefs and cognitive biases — mostly irrational, often unconscious, interpretations of different occurrences that we lean on as a mental shortcut. 

The scientific method in research, on the contrary, forces the thinker to holistically assess and test our approaches to interpreting data. So that they could gain consistent and non-arbitrary results. 

The common scientific method examples are:

• Systematic observation 
• Experimentation
• Inductive and deductive reasoning
• Formation and testing of hypotheses and theories

All of the above are used by both scientists and businesses to make better sense of the data and/or phenomenon at hand. 

The Evolution of the Scientific Method 

According to the Stanford Encyclopedia of Philosophy , ancient thinkers such as Plato and Aristotle are believed to be the forefathers of the scientific method. They were among the first to try to justify and refine their thought process using the scientific method experiments and deductive reasoning. 

Both developed specific systems for knowledge acquisition and processing. For example, the Platonic way of knowledge emphasized reasoning as the main method for learning but downplayed the importance of observation. The Aristotelian corpus of knowledge, on the contrary, said that we must carefully observe the natural world to discover its fundamental principles. 

In medieval times, thinkers such as Thomas Aquinas, Roger Bacon, and Andreas Vesalius among many others worked on further clarifying how we can obtain proven knowledge through observation and induction. 

The 16th–18th centuries are believed to have given the greatest advances in terms of scientific method application. We, humans, learned to better interpret the world around us from mechanical, biological, economic, political, and medical perspectives. Thinkers such as Galileo Galilei, Francis Bacon, and their followers also increasingly switched to a tradition of explaining everything through mathematics, geometry, and numbers. 

Up till today, mathematical and mechanical explanations remain the core parts of the scientific method. 

Why is the Scientific Method Important Today? 

Because our ancestors didn’t have as much data as we do. We now live in the era of paramount data accessibility and connectivity, where over 2.5 quintillions of data are produced each day. This has tremendously accelerated knowledge creation.

But, at the same time, such overwhelming exposure to data made us more prone to external influences, biases, and false beliefs. These can jeopardize the objectivity of any research you are conducting. 

Scientific findings need to remain objective, verifiable, accurate, and consistent. Diligent usage of scientific methods in modern business and science helps ensure proper data interpretation, results replication, and undisputable validity. 

6 Steps of the Scientific Method

Over the course of history, the scientific method underwent many interactions. Yet, it still carries some of the integral steps our ancestors used to analyze the world such as observation and inductive reasoning. However, the modern scientific method steps differ a bit. 

1. Make an Observation 

An observation serves as a baseline for your research. There are two important characteristics for a good research observation:

• It must be objective, not subjective. 
• It must be verifiable, meaning others can say it’s true or false with this. 

For example, This apple is red (objective/verifiable observation). This apple is delicious (subjective, harder-to-verify observation).

2. Develop a Hypothesis

Observations tell us about the present or past. But the goal of science is to glean in the future. A scientific hypothesis is based on prior knowledge and produced through reasoning as an attempt to descriptive a future event.

Here are characteristics of a good scientific hypothesis: 

• General and tentative idea
• Agrees with all available observations
• Testable and potentially falsifiable

Remember: If we state our hypothesis to indicate there is no effect, our hypothesis is a cause-and-effect relationship . A hypothesis, which asserts no effect, is called a null hypothesis. 

3. Make a Prediction 

A hypothesis is a mental “launchpad” for predicting the existence of other phenomena or quantitative results of new observations.

Going back to an earlier example here’s how to turn it into a hypothesis and a potential prediction for proving it. For example: If this apple is red, other apples of this type should be red too. 

Your goal is then to decide which variables can help you prove or disprove your hypothesis and prepare to test these. 

4. Perform an Experiment 

Collect all the information around variables that will help you prove or disprove your prediction. According to the scientific method, a hypothesis has to be discarded or modified if its predictions are clearly and repeatedly incompatible with experimental results.

Yes, you may come up with an elegant theory. However, if your hypothetical predictions cannot be backed by experimental results, you cannot use them as a valid explanation of the phenomenon. 

5. Analyze the Results of the Experiment

To come up with proof for your hypothesis, use different statistical analysis methods to interpret the meaning behind your data.

