Ace Your Data Analysis
Get hands-on help analysing your data from a friendly Grad Coach. It’s like having a professor in your pocket.
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Whether you’ve just started collecting your data, are in the thick of analysing it, or you’ve already written a draft chapter – we’re here to help.
Make sense of the data
If you’ve collected your data, but are feeling confused about what to do and how to make sense of it all, we can help. One of our friendly coaches will hold your hand through each step and help you interpret your dataset .
Alternatively, if you’re still planning your data collection and analysis strategy, we can help you craft a rock-solid methodology that sets you up for success.
Get your thinking onto paper
If you’ve analysed your data, but are struggling to get your thoughts onto paper, one of our friendly Grad Coaches can help you structure your results and/or discussion chapter to kickstart your writing.
Refine your writing
If you’ve already written up your results but need a second set of eyes, our popular Content Review service can help you identify and address key issues within your writing, before you submit it for grading .
Why Grad Coach ?
It's all about you
We take the time to understand your unique challenges and work with you to achieve your specific academic goals . Whether you're aiming to earn top marks or just need to cross the finish line, we're here to help.
An insider advantage
Our award-winning Dissertation Coaches all hold doctoral-level degrees and share 100+ years of combined academic experience. Having worked on "the inside", we know exactly what markers want .
Any time, anywhere
Getting help from your dedicated Dissertation Coach is simple. Book a live video /voice call, chat via email or send your document to us for an in-depth review and critique . We're here when you need us.
A track record you can trust
Over 10 million students have enjoyed our online lessons and courses, while 3000+ students have benefited from 1:1 Private Coaching. The plethora of glowing reviews reflects our commitment.
Chat With A Friendly Coach
Have a question ?
Below we address some of the most popular questions we receive regarding our data analysis support, but feel free to get in touch if you have any other questions.
Dissertation Coaching
I have no idea where to start. can you help.
Absolutely. We regularly work with students who are completely new to data analysis (both qualitative and quantitative) and need step-by-step guidance to understand and interpret their data.
Can you analyse my data for me?
The short answer – no.
The longer answer:
If you’re undertaking qualitative research , we can fast-track your project with our Qualitative Coding Service. With this service, we take care of the initial coding of your dataset (e.g., interview transcripts), providing a firm foundation on which you can build your qualitative analysis (e.g., thematic analysis, content analysis, etc.).
If you’re undertaking quantitative research , we can fast-track your project with our Statistical Testing Service . With this service, we run the relevant statistical tests using SPSS or R, and provide you with the raw outputs. You can then use these outputs/reports to interpret your results and develop your analysis.
Importantly, in both cases, we are not analysing the data for you or providing an interpretation or write-up for you. If you’d like coaching-based support with that aspect of the project, we can certainly assist you with this (i.e., provide guidance and feedback, review your writing, etc.). But it’s important to understand that you, as the researcher, need to engage with the data and write up your own findings.
Can you help me choose the right data analysis methods?
Yes, we can assist you in selecting appropriate data analysis methods, based on your research aims and research questions, as well as the characteristics of your data.
Which data analysis methods can you assist with?
We can assist with most qualitative and quantitative analysis methods that are commonplace within the social sciences.
Qualitative methods:
- Qualitative content analysis
- Thematic analysis
- Discourse analysis
- Narrative analysis
- Grounded theory
Quantitative methods:
- Descriptive statistics
- Inferential statistics
Can you provide data sets for me to analyse?
If you are undertaking secondary research , we can potentially assist you in finding suitable data sets for your analysis.
If you are undertaking primary research , we can help you plan and develop data collection instruments (e.g., surveys, questionnaires, etc.), but we cannot source the data on your behalf.
Can you write the analysis/results/discussion chapter/section for me?
No. We can provide you with hands-on guidance through each step of the analysis process, but the writing needs to be your own. Writing anything for you would constitute academic misconduct .
Can you help me organise and structure my results/discussion chapter/section?
Yes, we can assist in structuring your chapter to ensure that you have a clear, logical structure and flow that delivers a clear and convincing narrative.
Can you review my writing and give me feedback?
Absolutely. Our Content Review service is designed exactly for this purpose and is one of the most popular services here at Grad Coach. In a Content Review, we carefully read through your research methodology chapter (or any other chapter) and provide detailed comments regarding the key issues/problem areas, why they’re problematic and what you can do to resolve the issues. You can learn more about Content Review here .
Do you provide software support (e.g., SPSS, R, etc.)?
It depends on the software package you’re planning to use, as well as the analysis techniques/tests you plan to undertake. We can typically provide support for the more popular analysis packages, but it’s best to discuss this in an initial consultation.
Can you help me with other aspects of my research project?
Yes. Data analysis support is only one aspect of our offering at Grad Coach, and we typically assist students throughout their entire dissertation/thesis/research project. You can learn more about our full service offering here .
