Support for Your Research
Statistical Data Analysis for Master's and PhD Research
You've spent months — sometimes years — designing your study and collecting your data. Don't let the analysis chapter be the reason it stalls. We turn your raw data into clear, defensible results your committee will accept.
The Chapter Nobody Fully Prepares You For
Every graduate program teaches you how to design a study. Almost none of them teach you what to actually do when you're staring at a raw dataset with a deadline approaching.
By the time most students reach the analysis stage, they're facing decisions that weren't covered in coursework: Which test actually fits this research question? What do I do about these missing values? Did I violate an assumption without realizing it? Why does my supervisor keep sending this chapter back?
This isn't a sign that something is wrong with you as a researcher. Statistics is a specialized skill on its own — separate from your subject expertise — and most graduate programs simply don't teach it in enough depth to prepare you for a real dataset with real problems.
That's the gap we work in.
What Actually Goes Wrong (And Why It Costs You Time)
A few patterns show up again and again in dissertations and theses that get sent back for revision:
- Wrong test selection — using a parametric test on data that doesn't meet the assumptions, or missing a more appropriate test entirely
- Unchecked assumptions — normality, homogeneity of variance, multicollinearity — skipped or assumed rather than tested
- Weak or mechanical interpretation — results reported as raw numbers without connecting them back to the research questions
- Inconsistent reporting — tables that don't match APA (or your institution's) formatting standards
- Missing data handled incorrectly — deleted, ignored, or imputed without justification
- Sample size and power issues — discovered too late, after data collection is already finished
Each of these is fixable — but they're much easier to fix before your committee flags them, not after.
What Our Statistical Data Analysis Service Includes
We provide complete statistical support for master's theses, PhD dissertations, and academic research projects — from your first methodology decision to your final, submission-ready results chapter.
Statistical Data Analysis
Descriptive statistics, correlation, linear and logistic regression, t-tests, one-way and factorial ANOVA/MANOVA, repeated measures designs, factor analysis (exploratory and confirmatory), cluster analysis, mediation and moderation analysis, non-parametric tests (Mann-Whitney, Kruskal-Wallis, Wilcoxon), chi-square tests, survival analysis, and more advanced modeling where your research calls for it.
Data Cleaning & Preparation
Before any meaningful analysis can happen, your dataset usually needs work: identifying and handling missing values, recoding and re-scaling variables, screening for outliers, checking data entry errors, and structuring the file correctly for your chosen statistical procedures. Skipping this step is one of the most common — and most avoidable — sources of flawed results.
Data Visualization
Clear, publication-ready charts, graphs, and tables that actually communicate your findings — not default software output pasted in as-is. Well-designed visuals often make the difference between a results chapter that's easy to defend and one that invites questions.
Methodology Consulting
Ideally, statistical planning happens before data collection — not after. We can help you choose the right design, determine an appropriate sample size, and select methods that will hold up to your data before you've spent months collecting it.
Results Interpretation
Software output is not the same as an academic results section. We help translate raw statistical output into clear, accurate, readable findings that connect directly back to your research questions and hypotheses.
Revision Support
If your supervisor or committee has asked for changes, we can review the existing analysis, identify exactly what needs to change, and help you revise the results section without starting from scratch.
Real Examples of the Kind of Help We Provide
To make this concrete, here are the kinds of questions and situations we regularly help with:
"I have survey data from 150 participants and three groups. I want to compare their scores, but I'm not sure if I should use ANOVA or a non-parametric alternative — my data doesn't look normally distributed."
"My supervisor said my regression model has a multicollinearity problem. I don't fully understand what that means or how to fix it."
"I've run my analysis in SPSS and have the output, but I don't know how to turn it into a results section that reads like an actual dissertation chapter."
"I'm still designing my study and want to make sure my sample size is large enough before I start collecting data."
"I have mixed-methods data — survey results plus interview transcripts — and I'm not sure how to bring both together in my findings."
"My committee asked me to add a mediation analysis I hadn't originally planned for, and I don't know where to start."
If any of this sounds familiar, this is exactly the kind of work we do.
Software & Tools We Work With
We're not tied to a single platform — we work with whatever your university requires or your research design calls for:
SPSS · R / RStudio · Stata · Excel · AMOS · NVivo · MATLAB · JASP · Minitab
If you're not sure which tool your project needs, that's a normal part of the first conversation — we'll recommend the right one for your data and your institution's expectations, not the one that's most convenient for us.
Who We Work With
We support master's students, PhD candidates, and academic researchers across a wide range of disciplines, including:
Psychology · Education · Business & Management · Economics · Public Health · Nursing & Medicine · Social Sciences · Political Science · Engineering · Environmental Studies
Whether your research is quantitative, qualitative, or mixed-methods, we can help you match the right analytical approach to your specific research questions — and if you're not yet sure which approach fits, that's something we can figure out together.
