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Dissertation Statistics Help by StatWorkz

The good, bad and complicated facets of dissertation statistics, made easy for you. – Dr. Kevin Douglas

Dissertation Statistics Help has been a life savior for PhD researchers who are stuck with analyzing statistical data for completion of chapter 4 of their dissertation.  Statistics is an integral part of all research work that is undertaken across the globe. The aim of a research is to find a fresh perspective on an issue, get a solution to a problem, or to prove a theory. For any of these goals, a researcher needs to gather data related to the problem, analyze it and decipher the results. This process of data collection, analysis and interpretation of the outcome involves statistics and at Statworkz we offer dissertation statistics help to simplify this process.

Statworkz has a team of accomplished PhD statisticians, who are adept at the calculating sample size for a research, finding out which tests are most suited for the type of data, running the tests on SPSS, AMOS, STATA, R and E-Views and interpreting the results. They are able to help the scholars by simplifying the problems and offering timely solutions for every block faced. Whenever the client feels confused about the tools being used and techniques adopted, he can get in touch with the statistician working on his project and get a prompt resolution to queries regarding dissertation statistics help service.

The scope of the dissertation statistics help service that Statworkz provides extends to all the stages of statistical research. Researchers can access our team for:

•  Power Analysis / Sample Size Calculation
•  Research Methods Consultation and Questionnaire Design
•  Data Analysis using SPSS, AMOS, STATA, E Views or SAS
•  Data Arrangement and Management
•  Interpretation Report in MS Word Format

Data analysis help is provided for both quantitative and qualitative research topics. According to the requirement of the research, data analysis tools and tests are adopted. StatWorkz provides comprehensive help for research methodology formulation and data analysis chapters. On the other hand, researchers also have the option of taking customized services for power analysis at the proposal stage and structured equation modeling using AMOS. Our statistics dissertation help service is inclusive of data analysis, interpretation report and free revisions for 30 days.

Though SPSS is the most favored and popular tool for data analysis used by researchers, our team is also trained for using Stata , Eviews and Amos for quantitative research and Nvivo for qualitative research. The tests and modules are applied with accuracy and the outcome is presented in a simplified manner. Statworkz also prepares the clients for research defense related to statistical chapters, by giving the rationale for choosing the statistical tests.

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Mastering Spss: Advice For Writing A Dissertation

The SPSS statistical package is one of the most popular and widely used software programs for data analysis. It is commonly used in many disciplines, including psychology, sociology, economics, and public health.

Mastering the use of SPSS can be an invaluable tool for students writing a dissertation. This article provides advice on how to successfully use SPSS when writing a dissertation.

This article will provide an overview of the essential components of using SPSS effectively when writing a dissertation. It will cover topics such as:

• Data analysis techniques
• Creating output files
• Interpreting results

In addition to providing advice on best practices for using SPSS, readers will also gain insight into troubleshooting common issues that may arise when working with this powerful software program.

Overview Of Spss

SPSS is a comprehensive statistical package that enables users to analyze data and produce meaningful results for research projects. It provides powerful tools for data visualization, descriptive statistics, complex queries, automated processes and hypothesis testing. The software also enables users to export their results into various formats such as Microsoft Excel spreadsheets and charts.

In addition, SPSS includes a range of tutorials and help documents that can assist users in understanding the functionality of the software. These resources provide valuable insight into how to approach data analysis tasks and how to interpret the resulting output.

Furthermore, the software offers an intuitive user interface which allows novice users to quickly become familiar with its features. This helps them get started on their research projects quickly and efficiently.

Benefits Of Using Spss

SPSS (Statistical Package for Social Sciences) is a powerful tool that can be used for a variety of purposes. It allows for data visualization, predictive modeling, and statistical testing to help researchers understand their data better and come to reliable conclusions. SPSS also helps with research methodology, survey design, and more.

Here are three benefits of using SPSS:

• Easy-to-use interface
• Comprehensive set of features
• Ability to analyze complex datasets

Using SPSS can save time and make the process of analyzing large datasets easier and more efficient. It provides researchers with an array of tools such as descriptive statistics, correlations, t-tests, chi-square tests, ANOVA tests and much more which can help them gain valuable insights into their data quickly.

Furthermore, its graphical capabilities enable researchers to present their findings in a visually appealing manner which can be useful when presenting results to colleagues or peers.

By taking advantage of SPSS’s many features and abilities, researchers are able to simplify their research workflow while still obtaining reliable results from their data analysis efforts. As a result, they can focus on other aspects of their research such as formulating hypotheses or writing up results in an organized manner without having to worry about the data analysis part.

This makes SPSS an invaluable resource for anyone engaged in social science research or any other field that involves dealing with data.

Installing And Setting Up Spss

The previous section discussed the benefits of using SPSS for data analysis, such as data visualization and predictive modeling. Now, we will discuss how to install and set up SPSS on your computer.

An online tutor should be familiar with the installation process of SPSS. To begin with, you need to download the software from its official website and install it on your computer. After that, you must activate it with a serial number or an activation code in order to run the software. Once you have completed these steps, you are ready to use SPSS for data analysis tasks like statistical tests, regression analysis and survey design.

Besides these basic features, it also offers other features such as text analytics and advanced analytics techniques. It is important to note that you may need additional plugins or packages in order to use some features in SPSS. For example, if you want to use text analytics or advanced analytics techniques then you will need specific packages for those features. Therefore, make sure you download any extra components before using the software for a particular task.

Furthermore, always double-check if all components are installed properly so that you can avoid any technical issues while using the software. With this comprehensive guide on how to install and set up SPSS on your computer, now you can easily analyze your data with accurate results! You can also use it for a variety of purposes such as performing statistical tests or designing surveys. So go ahead and start analyzing your data with confidence!

Data Management And Analysis

Data management and analysis are some of the most important aspects of a successful dissertation. It is essential to have an understanding of data manipulation, statistical tests, sampling techniques, predictive modeling, and visualization techniques. These skills can help you identify relationships among variables, find patterns in your data, and present your findings in a meaningful way.

When it comes to data manipulation and analysis, statistical software such as SPSS can be extremely useful. SPSS allows you to quickly perform basic operations on your dataset, as well as more advanced tasks like creating predictive models or visualizing complex data relationships.

Additionally, SPSS provides a wide range of built-in statistical tests that can be used to further analyze your data and uncover interesting insights. By mastering SPSS and taking advantage of its features, you can ensure that your dissertation is supported by reliable evidence and sound methodology.

Before performing any kind of statistical analysis on your dataset it is important to know how the data was collected. This will help you determine if any additional steps need to be taken before running the analysis. Furthermore, it is also important to understand how different sampling techniques can influence the results of the analysis and develop strategies for dealing with these issues.

With these considerations in mind you can ensure that the conclusions drawn from your research are valid and reliable.

Working With Graphs And Tables

Now that the data has been managed and analyzed, it is time to work with graphs and tables. This section will focus on how to interpret results, visualize data, test hypotheses and summarize findings while exploring trends.

When interpreting results, it is important to pay attention to the details of the analysis and determine if any patterns can be discerned in the data.

Visualizing data is also an important part of analyzing results; this can be done by creating charts or graphs that illustrate the data in a meaningful way.

Additionally, testing hypotheses can help identify relationships between different variables within the dataset, allowing for further insights into the analysis.