Remember to stay objective and emotionally unattached to your results. If 95 apples turned red, but 5 were yellow, does it disprove your hypothesis? Not entirely. It may mean that you didn’t account for all variables and must adapt the parameters of your experiment. 

Here are some common data analysis techniques, used as a part of a scientific method: 

• Statistical analysis
• Cause and effect analysis (see cause and effect analysis slides )
• Regression analysis
• Factor analysis
• Cluster analysis
• Time series analysis
• Diagnostic analysis
• Root cause analysis (see root cause analysis slides )

6. Draw a Conclusion 

Every experiment has two possible outcomes:

• The results correspond to the prediction
• The results disprove the prediction 

If that’s the latter, as a scientist you must discard the prediction then and most likely also rework the hypothesis based on it. 

How to Give a Scientific Presentation to Showcase Your Methods

Whether you are doing a poster session, conference talk, or follow-up presentation on a recently published journal article, most of your peers need to know how you’ve arrived at the presented conclusions.

In other words, they will probe your scientific method for gaps to ensure that your results are fair and possible to replicate. So that they could incorporate your theories in their research too. Thus your scientific presentation must be sharp, on-point, and focus clearly on your research approaches. 

Below we propose a quick framework for creating a compelling scientific presentation in PowerPoint (+ some helpful templates!). 

1. Open with a Research Question 

Here’s how to start a scientific presentation with ease: share your research question. On the first slide, briefly recap how your thought process went. Briefly state what was the underlying aim of your research: Share your main hypothesis, mention if you could prove or disprove them. 

It might be tempting to pack a lot of ideas into your first slide but don’t. Keep the opening of your presentation short to pique the audience’s initial interest and set the stage for the follow-up narrative.

2. Disclose Your Methods

Whether you are doing a science poster presentation or conference talk, many audience members would be curious to understand how you arrived at your results. Deliver this information at the beginning of your presentation to avoid any ambiguities. 

Here’s how to organize your science methods on a presentation: 

• Do not use bullet points or full sentences. Use diagrams and structured images to list the methods
• Use visuals and iconography to use metaphors where possible.
• Organize your methods by groups e.g. quantifiable and non-quantifiable

Finally, when you work on visuals for your presentation — charts, graphs, illustrations, etc. — think from the perspective of a subject novice. Does the image really convey the key information around the subject? Does it help break down complex ideas?

3. Spotlight the Results 

Obviously, the research results will be your biggest bragging right. However, don’t over-pack your presentation with a long-winded discussion of your findings and how revolutionary these may be for the community. 

Rather than writing a wall of text, do this instead:

• Use graphs with large axis values/numbers to showcase the findings in great detail
• Prioritize formats that are known to everybody (e.g. odds ratios, Kaplan Meier curves, etc.)
• Do not include more than 5 lines of plain text per slide 

Overall, when you feel that the results slide gets too cramped, it’s best to move the data to a new one. 

Also, as you work on organizing data on your scientific presentation PowerPoint template , think if there are obvious limitations and gaps. If yes, make sure you acknowledge them during your speech.

4. Mention Study Limitations 

The scientific method mandates objectivity. That’s why every researcher must clearly state what was excluded from their study. Remember: no piece of scientific research is truly universal and has certain boundaries. However, when you fail to personally state those, others might struggle to draw the line themselves and replicate your results. Then, if they fail to do so, they’d question the viability of your research.

5. Conclude with a Memorable Takeaway Message 

Every experienced speaker will tell you that the audience best retains the information they hear first and last. Most people will attend more than one scientific presentation during the day. 

So if you want the audience to better remember your talk, brainstorm a take-home message for the last slide of your presentation. Think of your last slide texts as an elevator pitch — a short, concluding message, summarizing your research.

To Conclude

Today we have no shortage of research and scientific methods for testing and proving our hypothesis. However, unlike our ancestors, most scientists experience deeper scrutiny when it comes to presenting and explaining their findings to others. That’s why it’s important to ensure that your scientific presentation clearly relays the aim, vector, and thought process behind your research.

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[Updated 2023] Top 20 PowerPoint Templates to Devise a Systematic Research Methodology

Kritika Saini

Developing a systematic research methodology is essential for conducting effective investigations. It ensures clarity, rigor, validity, replicability, ethical integrity, and efficiency in the research process. It serves as a roadmap that guides researchers through the study, enabling them to generate reliable findings and contribute to the advancement of knowledge in their respective fields.