Why Researchers Across Europe Work With Us
- A real statistician, not a call center — you communicate directly with the person actually doing your analysis, from the first message to the final report
- European time zone — faster responses and communication that actually fits your working hours, wherever in Europe you're based
- Transparent, fair pricing — a clear quote before any work begins, with no hidden fees or scope creep
- Confidential by default — your dataset and research materials are never shared with or used by third parties, under any circumstances
- Support that doesn't disappear — available for follow-up questions, clarifications, and revisions through to your defense
Who Are Our Statisticians?
Our team is built around academic credibility, not outsourced freelancers. Most of our statisticians are professors and researchers at universities in Belgrade and Novi Sad, with years of experience teaching statistics, supervising graduate research, and publishing in peer-reviewed journals. That means the person analyzing your data has spent years evaluating exactly this kind of work from the other side — as a supervisor and committee member, not just as a service provider.
This academic background is part of why our clients trust the results: we know what a committee is actually looking for, because many of us sit on committees ourselves.
How the Process Works
- Tell us where you are. Share your research questions, your dataset (if you already have one), your discipline, and what stage of the process you're at — proposal, data collection, analysis, revisions, or anywhere in between.
- Get a clear quote. You'll know the price and timeline before any work starts. No surprises later.
- We do the analysis. Using the statistical methods appropriate to your research design — not a one-size-fits-all template.
- You receive a full results report. Ready to use directly in your thesis or dissertation, written in plain language alongside the statistical output.
- We stay available. For questions, clarifications, and revisions, all the way through to your defense.
Frequently Asked Questions
Which statistical test should I use for my thesis?
It depends on your research questions, the type of data you've collected (categorical, continuous, ordinal), your study design, and the number of groups or variables involved. There's rarely a single universally "correct" test without seeing the specifics of your project — this is usually the very first thing we work through together.
Can you help with data cleaning, or only the final statistical analysis?
Both, and honestly, cleaning is often where the real problems start. Missing values, coding errors, and outliers can quietly distort results if they're not addressed properly before analysis — so we treat it as a core part of the process, not an optional extra.
Do you work with both master's and PhD-level projects?
Yes. The depth, complexity, and expected rigor of the analysis is shaped by the level of your program and your institution's requirements — a master's thesis and a doctoral dissertation are held to different standards, and we adjust accordingly.
I've already run my analysis myself — can you just check it?
Yes. If you've completed your own analysis but aren't fully confident in the results, or aren't sure how to interpret and present them, we can review your work, identify any issues, and help you write it up clearly.
What happens if my supervisor asks for revisions after I submit my results chapter?
This is a completely normal part of the process, and it's one of the most common reasons students reach out to us. We can review the specific feedback, identify what actually needs to change, and help you revise the analysis or interpretation without redoing everything from scratch.
Do you only work with students in a specific country?
No — everything is done remotely, by email and video call, so your location doesn't limit anything. We work with graduate students and researchers across Europe.
Is my data kept confidential?
Yes, without exception. Your dataset, your research questions, and any materials you share are treated as strictly confidential and are never shared with, sold to, or used by any third party.
Do you only support quantitative research?
No. We support quantitative, qualitative, and mixed-methods research. If you're not sure which approach fits your study best, that's something we can help you think through as well.
What exactly do I need to send you to get started?
It depends entirely on where you are. Some students reach out with only a research question and a raw dataset. Others already have SPSS or R output, a draft results chapter, or specific supervisor feedback that needs to be addressed. There's no single "correct" starting point — we can begin from wherever your project currently stands.
How long does the analysis usually take?
It depends on the size and complexity of your dataset and the scope of the analysis — most projects fall somewhere between a few days and two weeks. You'll receive a clear time estimate as part of your initial quote, before any work begins.
Can you help me determine my sample size before I start collecting data?
Yes — and this is actually one of the most valuable times to reach out. A proper power analysis before data collection can prevent serious problems later, including a sample that turns out to be too small to detect the effects you're looking for.
What if I don't understand statistics at all and I'm worried I won't be able to explain my own results in my defense?
This comes up often, and it's a real concern — a results section you can't personally explain is a real risk at defense. Part of our process is making sure you actually understand what your results mean in plain language, not just handing you numbers to read off a slide.
Do you write the results chapter itself, or just provide the statistics?
We provide the statistical analysis, interpretation, and a full written explanation of the findings that you can use directly. How much of that becomes your final chapter text is up to you and your institution's policies on outside support.
Can you help with a specific technique like mediation analysis, structural equation modeling, or multilevel modeling?
Yes — in addition to standard techniques, we support more advanced methods including mediation and moderation analysis, structural equation modeling (SEM), multilevel/hierarchical modeling, and other approaches depending on your research design.
I have a mixed-methods project — survey data and interview transcripts. Can you help with both?
Yes. We can support the quantitative analysis of your survey data as well as help you think through how to integrate it meaningfully with your qualitative findings, rather than treating them as two separate, disconnected chapters.