Summarizing findings is another important step in working with graphs and tables; this involves condensing complex information into a concise format that allows readers to easily understand what has been discovered from the analysis.

Exploring trends helps to identify changes in data over time that could provide additional insight into what might be happening based on certain variables.

Understanding these processes will help ensure accurate interpretations of results when working with graphs and tables.

How To Write A Dissertation With Spss

When writing a dissertation with SPSS, it is important to consider how to explore trends in the data, develop an effective survey design, perform statistical tests and data analysis, visualize the data effectively, and test the reliability of the results.

Exploring trends in data sets can help researchers to identify areas of interest within their study.

Surveys should be designed thoughtfully to ensure that all relevant information is collected and analyzed accurately.

Statistical tests such as ANOVA or Chi-Square should be used to assess whether observed relationships between variables are statistically significant.

Data visualization through charts and graphs can also provide useful insights into the underlying patterns in a dataset.

Finally, reliability testing should be performed to ensure that results are consistent across different samples or time frames.

With these considerations in mind, researchers can ensure that their dissertation with SPSS is both accurate and meaningful.

Generating Reports And Summaries

• Creating graphs is an effective way to explore and display data in an understandable format. It is important to consider the nature of the data when selecting the type of graph that is most appropriate.
• Exploring relationships between variables can be done using a variety of statistical tests. It is important to understand the assumptions of the test and the implications of the results.
• Summarizing data can be done in a variety of ways, including descriptive statistics and frequency tables. It is important to consider the type of data when selecting the appropriate summary.

Creating Graphs

One of the most important aspects of data analysis and report generation is visualizing trends.

With the right graphs, you can quickly explore your data and use statistical tests to further understand the results.

SPSS offers many options for creating these graphs, including histograms, scatterplots, line charts, boxplots, pie charts and more.

With a few clicks of the mouse, you can create meaningful visuals that help you better understand your data and draw meaningful conclusions from it.

By utilizing the tools provided by SPSS to construct informative visuals, you can easily present your findings in a way that is engaging and effective.

Ultimately, mastering these skills will help you make the most of your data analysis efforts.

Exploring Relationships

When it comes to data analysis and report generation, exploring relationships between variables is a key part of understanding the results.

SPSS provides a number of tools to help in this effort, such as correlation testing, significance testing and regression modeling.

With these tools, you can determine if there is a meaningful relationship between two or more variables and draw meaningful conclusions from the results.

By utilizing the comprehensive suite of relationship-exploring tools available in SPSS, you can gain valuable insights into your data that can help inform your decision-making process.

Summarizing Data

Once you have explored the relationships between variables, the next step in generating reports and summaries is to summarize the data.

Summarizing data helps you to interpret results and gain a deeper understanding of your statistics. This can include analyzing trends such as identifying patterns or correlations in the data.

It also involves calculating summary statistics, such as mean, median, mode and standard deviation.

By summarizing your data, you can get an overall sense of what it tells you and use that information to guide your decisions.

Tips For Effective Data Analysis

Now that you are familiar with generating reports and summaries in SPSS, it is time to move on to the next step: effective data analysis. Effective data analysis involves more than just a few clicks of the mouse; it requires an understanding of statistical tests and research methods used in quantitative research.

Here are some tips for effective data analysis:

• Data Visualization : Use data visualization tools such as bar graphs, line graphs and pie charts to help you get a better understanding of your data.
• Software Tutorials : Take advantage of software tutorials to help you learn how to use SPSS effectively.
• Research Methods : Learn about various research methods such as descriptive statistics and inferential statistics.
• Statistical Tests : Familiarize yourself with different types of statistical tests, including ANOVA, t-test, chi-square test, correlation analysis and regression analysis.

By following these tips, you will be able to gain a better understanding of your data and make more informed decisions when analyzing it. Additionally, you will be able to apply these techniques to other quantitative research projects that require the use of SPSS.

Troubleshooting Common Problems

When working with SPSS, it is important to be aware of common problems in order to troubleshoot them quickly and effectively. In this section, we will discuss data visualization, coding errors, outliers identification, statistical tests, and data cleaning.

Common Problems:

• Data Visualization: Use appropriate charts and graphs when displaying data in a meaningful way.
• Coding Errors: Check for typos and other errors when entering the code into SPSS.
• Outliers Identification: Spot outliers by plotting data points on a graph or using other statistical methods.
• Statistical Tests: Choose the most appropriate test for the research question being investigated.
• Data Cleaning: Remove duplicate or inaccurate entries from the dataset prior to analysis.

As an online tutor, I advise my students to be mindful of common issues when using SPSS for their dissertation work so that they can avoid these issues and save time during their project. It is important to identify potential problems before they arise so that you are prepared if any do occur.

Even though it may feel like a daunting task at first, with proper preparation and practice you can develop the skills necessary to properly troubleshoot any potential issues while working with SPSS.

Additional Resources

Continuing on from the previous section, there are additional resources available to help you with mastering SPSS.

The first option is online tutorials. These tutorials often provide step-by-step instructions on how to use the software. As such, they can be useful both for beginners and experienced users who want to learn advanced features of the program.

The second option is scholarly articles. These articles can provide valuable guidance on how to use SPSS for your dissertation research. They may also include tips on data analysis and interpretation that can be helpful when working with a large dataset.

In addition, there are software tutorials specifically designed for SPSS users. These tutorials can provide detailed instructions on how to use specific features of the program or answer common questions about its usage.

Finally, community forums and YouTube videos can be great sources of information about using SPSS. Many users have posted questions and answers related to using this statistical software package, which can be a great resource if you’re having trouble figuring out a particular issue or task.

Below are some helpful resources to consult when looking for advice related to mastering SPSS:

• Online Tutorials
• Scholarly Articles
• Software Tutorials
• Community Forums
• YouTube Videos

Whether you’re just getting started or need help advancing your skillset in SPSS, these resources should prove useful in helping you achieve your goals.

Frequently Asked Questions

What is the best way to organize my dissertation research.

When organizing dissertation research, it is important to consider the use of statistical modeling and data mining techniques to ensure that sample size and coding errors are taken into account.

Data visualization should also be used to present findings in a more engaging way. An online tutor can assist with understanding how these techniques can be implemented correctly.

Additionally, it is important to consider the underlying motivations behind the research-such as serving others-in order to create an engaging writing style.

Doing so will help to ensure that the dissertation research is organized in a meaningful and effective way.

How Can I Ensure I Am Accurately Interpreting My Spss Results?

Accurately interpreting the results of a statistical analysis can be challenging for students.

To ensure that you are accurately interpreting your SPSS results, consider validating them through data cleaning, data visualization, and error detection.

Additionally, it is important to understand the underlying assumptions of the statistical tests used in SPSS.

Through this process, you can gain confidence in your interpretation of results and ensure accuracy in your dissertation research.

Where Can I Find Additional Resources To Help Me With My Dissertation?

When writing a dissertation, it is important to ensure you have access to additional resources to help you with your research and analysis.

Fortunately, there are many online tutorials available that can assist you in mastering SPSS. These tutorials can provide guidance on data visualization, statistical tests, data cleaning, and other topics related to the software.

Additionally, peer review is an important part of crafting a successful dissertation and these online tutorials can offer advice on how best to present your findings for review.

What Are The Most Common Mistakes That People Make When Using Spss?