Research Methodology Templates to Conduct Rigorous and Reliable Research

By following a well-structured approach, you can enhance the efficiency of your research and produce meaningful results. Therefore, SlideTeam brings you a collection of content-ready and custom-made PPT templates to help you save time by providing pre-designed structures and frameworks for research methodologies. You can customize these templates to fit your specific projects, eliminating the need to create a methodology from scratch. 

This time-saving aspect allows you to focus more on the actual research process. Secondly, these ready-made templates provide you with consistency and standardization in methodologies. They ensure that essential elements are included and organized in a logical manner, making it easier for readers and reviewers to understand and evaluate the research. They also serve as a helpful guide, ensuring that researchers cover all necessary components and follow best practices. They provide a clear and structured format for learning about research methodologies and help researchers develop a systematic approach to their work. Overall, research methodology templates streamline the process, enhance consistency, and serve as educational resources for researchers at various levels of expertise.

Browse the collection below and ensure that your methodology is comprehensive and well-written. 

Let's begin!

Want to elevate your creativity? Check out this blog.  

Template 1: Research method PPT Template

Save time and ensure consistency with our research methodology template. Designed to streamline your research process, our content-ready template provides a pre-designed structure and framework for developing your methodology section. Use this actionable PPT to focus more on conducting your research while ensuring that all essential elements are covered and organized in a logical manner. Enhance your efficiency and maintain consistency with our research methodology template. 

Download now

Template 2: Research Methodology Process Analysis Template

This is a content-ready PowerPoint template to maximize the effectiveness of your research. This professional and appealing template guides you step-by-step through the research process, from defining your research question to analyzing and interpreting data. With a structured framework in place, you can ensure that your methodology is comprehensive, rigorous, and adheres to best practices. Save time and maintain consistency by using our research methodology process template, empowering you to conduct high-quality research and generate meaningful insights.

Template 3: Business Research Design and Methodology Template

Accelerate your business research endeavors with our business research methodology proposal template. This comprehensive e template provides a solid framework for crafting a well-structured and persuasive research proposal. Streamline the proposal development process by leveraging our template's pre-designed sections, including problem statement, research objectives, methodology, timeline, and budget. Present your proposal with confidence, knowing that you have followed a proven format and incorporated essential elements. Take your business research to the next level with our business research methodology proposal template. 

Template 4: Market Share Research Methodology Template

Wish to uncover valuable market insights? Deploy this ready-made PowerPoint template that simplifies the process of analyzing market share data, allowing you to assess your company's performance in relation to competitors. With pre-designed sections for data collection, analysis, and visualization, easily track market trends, identify growth opportunities, and make data-driven decisions. Save time and enhance your market research efforts with our market share research template, empowering you to stay ahead in a competitive business landscape. 

Template 5: PESTEL Analysis Research Methodology PPT Template

Gain a comprehensive understanding of your business environment with our pre-designed PESTEL analysis research methodology template. This versatile template provides a structured framework for conducting a thorough analysis of the political, economic, social, technological, environmental, and legal factors impacting your industry or market. Easily identify key trends, opportunities, and risks by utilizing our pre-designed sections and guidance. Streamline your research process and make informed strategic decisions using our PESTEL Analysis research methodology template, ensuring your business stays ahead of the curve.

Template 6: Research Methodology with 3 Step Process Map PPT Template 

Looking for ways to create a research methodology process? Achieve research success with our content-ready PPT template which simplifies the research journey into three steps. Collect data, conduct research, and evaluate your findings to draw meaningful conclusions. With our template, you'll stay organized and ensure consistency throughout your research process. Maximize your research potential and achieve impactful results using our premium PPT slide.

Template 7: Rational Sections Research Methodology Template

This is a well-structured PowerPoint template that features distinct sections that guide you through every aspect of your research. From clearly defining research objectives to selecting appropriate data collection methods, analyzing data, and interpreting results, this PPT slide ensures you cover all essential components. With pre-designed sections for literature review, research design, data analysis, and more, you can streamline your research process and maintain consistency. Harness the potential of each section in our research methodology template to conduct rigorous and impactful studies. 

