For doctoral and master's researchers
Dissertation statistics help that holds up under examination
Work one-to-one with a qualified statistician who plans your analysis, runs it correctly, and writes a results chapter your committee will accept. From choosing the right test to defending your findings.
- PhD-qualified statisticians
- SPSS, R and Stata
- APA and journal-ready reporting
- Fixed quote before any work starts
Dissertation statistics help is hands-on support from a qualified statistician who plans your analysis, runs it in SPSS, R, or Stata, and writes a results section your committee will accept. It covers everything from choosing the correct statistical test to reporting effect sizes, p-values, and confidence intervals in the format your discipline expects.
How we can help
Whatever stage you have reached, there is a service shaped around it, from planning the analysis to turning a finished dataset into a defensible chapter.
Where most dissertation analyses go wrong
The statistics chapter rarely fails because a researcher cannot press the right buttons. It fails because the analysis plan was never matched to the research questions, the assumptions behind a test were never checked, or the output was pasted in without interpretation. A committee reading your methodology wants to see that the test fits the design, that the sample size can actually support the claim, and that every number traces back to a hypothesis.
That is the gap we close. Rather than hand you a generic tutorial, a statistician reviews your design, names the issues a reviewer will raise, and fixes them before submission. If you are earlier in the process, our dissertation statistical consulting sessions work through the analysis plan with you directly.
How the work gets done
- 1
Analysis plan and test selection
We map each research question to a defensible statistical test, confirm the variables and measurement levels, and document why each method was chosen.
- 2
Power and sample size
We run a power analysis so your sample size is justified, or explain the limits of the sample you already collected.
- 3
Running the analysis
We clean the dataset, check statistical assumptions, and run the analysis in SPSS, R, or your required software, with a reproducible record of every step.
- 4
Reporting and interpretation
We write the results in APA or your required style, with correct tables, effect sizes, and plain-language interpretation you can defend in your viva.
The same workflow scales across degree levels. See PhD statistics help for doctoral projects and master's thesis statistics for shorter timelines. If your data is already collected and you only need the analysis itself, start with dissertation data analysis help.
Who we work with
We support doctoral and master's researchers across disciplines, including psychology, education, health sciences, business, and the life sciences. The projects range from tightly quantitative designs to mixed-methods studies that combine survey data with qualitative work.
That includes first-time analysts who have never opened a statistics package, as well as returning researchers who simply want a second methodologist to confirm the analysis is defensible before submission. Wherever you sit on that spectrum, the work is matched to your design rather than forced into a fixed template.
Common statistical problems we solve
Most dissertations arrive with one of a small number of recurring issues. The frequent ones are:
- an inappropriate test chosen for the structure of the data, so the analysis does not actually answer the question;
- unchecked assumptions, such as normality or homogeneity of variance, that a reviewer will probe;
- a results section that lists p-values without any interpretation of what they mean for the hypotheses;
- a sample size a reviewer will question because it was never justified with a power analysis;
- output the researcher cannot confidently explain and would struggle to defend in a viva.
Each of these is fixable before submission. Two of the most common starting points are choosing the correct statistical test and checking test assumptions so the analysis holds up under scrutiny.
Why researchers choose us
Genuine subject-matter statisticians
Your analysis is handled by people who work with postgraduate research every day, not a general tutoring service.
Defensible, documented methods
Every test is justified and every step recorded, so you can explain and defend each result in your viva.
Clear, fixed pricing
You receive a fixed quote for the specific work before anything begins, with no obligation and no surprises.
What researchers say
Feedback from doctoral and master's researchers we have supported through the statistics in their dissertation or thesis.
I was completely stuck on the statistical analysis chapter of my dissertation and had no idea whether I was applying the right tests. The guidance I received helped me understand the rationale behind the analyses and present my results confidently. My supervisor was impressed with the revisions and approved the chapter with only minor comments.
Fast, knowledgeable, and very patient. I needed help interpreting my regression results and explaining them academically. Everything was broken down in a way I could actually understand.
I was under immense pressure because my dissertation deadline was only two weeks away. I had collected the data but struggled with SPSS and choosing the appropriate analyses. The support I received was exceptional, from checking assumptions to interpreting outputs and helping me structure the results chapter. What stood out most was the attention to detail and the willingness to answer every question I had. I finally submitted on time and passed my defense successfully.
Honestly, I wish I had sought help earlier. The explanations on ANOVA and post-hoc testing saved me countless hours of confusion.
As an international student, statistics was always my weakest area. I needed assistance with factor analysis and reliability testing for my dissertation. The explanations were clear, professional, and tailored to my study. I not only completed my dissertation but also gained confidence in interpreting statistical outputs independently.
Excellent communication and deep understanding of research statistics. Every concern I had was addressed promptly.
My dissertation involved mediation analysis, which I found incredibly intimidating. I had watched countless YouTube videos and read articles, but nothing clicked. The support I received helped me understand the methodology, interpret the results correctly, and write the findings in an academic style suitable for my field. The entire process felt collaborative and stress-free. I ended up receiving positive feedback from both my supervisor and examiner.
Very professional. They explained why certain statistical methods were appropriate instead of simply giving answers. That made a huge difference for me.
I needed help with mixed-effects models for a healthcare dissertation, and I was worried my data was too messy to analyze properly. The guidance I received was detailed and practical. Every step, from cleaning the data to interpreting the final model, was explained clearly. I especially appreciated how complex statistical concepts were translated into plain English. I would absolutely seek similar help again if needed.
From the statistics guide
All guidesTell us your research questions and what you have collected so far, and we will recommend the right analysis.
Request a quoteFrequently asked questions
- How much does it cost to hire a statistician for your dissertation?
There is no single figure, because the cost tracks the scope: the number of research questions, the type and complexity of the analyses, and your deadline. Share your questions and dataset and you receive a fixed quote for the specific work, with no obligation.
- How do I know which statistical test to use?
The correct test follows from your research question, the number and type of variables, and whether groups are independent or repeated. Group differences point to a t-test or ANOVA, associations to chi-square, and relationships to correlation or regression. We map each question to a test before any analysis begins.
- What is a good sample size for a dissertation?
There is no universal number; the defensible answer comes from a power analysis based on your design, the effect size you expect, and your chosen significance level. We can justify a target sample before collection, or explain the limits of a sample you have already gathered.
- Can ChatGPT do statistical analysis?
It can suggest code and explain concepts, but it cannot verify your assumptions, confirm the test fits your design, or take responsibility for a result you must defend. A statistician checks the analysis against your data so the chapter holds up under examination.