When working with SPSS, it is important to pay attention to the details. Common mistakes that people make include not utilizing data visualization effectively, not selecting the appropriate statistical tests, not understanding the importance of sampling techniques, neglecting data cleaning, and not having a good grasp on coding techniques.

An online tutor can help you understand each of these components better so that you can avoid making these common mistakes and use SPSS successfully.

What Techniques Can I Use To Make The Data Analysis Process Easier?

To make the data analysis process easier, it is important to utilize a combination of techniques such as:

• Machine learning
• Data visualization
• Illustrative examples
• Statistical tests
• Data cleaning

This allows for the process to be more efficient and effective. For example, data cleaning can help identify outliers and any discrepancies in the dataset that could affect the results.

Additionally, machine learning can be used to generate insights from large datasets quickly and accurately.

Furthermore, utilizing illustrative examples can help bring clarity to complex concepts such as different types of statistical tests.

Finally, data visualization tools can be used to help easily interpret results from these tests in an intuitive manner.

All of these techniques combined will ultimately make the data analysis process easier.

In conclusion, the use of SPSS software can be a valuable tool for completing one’s dissertation. It is important to understand the best ways to organize research, interpret results accurately, find additional resources when needed, and avoid common mistakes while using SPSS. Additionally, it is useful to learn techniques that make data analysis easier. With this knowledge, students are empowered to approach their dissertation research efficiently and effectively.

The first step in mastering SPSS is to understand how to organize research for the dissertation. This includes creating a clear structure for data collection and analysis that flows logically from beginning to end. Doing so will ensure accuracy throughout the entire process.

Next, it is essential to check that all of the results are being interpreted correctly with SPSS software. It is useful to utilize additional resources such as online tutorials or virtual courses in order to become more familiar with the program’s features and functions. Doing so will make it easier to spot any errors in interpretation of results and data analysis processes.

Finally, it is important to be aware of potential pitfalls when working with SPSS software. These include incorrect formatting of data input, incorrect coding of variables, or failure to double-check results before drawing conclusions from them. By avoiding these common mistakes, students can make sure that their work is accurate and reliable.

With these tips in mind, students can successfully master SPSS software for their dissertations and gain confidence in their data analysis skills.

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How To Write The Results/Findings Chapter

For quantitative studies (dissertations & theses).

By: Derek Jansen (MBA) | Expert Reviewed By: Kerryn Warren (PhD) | July 2021

So, you’ve completed your quantitative data analysis and it’s time to report on your findings. But where do you start? In this post, we’ll walk you through the results chapter (also called the findings or analysis chapter), step by step, so that you can craft this section of your dissertation or thesis with confidence. If you’re looking for information regarding the results chapter for qualitative studies, you can find that here .

Overview: Quantitative Results Chapter

• What exactly the results chapter is
• What you need to include in your chapter
• How to structure the chapter
• Tips and tricks for writing a top-notch chapter
• Free results chapter template

What exactly is the results chapter?

The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you’ve found in terms of the quantitative data you’ve collected. It presents the data using a clear text narrative, supported by tables, graphs and charts. In doing so, it also highlights any potential issues (such as outliers or unusual findings) you’ve come across.

But how’s that different from the discussion chapter?

Well, in the results chapter, you only present your statistical findings. Only the numbers, so to speak – no more, no less. Contrasted to this, in the discussion chapter , you interpret your findings and link them to prior research (i.e. your literature review), as well as your research objectives and research questions . In other words, the results chapter presents and describes the data, while the discussion chapter interprets the data.

Let’s look at an example.

In your results chapter, you may have a plot that shows how respondents to a survey  responded: the numbers of respondents per category, for instance. You may also state whether this supports a hypothesis by using a p-value from a statistical test. But it is only in the discussion chapter where you will say why this is relevant or how it compares with the literature or the broader picture. So, in your results chapter, make sure that you don’t present anything other than the hard facts – this is not the place for subjectivity.

It’s worth mentioning that some universities prefer you to combine the results and discussion chapters. Even so, it is good practice to separate the results and discussion elements within the chapter, as this ensures your findings are fully described. Typically, though, the results and discussion chapters are split up in quantitative studies. If you’re unsure, chat with your research supervisor or chair to find out what their preference is.

What should you include in the results chapter?

Following your analysis, it’s likely you’ll have far more data than are necessary to include in your chapter. In all likelihood, you’ll have a mountain of SPSS or R output data, and it’s your job to decide what’s most relevant. You’ll need to cut through the noise and focus on the data that matters.

This doesn’t mean that those analyses were a waste of time – on the contrary, those analyses ensure that you have a good understanding of your dataset and how to interpret it. However, that doesn’t mean your reader or examiner needs to see the 165 histograms you created! Relevance is key.

How do I decide what’s relevant?

At this point, it can be difficult to strike a balance between what is and isn’t important. But the most important thing is to ensure your results reflect and align with the purpose of your study .  So, you need to revisit your research aims, objectives and research questions and use these as a litmus test for relevance. Make sure that you refer back to these constantly when writing up your chapter so that you stay on track.

As a general guide, your results chapter will typically include the following:

• Some demographic data about your sample
• Reliability tests (if you used measurement scales)
• Descriptive statistics
• Inferential statistics (if your research objectives and questions require these)
• Hypothesis tests (again, if your research objectives and questions require these)

We’ll discuss each of these points in more detail in the next section.

Importantly, your results chapter needs to lay the foundation for your discussion chapter . This means that, in your results chapter, you need to include all the data that you will use as the basis for your interpretation in the discussion chapter.

For example, if you plan to highlight the strong relationship between Variable X and Variable Y in your discussion chapter, you need to present the respective analysis in your results chapter – perhaps a correlation or regression analysis.

Need a helping hand?

How do I write the results chapter?

There are multiple steps involved in writing up the results chapter for your quantitative research. The exact number of steps applicable to you will vary from study to study and will depend on the nature of the research aims, objectives and research questions . However, we’ll outline the generic steps below.

Step 1 – Revisit your research questions

The first step in writing your results chapter is to revisit your research objectives and research questions . These will be (or at least, should be!) the driving force behind your results and discussion chapters, so you need to review them and then ask yourself which statistical analyses and tests (from your mountain of data) would specifically help you address these . For each research objective and research question, list the specific piece (or pieces) of analysis that address it.

At this stage, it’s also useful to think about the key points that you want to raise in your discussion chapter and note these down so that you have a clear reminder of which data points and analyses you want to highlight in the results chapter. Again, list your points and then list the specific piece of analysis that addresses each point. 

Next, you should draw up a rough outline of how you plan to structure your chapter . Which analyses and statistical tests will you present and in what order? We’ll discuss the “standard structure” in more detail later, but it’s worth mentioning now that it’s always useful to draw up a rough outline before you start writing (this advice applies to any chapter).

Step 2 – Craft an overview introduction

As with all chapters in your dissertation or thesis, you should start your quantitative results chapter by providing a brief overview of what you’ll do in the chapter and why . For example, you’d explain that you will start by presenting demographic data to understand the representativeness of the sample, before moving onto X, Y and Z.

This section shouldn’t be lengthy – a paragraph or two maximum. Also, it’s a good idea to weave the research questions into this section so that there’s a golden thread that runs through the document.

Step 3 – Present the sample demographic data

The first set of data that you’ll present is an overview of the sample demographics – in other words, the demographics of your respondents.