Template 8: Research Methodology with Analysis PPT Template 

Unleash the power of data-driven insights with our ready-made PPT template. This all-inclusive template integrates research methodology and data analysis, providing a comprehensive framework for conducting robust studies. From defining research objectives to data collection, cleaning, and analysis, our template guides you through each step of the research process. With pre-designed sections for statistical analysis, visualizations, and interpretation, uncover meaningful patterns and trends in your data. Elevate your research endeavors with this actionable template and unlock valuable insights for informed decision-making.

Template 9: Research Methodology Workflow PPT Template 

Wish to optimize your research workflow? Use this content-ready PPT template that simplifies the process of planning, executing, and documenting your research methodology. With pre-designed sections for each stage, including research question formulation, data collection, analysis, and reporting, this pre-designed template ensures a structured and organized approach. Streamline your workflow, enhance collaboration, and maintain consistency throughout your research project with our professional and appealing PPT slide. 

Template 10: Research Methodology with Literature Review PPT Template

Deploy this content-ready PowerPoint template to elevate your research that showcases crucial elements of literature review, providing a seamless framework for conducting rigorous investigations. With this pre-designed PPT template exhibiting research objectives, appropriate methods, a thorough literature review, and findings with existing knowledge, you can save time, maintain consistency, and produce impactful research. Leverage our PPT template to uncover valuable insights and contribute to the advancement of knowledge in your field.

Template 11: Framework of Exploratory Research Methodology PPT Template  

Embark on a journey of discovery and provide a structured framework for conducting exploratory research using our content-ready template. Delve into uncharted territories and uncover new insights by incorporating this premium template. Use this PPT slide to identify problem, data collection methods, analysis techniques, and interpretation. This PowerPoint template guides you through the exploratory research process. Unlock novel perspectives, generate hypotheses, and fuel innovation using our ready-made slide.

Template 12: 5 Steps Indicating Research Methodology Process PPT Template

Looking for ways to streamline your research journey? Deploy this content-ready PowerPoint template to simplify the research process into five clear and manageable steps: Define, Design, Collect, Analyze, and Report. Each step is accompanied by pre-designed sections, ensuring a systematic approach to your research project. From formulating research questions to presenting your findings, this premium template provides a structured framework for success. Save time, stay organized, and achieve research excellence with this ready-made template.

Template 13: Graph of Primary Research Methodology PPT Template  

Experience the power of data-driven insights with this professional and appealing PPT template. Designed for primary research, this template offers a comprehensive framework that includes field trials, observations, interviews, focus groups, and surveys. Easily visualize and navigate through each stage of your research process, from data collection to analysis. Organize and document your findings to maximize the effectiveness of your primary research and make informed decisions using our ready to use PowerPoint template. 

Template 14: Research Methodology Framework of Market Analysis PPT Template 

Use this content-ready PPT template tailored specifically for market analysis to guide your research process. From defining research objectives to selecting appropriate data collection methods, analyzing market trends, and drawing meaningful conclusions, our template covers all essential aspects. Streamline your market analysis, maintain consistency, and make data-driven decisions with ease using our Research Methodology Framework for Market Analysis template. Stay ahead of the competition and capitalize on market opportunities. 

Template 15: Four Steps Process of Research Methodology PPT Template 

This is a ready to use PPT template that provides you a structured and organized approach for your research methodology It includes a four-step process: Project Design, Data Acquisition, Data Analysis, and Strategy Recommendation to plan your research project, gather relevant data, analyze it using appropriate techniques, and derive actionable strategy recommendations. Save time and enhance the effectiveness of your research with our premium template, empowering you to make informed decisions and achieve impactful results.

Template 16: Market Research Methodology and Techniques PPT Template 

This comprehensive template equips you with a range of methodologies and techniques to effectively study and understand your target market. From surveys and interviews to focus groups and data analysis, this premium template covers a wide array of research methods. It provides pre-designed sections for each technique, guiding you through the research process and ensuring consistency.

Template 17: Quantitative Market Research Methodology Framework PPT Template 

This template serves as a guide to direct your market research endeavors. Showcasing each stage of the research process, including research design, data collection methods, analysis techniques, and reporting, this template ensures a systematic approach to quantitative market research. Create professional and engaging presentations, highlighting your research methodology with ease.