Can I get a coach that specialises in my topic area?
It’s important to clarify that our expertise lies in the research process itself , rather than specific research areas/topics (e.g., psychology, management, etc.).
In other words, the support we provide is topic-agnostic, which allows us to support students across a very broad range of research topics. That said, if there is a coach on our team who has experience in your area of research, as well as your chosen methodology, we can allocate them to your project (dependent on their availability, of course).
If you’re unsure about whether we’re the right fit, feel free to drop us an email or book a free initial consultation.
What qualifications do your coaches have?
All of our coaches hold a doctoral-level degree (for example, a PhD, DBA, etc.). Moreover, they all have experience working within academia, in many cases as dissertation/thesis supervisors. In other words, they understand what markers are looking for when reviewing a student’s work.
Is my data/topic/study kept confidential?
Yes, we prioritise confidentiality and data security. Your written work and personal information are treated as strictly confidential. We can also sign a non-disclosure agreement, should you wish.
I still have questions…
No problem. Feel free to email us or book an initial consultation to discuss.
What our clients say
We've worked 1:1 with 3000+ students . Here's what some of them have to say:
David's depth of knowledge in research methodology was truly impressive. He demonstrated a profound understanding of the nuances and complexities of my research area, offering insights that I hadn't even considered. His ability to synthesize information, identify key research gaps, and suggest research topics was truly inspiring. I felt like I had a true expert by my side, guiding me through the complexities of the proposal.
Cyntia Sacani (US)
I had been struggling with the first 3 chapters of my dissertation for over a year. I finally decided to give GradCoach a try and it made a huge difference. Alexandra provided helpful suggestions along with edits that transformed my paper. My advisor was very impressed.
Tracy Shelton (US)
Working with Kerryn has been brilliant. She has guided me through that pesky academic language that makes us all scratch our heads. I can't recommend Grad Coach highly enough; they are very professional, humble, and fun to work with. If like me, you know your subject matter but you're getting lost in the academic language, look no further, give them a go.
Tony Fogarty (UK)
So helpful! Amy assisted me with an outline for my literature review and with organizing the results for my MBA applied research project. Having a road map helped enormously and saved a lot of time. Definitely worth it.
Jennifer Hagedorn (Canada)
Everything about my experience was great, from Dr. Shaeffer’s expertise, to her patience and flexibility. I reached out to GradCoach after receiving a 78 on a midterm paper. Not only did I get a 100 on my final paper in the same class, but I haven’t received a mark less than A+ since. I recommend GradCoach for everyone who needs help with academic research.
Antonia Singleton (Qatar)
I started using Grad Coach for my dissertation and I can honestly say that if it wasn’t for them, I would have really struggled. I would strongly recommend them – worth every penny!
Richard Egenreider (South Africa)
Fast-track your project, today.
Drop us a message or book a no-obligation consultation .
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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.
How to Write a Results Section | Tips & Examples. Published on August 30, 2022 by Tegan George. Revised on July 18, 2023. A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation. You should report all relevant results concisely and objectively, in a logical order.
A data analysis dissertation is a complex and challenging project requiring significant time, effort, and expertise. Fortunately, it is possible to successfully complete a data analysis dissertation with careful planning and execution. ... To get a better understanding, you may review the data analysis dissertation examples listed below; Impact ...
And place questionnaires, copies of focus groups and interviews, and data sheets in the appendix. On the other hand, one must put the statistical analysis and sayings quoted by interviewees within the dissertation. 8. Thoroughness of Data. It is a common misconception that the data presented is self-explanatory.
In a dissertation, data analysis is crucial as it directly influences the validity and reliability of your findings. The scope of data analysis includes data collection, data cleaning, statistical analysis, and interpretation of results. ... Inferential statistics enable researchers to make inferences about a population based on sample data ...
The method you choose will depend on your research objectives and questions. These are the most common qualitative data analysis methods to help you complete your dissertation: 2. Content analysis: This method is used to analyze documented information from texts, email, media and tangible items.
Dissertation methodologies require a data analysis plan. Your dissertation data analysis plan should clearly state the statistical tests and assumptions of these tests to examine each of the research questions, how scores are cleaned and created, and the desired sample size for that test. The selection of statistical tests depend on two factors ...
An understanding of the data analysis that you will carry out on your data can also be an expected component of the Research Strategy chapter of your dissertation write-up (i.e., usually Chapter Three: Research Strategy). Therefore, it is a good time to think about the data analysis process if you plan to start writing up this chapter at this ...
How to Write a Results Section | Tips & Examples. Published on 27 October 2016 by Bas Swaen. Revised on 25 October 2022 by Tegan George. A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation. You should report all relevant results concisely and objectively, in a ...
The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods ). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and ...