For example:

• What age range are they?
• How is gender distributed?
• How is ethnicity distributed?
• What areas do the participants live in?

The purpose of this is to assess how representative the sample is of the broader population. This is important for the sake of the generalisability of the results. If your sample is not representative of the population, you will not be able to generalise your findings. This is not necessarily the end of the world, but it is a limitation you’ll need to acknowledge.

Of course, to make this representativeness assessment, you’ll need to have a clear view of the demographics of the population. So, make sure that you design your survey to capture the correct demographic information that you will compare your sample to.

But what if I’m not interested in generalisability?

Well, even if your purpose is not necessarily to extrapolate your findings to the broader population, understanding your sample will allow you to interpret your findings appropriately, considering who responded. In other words, it will help you contextualise your findings . For example, if 80% of your sample was aged over 65, this may be a significant contextual factor to consider when interpreting the data. Therefore, it’s important to understand and present the demographic data.

 Step 4 – Review composite measures and the data “shape”.

Before you undertake any statistical analysis, you’ll need to do some checks to ensure that your data are suitable for the analysis methods and techniques you plan to use. If you try to analyse data that doesn’t meet the assumptions of a specific statistical technique, your results will be largely meaningless. Therefore, you may need to show that the methods and techniques you’ll use are “allowed”.

Most commonly, there are two areas you need to pay attention to:

#1: Composite measures

The first is when you have multiple scale-based measures that combine to capture one construct – this is called a composite measure .  For example, you may have four Likert scale-based measures that (should) all measure the same thing, but in different ways. In other words, in a survey, these four scales should all receive similar ratings. This is called “ internal consistency ”.

Internal consistency is not guaranteed though (especially if you developed the measures yourself), so you need to assess the reliability of each composite measure using a test. Typically, Cronbach’s Alpha is a common test used to assess internal consistency – i.e., to show that the items you’re combining are more or less saying the same thing. A high alpha score means that your measure is internally consistent. A low alpha score means you may need to consider scrapping one or more of the measures.

#2: Data shape

The second matter that you should address early on in your results chapter is data shape. In other words, you need to assess whether the data in your set are symmetrical (i.e. normally distributed) or not, as this will directly impact what type of analyses you can use. For many common inferential tests such as T-tests or ANOVAs (we’ll discuss these a bit later), your data needs to be normally distributed. If it’s not, you’ll need to adjust your strategy and use alternative tests.

To assess the shape of the data, you’ll usually assess a variety of descriptive statistics (such as the mean, median and skewness), which is what we’ll look at next.

Step 5 – Present the descriptive statistics

Now that you’ve laid the foundation by discussing the representativeness of your sample, as well as the reliability of your measures and the shape of your data, you can get started with the actual statistical analysis. The first step is to present the descriptive statistics for your variables.

For scaled data, this usually includes statistics such as:

• The mean – this is simply the mathematical average of a range of numbers.
• The median – this is the midpoint in a range of numbers when the numbers are arranged in order.
• The mode – this is the most commonly repeated number in the data set.
• Standard deviation – this metric indicates how dispersed a range of numbers is. In other words, how close all the numbers are to the mean (the average).
• Skewness – this indicates how symmetrical a range of numbers is. In other words, do they tend to cluster into a smooth bell curve shape in the middle of the graph (this is called a normal or parametric distribution), or do they lean to the left or right (this is called a non-normal or non-parametric distribution).
• Kurtosis – this metric indicates whether the data are heavily or lightly-tailed, relative to the normal distribution. In other words, how peaked or flat the distribution is.

A large table that indicates all the above for multiple variables can be a very effective way to present your data economically. You can also use colour coding to help make the data more easily digestible.

For categorical data, where you show the percentage of people who chose or fit into a category, for instance, you can either just plain describe the percentages or numbers of people who responded to something or use graphs and charts (such as bar graphs and pie charts) to present your data in this section of the chapter.

When using figures, make sure that you label them simply and clearly , so that your reader can easily understand them. There’s nothing more frustrating than a graph that’s missing axis labels! Keep in mind that although you’ll be presenting charts and graphs, your text content needs to present a clear narrative that can stand on its own. In other words, don’t rely purely on your figures and tables to convey your key points: highlight the crucial trends and values in the text. Figures and tables should complement the writing, not carry it .

Depending on your research aims, objectives and research questions, you may stop your analysis at this point (i.e. descriptive statistics). However, if your study requires inferential statistics, then it’s time to deep dive into those .

Step 6 – Present the inferential statistics

Inferential statistics are used to make generalisations about a population , whereas descriptive statistics focus purely on the sample . Inferential statistical techniques, broadly speaking, can be broken down into two groups .

First, there are those that compare measurements between groups , such as t-tests (which measure differences between two groups) and ANOVAs (which measure differences between multiple groups). Second, there are techniques that assess the relationships between variables , such as correlation analysis and regression analysis. Within each of these, some tests can be used for normally distributed (parametric) data and some tests are designed specifically for use on non-parametric data.

There are a seemingly endless number of tests that you can use to crunch your data, so it’s easy to run down a rabbit hole and end up with piles of test data. Ultimately, the most important thing is to make sure that you adopt the tests and techniques that allow you to achieve your research objectives and answer your research questions .

In this section of the results chapter, you should try to make use of figures and visual components as effectively as possible. For example, if you present a correlation table, use colour coding to highlight the significance of the correlation values, or scatterplots to visually demonstrate what the trend is. The easier you make it for your reader to digest your findings, the more effectively you’ll be able to make your arguments in the next chapter.

Step 7 – Test your hypotheses

If your study requires it, the next stage is hypothesis testing. A hypothesis is a statement , often indicating a difference between groups or relationship between variables, that can be supported or rejected by a statistical test. However, not all studies will involve hypotheses (again, it depends on the research objectives), so don’t feel like you “must” present and test hypotheses just because you’re undertaking quantitative research.

The basic process for hypothesis testing is as follows:

• Specify your null hypothesis (for example, “The chemical psilocybin has no effect on time perception).
• Specify your alternative hypothesis (e.g., “The chemical psilocybin has an effect on time perception)
• Set your significance level (this is usually 0.05)
• Calculate your statistics and find your p-value (e.g., p=0.01)
• Draw your conclusions (e.g., “The chemical psilocybin does have an effect on time perception”)

Finally, if the aim of your study is to develop and test a conceptual framework , this is the time to present it, following the testing of your hypotheses. While you don’t need to develop or discuss these findings further in the results chapter, indicating whether the tests (and their p-values) support or reject the hypotheses is crucial.

Step 8 – Provide a chapter summary

To wrap up your results chapter and transition to the discussion chapter, you should provide a brief summary of the key findings . “Brief” is the keyword here – much like the chapter introduction, this shouldn’t be lengthy – a paragraph or two maximum. Highlight the findings most relevant to your research objectives and research questions, and wrap it up.

Some final thoughts, tips and tricks

Now that you’ve got the essentials down, here are a few tips and tricks to make your quantitative results chapter shine:

• When writing your results chapter, report your findings in the past tense . You’re talking about what you’ve found in your data, not what you are currently looking for or trying to find.
• Structure your results chapter systematically and sequentially . If you had two experiments where findings from the one generated inputs into the other, report on them in order.
• Make your own tables and graphs rather than copying and pasting them from statistical analysis programmes like SPSS. Check out the DataIsBeautiful reddit for some inspiration.
• Once you’re done writing, review your work to make sure that you have provided enough information to answer your research questions , but also that you didn’t include superfluous information.