Template 18: Process Tree for Research Methodology PPT Template 

Use this content-ready PPT template that outlines the sequential steps involved in conducting a research study. It serves as a roadmap, depicting the flow of activities from research question formulation to data collection, analysis, and interpretation. Like the branches of a tree, each step branches out into sub-steps and tasks, highlighting the interconnectedness and dependencies. Grab this ready-made PowerPoint template that provides you with a clear and engaging overview, ensuring researchers stay organized and follow a systematic approach throughout their research journey.

Template 19: Flowchart for Research Methodology PPT Template

Deploy this pre-designed PPT that illustrates the logical flow of steps and decisions involved in conducting a research study. Similar to a roadmap, it presents a series of interconnected boxes or shapes connected by arrows, representing the sequential progression of activities. Each box represents a specific task or process, and the arrows indicate the direction of the flow. Incorporate this PPT slide to help your audience understand the research process at a glance, making it engaging and crisp to follow the logical progression of their study.

Template 20: Eleven Stage Process for Research Methodology PPT Template  

Unleash the power of simplicity in research methodology using our PPT template that eliminates complexity and guides you through each step effortlessly. From defining objectives to data analysis, we've got you covered. Simplify your research journey and unlock meaningful insights with ease.

Our content-ready and custom-made templates empower researchers to streamline their work, save time, and maintain consistency. With its comprehensive structure and pre-designed sections, it simplifies the research process, ensuring all essential components are covered. Maximize your research potential and achieve impactful results with our user-friendly template.

Download now!

FAQs on Research Methodology

What are the four types of research methodology.

The four types of research methodology commonly used in academic and scientific studies are:

Descriptive Research: This type aims to describe and document the characteristics, behavior, and phenomena of a particular subject or population. It focuses on gathering information and providing an accurate portrayal of the research topic.

Experimental Research: This approach involves the manipulation and control of variables to establish cause-and-effect relationships. It often includes the use of control groups and random assignment to test hypotheses and draw conclusions.

Correlational Research: This methodology examines the statistical relationship between two or more variables without direct manipulation. It aims to identify patterns and associations between variables to understand their degree of relationship.

Qualitative Research: This approach focuses on exploring and understanding the subjective experiences, perspectives, and meanings attributed by individuals or groups. It involves methods such as interviews, observations, and analysis of textual or visual data to uncover insights and interpretations.

What are the 3 main methodological types of research?

The three main methodological types of research are:

Quantitative Research: This approach involves the collection and analysis of numerical data to uncover patterns, relationships, and statistical trends. It focuses on objective measurements, often utilizing surveys, experiments, and statistical analysis to quantify and generalize findings.

Qualitative Research: This methodology aims to understand the subjective experiences, meanings, and social contexts associated with a research topic. It relies on non-numerical data, such as interviews, observations, and textual analysis, to explore in-depth perspectives, motivations, and behavior.

Mixed-Methods Research: This type of research integrates both quantitative and qualitative approaches, combining the strengths of both methodologies. It involves collecting and analyzing both numerical and non-numerical data to gain a comprehensive understanding of the research problem. Mixed-methods research can provide a more nuanced picture by capturing both statistical trends and rich contextual information.

What are the 7 basic research methods?

There are several research methods commonly used in academic and scientific studies. While the specific categorization may vary, here are seven basic research methods:

Experimental Research: Involves controlled manipulation of variables to establish cause-and-effect relationships.

Survey Research: Utilizes questionnaires or interviews to collect data from a sample population to gather insights and opinions.

Observational Research: Involves systematic observation of subjects in their natural environment to gather qualitative or quantitative data.

Case Study Research: In-depth analysis of a particular individual, group, or phenomenon to gain insights and generate detailed descriptions.

Correlational Research: Examines the statistical relationship between variables to identify patterns and associations.

Qualitative Research: Focuses on understanding subjective experiences, meanings, and social contexts through interviews, observations, and textual analysis.

Action Research: Involves collaboration between researchers and participants to address real-world problems and generate practical solutions.

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• [Updated 2023] Top 10 Winning Case Study Competition Presentations [and 10 Vexing Business Issues They Can Help You Solve]

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