The first step in dissertation data analysis is to carefully prepare and clean the collected data. This may involve removing any irrelevant or incomplete information, addressing missing data, and ensuring data integrity. Once the data is ready, various statistical and analytical techniques can be applied to extract meaningful information.
It is important to know w hat kind of data you are planning to collect or analyse as this w ill. affect your analysis method. A 12 step approach to quantitative data analysis. Step 1: Start with ...
QDA Method #3: Discourse Analysis. Discourse is simply a fancy word for written or spoken language or debate. So, discourse analysis is all about analysing language within its social context. In other words, analysing language - such as a conversation, a speech, etc - within the culture and society it takes place.
You can seek a data analysis dissertation example or sample from CrowdWriter to better understand how we write it while following the above-mentioned points. Step 8: Reviewing and Editing. Reviewing and editing your data analysis chapter is crucial for ensuring its effectiveness and impact. By revising your work, you refine the clarity and ...
The process of data analysis in secondary research. Secondary analysis (i.e., the use of existing data) is a systematic methodological approach that has some clear steps that need to be followed for the process to be effective. In simple terms there are three steps: Step One: Development of Research Questions. Step Two: Identification of dataset.
Often, descriptive research requires very large sample sizes and is used to describe a population. ... Applying Quantitative Data Analysis to Your Thesis Statement. It's difficult—if not impossible—to flesh out a thesis statement before beginning your preliminary research. If you're at the beginning stages of your dissertation process ...
How to Do Thematic Analysis | Step-by-Step Guide & Examples. Published on September 6, 2019 by Jack Caulfield.Revised on June 22, 2023. Thematic analysis is a method of analyzing qualitative data.It is usually applied to a set of texts, such as an interview or transcripts.The researcher closely examines the data to identify common themes - topics, ideas and patterns of meaning that come up ...
In a typical dissertation, you will present your findings (the data) in the Results section. You will explain how you obtained the data in the Methodology chapter. The data analysis section should be reserved just for discussing your findings. This means you should refrain from introducing any new data in there.
Score 94% Score 94%. 4.4 Writing the Data Analysis Chapter (s): Results and Evidence. Unlike the introduction, literature review and methodology chapter (s), your results chapter (s) will need to be written for the first time as you draft your thesis even if you submitted a proposal, though this part of your thesis will certainly build upon the ...
Moreover, the frequency distribution analysis suggested three age groups; '20-35', '36-60' and 'Above 60'. 39% of the respondents belonged to the '20-35' age group, while 56.5% of the respondents belonged to the '36-60' age group and the remaining 4.5% belonged to the age group of 'Above 60'. Furthermore, the annual ...
Step 4: Acknowledge the limitations of your study. The fourth step in writing up your discussion chapter is to acknowledge the limitations of the study. These limitations can cover any part of your study, from the scope or theoretical basis to the analysis method (s) or sample.
from this study. The analysis and interpretation of data is carried out in two phases. The. first part, which is based on the results of the questionnaire, deals with a quantitative. analysis of data. The second, which is based on the results of the interview and focus group. discussions, is a qualitative interpretation.
How to write Data analysis in Research. Data analysis is crucial for interpreting collected data and drawing meaningful conclusions. Follow these steps to write an effective data analysis section in your research. 1. Prepare Your Data. Ensure your data is clean and organized: Remove duplicates and irrelevant data. Check for errors and correct them.
5.1.1 Sample data and sample period. The sample data of the study comprises weekly closing prices of 480 constituents of S &P 500 (USA) from 06 January 2015 to 07 June 2022 (388 weekly closing prices). The price data is collected from Refinitiv Datastream. We delete those stocks from the analysis whose data is not available for more than a year.
A cross-sectional study was conducted to compare serum peptidome profiles in 13 NmFMC, 23 mFMC and 18 healthy cats. The liquid chromatography-tandem mass spectrometry analysis was performed on non-trypsinized samples. Out of a total of 8284 expressed proteins observed, several proteins were found to be associated with human breast cancer.
Make sense of the data. If you've collected your data, but are feeling confused about what to do and how to make sense of it all, we can help. One of our friendly coaches will hold your hand through each step and help you interpret your dataset. Alternatively, if you're still planning your data collection and analysis strategy, we can help ...
The data also provide updated mortgage performance and credit information for a nationally representative sample of mortgage borrowers from 2013 to 2021. ... "The data released today will provide insights into consumer behavior and borrowers' experiences, leading to better analysis of how mortgage processes could be improved for future ...
Gayathri R., Sajjanhar A., Xiang Y., Hybrid deep learning model using SPCAGAN augmentation for insider threat analysis, 2022, arXiv preprint arXiv:2203.02855. ... Liu F., Dai Y., Product processing quality classification model for small-sample and imbalanced data environment, Computational Intelligence and Neuroscience 2022 (2022).