If you’ve got any questions about writing up the quantitative results chapter, please leave a comment below. If you’d like 1-on-1 assistance with your quantitative analysis and discussion, check out our hands-on coaching service , or book a free consultation with a friendly coach.

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SPSS Help: A Brief Tutorial

January 31, 2018 by Dissertation Genius

What is SPSS?

Do you need SPSS help ? SPSS is an IBM creation and stands for the Statistical Package for the Social Sciences. It is an effective yet simple software for analyzing data inputs. This data can come from just about any source you can imagine: dissertation research, a customer resource management database, in-house marketing research, or even the server log data of a website. SPSS is also able to open numerous file formats, usually those related to structured data such as Microsoft Excel, SQL databases, or even plain text files.

The SPSS Data Editor Window – Data vs. Dictionary view

After opening SPSS and importing (or inputting) your data, the software will display this data in a spreadsheet-like fashion, similar to the below screenshot. Your data will be opened in the Data Editor window and it will be displayed in one of two ways: Data view and Metadata (or Dictionary) view. The below screenshot is the normal ‘Data’ view which allows you to see your displayed data:

Meanwhile, the Data Editor window of SPSS has a second viewable sheet. The first sheet is the one we just discussed (data view). The second sheet, shown below, shows the metadata for your particular data. ‘Metadata’ is just a fancy word that means ‘data about data’ and shows information about the meaning of your data, its variables, values, etc. This metadata view is generally known by programmers as a codebook but in SPSS it’s called the dictionary. The screenshot shows you this ‘dictionary’ view of your data which, again, contains the metadata about your data:

For those users not yet oriented with SPSS, the look and feel of SPSS and its Data Editor window is very similar to a Microsoft Excel workbook that contains two separate but related sheets.

SPSS Data Analysis

So far, you’ve been shown how SPSS actually displays your data. But how can you actually go about analyzing this data? One simple way to do this is through the comprehensive menu options available in SPSS. To illustrate, suppose your data contains a variable showing the income of your survey respondents after 2010. You can compute the average income for this variable by simply clicking the SPSS Descriptive Statistics dialog window (refer to the below screenshot).

After you select the Descriptive Statistics dialog window, the output of your descriptive stats results will display in a separate window from the traditional Data Editor window. This new window is called the SPSS Output Viewer Window. Compared to the Data Editor window, this second window has a completely different format and structure. The following is a screenshot of this new Output Viewer Window:

Just to make sure you know, when you care an output window in SPSS, nothing in your data sheets will change in any way. Remember, the data editor and output view in SPSS are wholly and completely separated. For those users new to SPSS, you can compare the look and feel of the Output Viewer window in SPSS to slides in Microsoft Powerpoint that may contain items such as tables, charts, and blocks of texts.

SPSS Reporting

The output data in SPSS, such as tables and charts, can easily be copied and pasted over into other applications. For example, many users use word processing applications like Microsoft Word, OpenOffice, or even Google Docs to create reports. Tables from SPSS are usually copied over into other applications in rich text format (.rtf). This means that these tables will keep their styling, format,  and structure (e.g. fonts, borders, etc.). The below screenshot is an example of a table copied over into OpenOffice using the rich text format:

This output table by the way was created using the Descriptive Statistics option from the SPSS menu. SPSS does give users another option for running this particular command (to create the table) or even any other command you want. So, besides the Data Editor window we mentioned, and besides the Output Viewer window, there is a third window you can open called the Syntax Editor window. In this window, you can type certain commands that you’d like to run. For example:

will do the same thing as clicking the Descriptive Statistics dialog window and running the command from there.

It is not necessary to manually type the commands into the Syntax Editor window. You can actually paste the commands into the window by clicking through the options available in the SPSS menu bar. If so, then why exactly use the Syntax Editor window? There are several reasons to use it as opposed to the menu. The commands typed into the syntax can be saved, edited, quickly retrieved, rerun, and shared between other members of your project. This allows the effortless streamline of the project workflow and easy collaboration among users of your research.

For beginning SPSS users, the look and feel of the SPSS Syntax Editor window can be compared to Notepad or Command Prompt (basically a single window containing simple plain text).

SPSS Main Features – Quick Overview

Since you now have a basic grasp of how SPSS works, along with its main windows and views, it is useful to give you a brief overview of what SPSS can actually do. For most typical projects, SPSS is ideal to:

• Open data files – You can do this in the SPSS file format or other formats;
• Edit data – You can make numerical calculations, compute averages, and view your data over tables (columns and rows);
• Generate charts and tables – You can create charts and tables that contain summary statistics and other numerical stats over several variables;
• Run inferential statistics – You can conduct analysis of variance (ANOVA), regression analysis, factor analysis, and more;
• Save data and output – You can do this in a wide spectrum of formats.

The following section contains a brief description of each of these features:

SPSS – Opening Data Files

It must be kept in mind that SPSS has its own file format. However, SPSS can be used in conjunction with other file formats such as Microsoft Excel spreadsheets, simple text files (ASCII, UTF-8, etc.), database formats (such as those used by Microsoft SQL Server, MySQL, and Oracle), Stata, and more.

SPSS – Editing Data

In the real word of research, the raw data you gather as a doctoral student for your dissertation will most likely need some editing before you can properly analyze them (whether in NVIVO or other statistical analysis programs besides SPSS). An example of this may include creating averages, means, sums, or even restructuring data. However, you can conduct all these tasks (and more comprehensive ones) seamlessly and effortlessly with SPSS. For doing this, you can use many functions in SPSS like date, string, numeric functions, and more.

SPSS – Tables and Charts

All your basic charts and tables can be created with little effort in SPSS. However, one drawback inherent in SPSS is that the generated charts and tables are usually ugly and contain a rather clumsy structure and layout. But to solve this problem, you can actually develop and apply certain SPSS chart templates. But to do this will require some experience and expertise in SPSS.

SPSS – Inferential Statistics

With SPSS, you have a multitude of statistical tests like ANOVA, chi-square tests, t-tests, and more. You also have multivariate analysis features for regression analysis, cluster analysis, factor analysis, and more.

SPSS – Saving Data and Output

You can save your data in a variety of formats in SPSS. These formats include Microsoft Excel file formats, plain text, SAS, State, and more.

Keep in mind that the file formats you can save for your output are even more numerous. You can copy-paste images of charts in .png and other image formats. In addition, for tables, you can use rich text format as previously mentioned. You can also batch export a number of common formats that include, among others, .doc, .docx, .html, .htm, and .pdf.

SPSS Expert Guidance – Dissertation Genius

If you’re stuck on a project and need guidance and help for SPSS analysis, or if you simply have a question in SPSS and need an expert’s helping hand, feel free to contact us by simply putting your question or concern. We’ve been in the dissertation consulting field for over two decades and know the SPSS program inside out. Therefore, don’t hesitate to contact us no matter how big or small your concern!

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Embarking on a dissertation requires a robust statistical foundation, and our custom service offers just that. From managing and cleaning your data to delivering insightful analysis and well-articulated results , SPSSanalysis.com is your partner in academic achievement. Our expert statisticians are adept at transforming complex data into comprehensible insights, making your dissertation stand out in the realm of academic research. Finally, if you need help with data analysis for dissertation, Get a Free Quote Now.

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Dissertation Statistical Analysis

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Our platform simplifies the engagement with seasoned statisticians, transforming the daunting task of data analysis into a seamless and manageable process. From the initial free quote to the meticulous delivery of your statistical task, SPSSanalysis.com guarantees a personalized and efficient service tailored to your research needs . Embrace the opportunity to elevate your dissertation with our comprehensive support, designed to guide you towards academic success.

How Data Analysis for Dissertation Works

Our process for providing dissertation statistics help is straightforward and efficient, encapsulated in three simple steps :

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Who Can Get Dissertation Data Analysis Help?

Dissertation data analysis help from SPSSanalysis.com is an essential resource for master students, PhD candidates, researchers, and academicians across a spectrum of disciplines . Whether you are at the inception of your research or in the throes of data analysis, our services are designed to offer substantial support. Our expertise is not limited by the scope of your study; instead, we provide a scaffolding to elevate your research with statistical precision and academic rigour.

  Subject Areas 

SPSSanalysis.com offers expert statistical support across a wide range of subject areas for your dissertation, including but not limited to:

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• Nursing: We provide a wide range of PhD-level statistical consultation and data analysis services for DNP students.
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• Business and Marketing: We provide statistical insights for market research, consumer behaviour, and business strategy studies.
• Economics: Our expertise extends to economic models, financial analysis, and policy impact assessments.
• Sports : Statistical support for research on athletic performance, sports psychology, and physical education.
• Nutrition : Analysis for dietary studies, nutritional epidemiology, and health outcome research related to nutrition

This list represents the core areas where we offer specialized statistical support, ensuring that your dissertation benefits from precise and insightful analysis tailored to your specific field of study.

Which Statistical Software Can We Help With?

At SPSSanalysis.com, we are proficient in a wide range of statistical software, offering support for the following tools to accommodate your dissertation’s specific analysis needs:

• SPSS : Ideal for managing and analyzing social science data.
• R : A powerful tool for statistical computing and graphics.
• STATA : Versatile software for data management, statistical analysis, and graphics.
• SAS: Comprehensive software for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
• JAMOVI: A user-friendly tool for basic to advanced statistical analysis, built on R.
• JMP: Specializes in dynamic data visualization and exploratory data analysis.
• MINITAB: Easy-to-use software for quality improvement and statistics education.
• MATLAB: A high-level language and interactive environment for numerical computation, visualization, and programming.
• EXCEL: Widely used for basic statistical analysis and data management.
• Nvivo & MAXQDA: Qualitative data analysis software for complex data sets.
• JASP: A fresh approach to statistical analysis, emphasizing simplicity and ease of use.
• G-power: For power analysis and sample size determination.
• Graphpad-Prism: Focused on scientific graphing, curve fitting, and biostatistics.

Whether your project demands the advanced statistical analysis capabilities of R or the user-friendly interface of SPSS, our team is on hand to ensure your data is analysed with precision and insight. Choose SPSSanalysis.com for support that transcends the limitations of software, focusing instead on elevating the quality of your research.

Pricing: Help with Data Analysis for Dissertation

Understanding the cost involved in securing expert statistical assistance is crucial, and at SPSSanalysis.com, we believe in transparency and custom solutions. Our pricing structure is dependent on the complexity of your dissertation, the deadline, and the requested services, such as data management, data analysis, writing results, and methodology. To ensure you receive a service that is tailored precisely to your needs, we encourage obtaining a free quote , allowing us to provide you with a custom price that reflects the value and expertise our service brings to your project.

Our minimum order value starts at £500 , a testament to the quality and depth of service you can expect from our team of PhD-holding statisticians, each with a minimum of 7+ years of experience. This investment in your dissertation is an investment in its success, ensuring that your statistical analysis is conducted with the utmost precision and professionalism .

Why Choose SPSSanalysis.com and What are Our Guarantees?

Choosing SPSSanalysis.com for your dissertation statistical analysis comes with a set of clear promises and benefits, designed to ensure your absolute satisfaction and confidence in our services:

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• Free Unlimited Revisions: Your satisfaction is our priority. We offer unlimited revisions until your expectations are fully met.
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• Non-Disclosure Agreements: Our statisticians are bound by NDAs, ensuring all data is handled with the utmost confidentiality.
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These guarantees underscore our commitment to delivering quality, reliability, and support, ensuring that SPSSanalysis.com is the premier choice for your dissertation statistical analysis needs. Finally, if you need help with a methodology, you can get Statistical help for your Dissertation. Get a Free Quote Now.

What is statistical analysis in a dissertation?

Statistical analysis in a dissertation is a critical component that involves applying mathematical and statistical techniques to the collected data to test hypotheses, analyze patterns, and draw conclusions. It serves as the backbone of the research, providing a quantitative foundation for validating the research questions and supporting the research findings with empirical evidence.

What is a dissertation in research methodology?

A dissertation in research methodology is an extensive academic document that represents the culmination of a researcher’s work in a specific field of study. It encompasses a detailed exploration of a particular research question, including the design, execution, and analysis of the research. The methodology section specifically outlines the procedures and techniques used to collect, analyze, and interpret data, serving as a blueprint for the research process. Finally, You can get Help with Data Analysis for Dissertation,   Get a Free Quote Now.

How to do hypothesis testing in a research paper?

Hypothesis testing in a research paper involves several key steps:

• Formulating a null and alternative hypothesis,
• Selecting an appropriate statistical test,
• Setting a significance level (commonly 0.05),
• Calculating the test statistic from the data,
• Comparing it to a critical value to determine whether to reject the null hypothesis.

This process allows researchers to make informed decisions about the validity of their hypotheses based on statistical evidence.

Why is statistics important in a dissertation?

Statistics are vital in a dissertation because they provide a systematic method for analyzing data, ensuring that conclusions are based on objective, empirical evidence rather than subjective interpretation. In addition, the use of statistics enhances the credibility of the research findings , allows for the generalization of results to larger populations, and enables the researcher to address complex research questions with clarity and precision.

What is the meaning of results in a dissertation?

The results section of a dissertation presents the outcomes of the statistical analysis, including the data in its raw or processed form, often showcased through tables, graphs, and charts. Finally, you can get Help with Data Analysis for Dissertation. Get a Free Quote Now!

Which statistical tools are good for a thesis?

Statistical tools such as SPSS, R, STATA, SAS, and others are highly regarded for thesis research due to their robust analytical capabilities. The choice of tool often depends on the specific requirements of the research, including the nature of the data and the complexity of the analyses.

Can you hire a statistician for a dissertation?

Hiring a statistician for a dissertation is increasingly common and beneficial, especially for researchers who may lack the statistical expertise required to analyse their data effectively. A statistician can provide invaluable assistance in designing the study, selecting appropriate statistical tests, analysing data, and interpreting results, thereby enhancing the quality and integrity of the research.

Can I pay someone to do my dissertation statistics?

Yes, paying for professional assistance with dissertation statistics is permissible and can be a wise investment in the quality of your dissertation. In addition, Professional statisticians bring a level of expertise and precision to the analysis that can significantly improve the clarity and impact of your research findings.

How much does it cost to hire a statistician for your thesis?

The cost of hiring a statistician for your thesis can vary widely based on the complexity of the analysis, the amount of data, and the required turnaround time. Prices might start from around £500 for basic analyses but can increase significantly for more complex projects. It’s essential to get a detailed quote upfront that outlines the scope of work and associated costs.

Are you allowed to get help with a dissertation?

Yes, seeking help with aspects of your dissertation , such as statistical analysis, editing, or proofreading, is allowed and often encouraged within academic institutions. Therefore, this support can help ensure that your research is presented clearly and professionally, adhering to the highest academic standards.

Is it ethical to get help with statistical analysis for a thesis?

Yes, it is ethical to seek help with statistical analysis for a thesis. Many academic institutions allow, and even recommend, consulting with statisticians to ensure that research methodologies are sound and that analyses are correctly performed and interpreted.

What happens if you pay someone to do your dissertation?

Paying someone to do your dissertation or significant parts of it, raises ethical concerns and can undermine the academic integrity of your work. While it is acceptable to seek help with certain aspects of your dissertation, such as statistical analysis or editing, the core ideas, research, and writing should be your own. In addition, Misrepresenting someone else’s work as your own can have serious academic consequences. However, ethical collaboration, where the assistance is correctly acknowledged, and the student’s contribution remains primary, is widely accepted.

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Data Analysis Help

Are You Looking for Data Analysis Help  For Your  Assignment ,  Coursework , Dissertation, or Research ?

Whether it’s time or the topic that’s against you, we provide the best  Statistical Analysis Help   with any  Statistical Software tools such as SPSS, R-Studio, STATA, etc . Get Top-Quality Authentic Data Analysis Help Today!

How Data Analysis Help Service Works

Submit Your Work

Start by clicking on the GET INSTANT QUOTE button to Get a Free Quote! Enter the required details of the task, and upload supporting files to submit through our easy-to-navigate order form.

• Make the Payment

Our experts will review and update the quote for your Data Analysis Task. Make the payment to start the processing, we have PayPal integration which is quick and secure.

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Relax and Expect Excellence!   You will receive a high-quality, 100% plagiarism-free result within the promised deadline. We will send the solutions to you  by e-mail  as per the agreed deadline.

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On-Time Delivery

There is no deadline that can stop our experts from delivering quality Statistical Data Analysis Help to the students. Quality and accurate work delivered to your inbox well before the deadline. We accept rushed Statistics Data Analysis .

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We provide unmatched and very friendly client service. Get connected with our customer support executives to receive instant and live solutions for your Data Analysis Task . Round-the-clock assistance to help with revisions and queries.

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Get authentic and unique Data Analysis Reports by using our 100% plagiarism-free services. Our delivered work is absolutely plagiarism-free and checked by our no-save precise plagiarism detection software.

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Experienced Statisticians

Professional statisticians committed to delivering high-quality solutions in their respective fields

Table of Content

• Data Analysis
• What is Statistical Data Analysis Service?
• How Our Statistician Helps You
• Data Analysis Tools
• How OnlineSPSS Helps in Data Analysis?

1. Data Analysis

Data analysis for quantitative research is one of the most common areas. In other words, the main aim of this analysis is to create models and understand the data. Also, analyzing data is a key factor in the decision-making process.

In general, data analysis is about collecting, transforming, and modeling data. In this process, we follow different methods. For example, we use descriptive or Inferential Statistics for data analysis in social sciences. On the other hand, data mining is a statistical model-based analysis technique.

Data Analysis Process

There are 5 main steps in the data analysis process .

• Data collection : In this step, we decide the suitable population and sample size. Then, the data collection method depends on the sample size as well as the research topic.
• Data processing : This is where the structured data is created. The structured data is necessary for the analysis .
• Data cleaning : After data processing, we determine incomplete or duplicate data.  We have to clean the data to obtain reliable results.
• Data analysis : We apply one of the methods: DS, EDA, or CDA methods.
• Modeling and visualization : The last step is about interpreting and presenting the data. Here, it is possible to plot graphs or charts to show the findings.

2. What is Statistical Data Analysis Service?

We offer statistical data analysis services in many areas, we use programs such as statistical SPSS, R studio, STATA, etc. that you need in these data analyses. The aim of the data analysis service is that assistance to students in doing their research papers, assignments, reports, projects, Master’s thesis, Ph.D. dissertation, etc. We have a team of experienced professionals who are experts in various fields of statistics and can provide you with the best possible assistance.

Data Analysis Using IBM SPSS

If you are looking for someone to do your SPSS Data Analysis in assignments, homework, thesis, paper, dissertation, and other such areas, you are in the right place. Our team of fully qualified statisticians gives professional SPSS data analysis help in a short time. You can get help with your SPSS Assignment and SPSS Homework.

Statistical Test Using R-Studio

Help with R-Studio is a statistical analysis service in many research areas. Our statisticians are proficient in a variety of advanced statistical methods and will use their experience to ensure you fully understand your data analyses using R-studio.

Furthermore, they will create the necessary charts and graphs for your paper and work with you one-on-one until you have a complete understanding of the rationale, results, and implications of your data.

Dissertation Statistic Help

If you are preparing a dissertation results section, you are probably working with data. Most students have no idea about how to work on data using statistical tools. Also, these students often do not know how to prepare statistics for their dissertations. At this point, Dissertation Statistics Help services can help these students with their statistical processes.

3. How Our Statistician Help You?

Our statisticians and biostatisticians are proficient in a variety of advanced statistical methods and will use their experience to ensure you fully understand your data analyses.

They will provide you with the charts, graphs, and interpretation of them that you need for your paper and work with you one-on-one until you have a full understanding of the rationale, results, and implications of your data.

Why Pay for Professional Data Analysis Help?

You can get help from us, we give data analysis help for students with their assignments, dissertations, or research. Doing it yourself is always cheaper, but it can also be a lot more time-consuming . If you’re not the best at data analysis, then this might not be a good idea. It can take days just to figure out how to do some of the easier things in a statistical software tool.

So, paying someone to do your Data Analysis will save you a ton of time and make your life a lot easier. Finally, Our purpose is to provide quick, reliable, and understandable information about data analysis to our clients.

4. Data Analysis Tools

A great number of tools are available to carry out statistical analysis of data.  These may be features tailored to scientific research, cost modeling, or health science; other tools can perform specific statistical analyses across industries or use cases. We can help with any statistical analysis software in the list below.

We can use the following tools for Data analysis Help :

• Graph Prism

The selection of these tools depends on the data usage purpose. While Excel, R-Studio, and IBM SPSS can be ideal for most cases, other data analysis help tools might work better for specific cases.

5. How OnlineSPSS Helps in Data Analysis?

All you need do is send your Documents for the Data Analysis to us by clicking the GET INSTANT QUOTE button and specifying the necessary details. Once you submit your documents, our academic consultant will carefully assess each document and provide an offer of services, including a quote and turnaround time that is directly related to the amount of work required. Finally, our statisticians get to work immediately and complete your 100% authentic Task and we deliver them to your e-mail address on time.

Here’s the step-by-step statistical analysis help process. You can see three easy-to-follow steps.

• Submit and Get a FREE Quote!
• Get Solutions

Customer Satisfaction

The OnlineSPSS.com company concentrates on providing complete customer satisfaction. Every one of our clients will get as many free revisions as necessary if his or her requirements are not met by our writers. Firstly, We employ experienced customer support representatives who are ready to provide high-quality R-Studio assistance 24/7 and answer all your questions. Secondly, our staff is friendly and highly dedicated to every customer. Finally, We value every individual who turns to Online Data Analysis Help for assistance and promise to do our very best and provide every person with top-quality statistical analysis.

Who We Are?

We are a unique team of statistics experts, with members located in the USA, UK, and around the world. Our certified online statisticians bring significant expertise and years of experience in their respective fields, along with strong communication skills. Each team member has a minimum of 9 years of experience in statistics, and many hold postgraduate degrees, including some Ph.D. experts. Our main office is located in the UK, and if you happen to be nearby, feel free to drop in for a coffee on us. Furthermore, our customer support team is always ready to assist you, no matter where you are in the world.

How does the data analysis help by your platform work?

To place the order for your data analysis help with us, you can simply navigate to the Submit Form located on our home page or click the following link:  https://www.onlinespss.com/submit-your-project

Firstly, fill up the order form with essential details of your data analysis assignment help, homework help, or project help.

Secondly, Get a Quote and proceed with the payment for your order.

Finally, sit back and relax.

Who will handle my data analysis if I place an order with OnlineSPSS.com?

We maintain a substantial team of statisticians, with each member meticulously chosen through a rigorous selection process. All our tutors hold master’s or Ph.D. degrees, coupled with extensive writing experience in the field of statistics. Our in-house team takes meticulous care in selecting the ideal expert for your Data Analysis Help.

What will be the cost of my data analysis help service?

We offer the most competitive prices in the entire industry. The cost of our service is determined by the specifications and requirements of your Data analysis help.  This is influenced by several factors, including content Type, deadline, available discounts and bonuses, as well as any additional services you might require.

How much time is required to complete my data analysis help?

We accommodate both urgent and standard orders.

You can select from the following time frame options:

• 6 hours, 12 hours, 24 hours, 48 hours, 72 hours, 5 days, 7 days, and more.

You can submit your request within a reasonable timeframe that grants you control over your review process.

However, it’s important to note that the delivery time hinges on the task’s type and complexity. For example, managing a dissertation with intricate datasets and content within a short timeframe presents considerable challenges. We want to ensure you are informed about the potential that we may not be able to accept such requests.

Ensuring timely delivery for all orders to our valued customers remains our foremost concern. As such, you will receive a specific delivery date, day, and time for your order. Before proceeding with payment, we will provide you with a clear delivery date pertaining to your work. Do keep in mind that the urgency level has an impact on the overall cost.

What guarantees does OnlineSPSS.com provide?

OnlineSPSS.com offers the following guarantees:

• On-time delivery
• Assurance of high-quality standards
• Guarantee of plagiarism-free content
• Unlimited revision rights
• Non-resale or publication of delivered content
• Protection of personal information
• Assured 100% confidentiality for all orders

Please take note: Our free revision rights remain applicable only if the initial project guidelines are not adhered to. Any supplementary requirements following project completion will not be covered under the free service. For instance, additional test requests, alterations to the dataset used for testing, and different software requests will incur additional charges.

How will I be informed when my order is ready?

We always keep our customers updated on the progress of their orders. When the expert complete the project, we send an e-mail with the document attached to the address you provided. Further, you may also track the progress via email or our live chat page.

Is my personal information shared with third parties?

No, your personal details are not shared with any third party, nor are they provided to your assigned tutor.

Our service ensures 100% confidentiality. To ensure the privacy of your details, we remove any personal data from attachments you send us for reference purposes. Additionally, OnlineSPSS.com does not require you to register on our platform.

How to tackle the PhD dissertation

Finding time to write can be a challenge for graduate students who often juggle multiple roles and responsibilities. Mabel Ho provides some tips to make the process less daunting

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Writing helps you share your work with the wider community. Your scholarship is important and you are making a valuable contribution to the field. While it might be intimidating to face a blank screen, remember, your first draft is not your final draft! The difficult part is getting something on the page to begin with. 

As the adage goes, a good dissertation is a done dissertation, and the goal is for you to find balance in your writing and establish the steps you can take to make the process smoother. Here are some practical strategies for tackling the PhD dissertation.

Write daily

This is a time to have honest conversations with yourself about your writing and work habits. Do you tackle the most challenging work in the morning? Or do you usually start with emails? Knowing your work routine will help you set parameters for the writing process, which includes various elements, from brainstorming ideas to setting outlines and editing. Once you are aware of your energy and focus levels, you’ll be ready to dedicate those times to writing.

While it might be tempting to block a substantial chunk of time to write and assume anything shorter is not useful, that is not the case. Writing daily, whether it’s a paragraph or several pages, keeps you in conversation with your writing practice. If you schedule two hours to write, remember to take a break during that time and reset. You can try:

• The Pomodoro Technique: a time management technique that breaks down your work into intervals
• Taking breaks: go outside for a walk or have a snack so you can come back to your writing rejuvenated
• Focus apps: it is easy to get distracted by devices and lose direction. Here are some app suggestions: Focus Bear (no free version); Forest (free version available); Cold Turkey website blocker (free version available) and Serene (no free version). 

This is a valuable opportunity to hone your time management and task prioritisation skills. Find out what works for you and put systems in place to support your practice. 

• Resources on academic writing for higher education professionals
• Stretch your work further by ‘triple writing’
• What is your academic writing temperament?

Create a community

While writing can be an isolating endeavour, there are ways to start forming a community (in-person or virtual) to help you set goals and stay accountable. There might be someone in your cohort who is also at the writing stage with whom you can set up a weekly check-in. Alternatively, explore your university’s resources and centres because there may be units and departments on campus that offer helpful opportunities, such as a writing week or retreat. Taking advantage of these opportunities helps combat isolation, foster accountability and grow networks. They can even lead to collaborations further down the line.

• Check in with your advisers and mentors. Reach out to your networks to find out about other people’s writing processes and additional resources.
• Don’t be afraid to share your work. Writing requires constant revisions and edits and finding people who you trust with feedback will help you grow as a writer. Plus, you can also read their work and help them with their editing process.
• Your community does not have to be just about writing!  If you enjoy going on hikes or trying new coffee shops, make that part of your weekly habit.  Sharing your work in different environments will help clarify your thoughts and ideas.

Address the why

The PhD dissertation writing process is often lengthy and it is sometimes easy to forget why you started. In these moments, it can be helpful to think back to what got you excited about your research and scholarship in the first place. Remember it is not just the work but also the people who propelled you forward. One idea is to start writing your “acknowledgements” section. Here are questions to get you started:

• Do you want to dedicate your work to someone? 
• What ideas sparked your interest in this journey? 
• Who cheered you on? 

This practice can help build momentum, as well as serve as a good reminder to carve out time to spend with your community. 

You got this!

Writing is a process. Give yourself grace, as you might not feel motivated all the time. Be consistent in your approach and reward yourself along the way. There is no single strategy when it comes to writing or maintaining motivation, so experiment and find out what works for you. 

Suggested readings

• Thriving as a Graduate Writer by Rachel Cayley (2023)
• Destination Dissertation by Sonja K. Foss and William Waters (2015)
• The PhD Writing Handbook by Desmond Thomas (2016).

Mabel Ho is director of professional development and student engagement at Dalhousie University.

If you would like advice and insight from academics and university staff delivered direct to your inbox each week,  sign up for the Campus newsletter .

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