Statistical & Research Analysis Services
Deadline pressing? Statistics section stuck? Let’s fix that.
From a first t-test to full-scale psychometric validation, we handle the statistics side of your thesis, dissertation, or publication — accurately, transparently, and in a way you can stand behind at your defense.
A full statistical toolkit, not just three checkboxes
Descriptive & Inferential Statistics
The core toolkit for most thesis chapters and journal submissions — cleaned data, the right test for your design, and output you can actually explain.
- Descriptive statistics & data cleaning
- Independent & paired-samples t-tests
- ANOVA, MANOVA & ANCOVA
- Non-parametric tests (Mann–Whitney, Kruskal–Wallis, Chi-square)
- Correlation & multiple regression
- A priori power analysis & sample size (G*Power)
Scale Development & Validation
For researchers building, adapting, or validating a psychological measure — from first reliability check to full construct validation.
- Reliability analysis (Cronbach’s alpha, McDonald’s omega)
- Exploratory Factor Analysis (EFA)
- Confirmatory Factor Analysis (CFA)
- Construct & criterion validity testing
- Cross-cultural scale translation & adaptation
- Item-level analysis & item response theory (on request)
Advanced Modeling & Scripting
For dissertations, publications, and grant-level work that needs modeling beyond a standard regression.
- Mediation & moderation analysis (Hayes PROCESS Macro)
- Structural Equation Modeling (SEM)
- Hierarchical Linear Modeling (HLM) & multilevel models
- Path analysis
- Longitudinal & repeated-measures modeling
- Custom R scripting & workflow automation
What you get, every time
APA 7th-edition result tables & figures
Publication-ready tables and high-resolution ggplot2 figures, formatted to APA 7th edition specifications and ready to drop into your manuscript.
Annotated, reproducible code
Fully commented .R scripts or .sps syntax files — nothing runs in a black box. You keep every line, and can re-run or extend the analysis yourself.
Plain-English interpretation report
A companion write-up explaining what each result actually means for your hypotheses, your thesis narrative, or your paper’s discussion section.
Optional 1-on-1 defense walkthrough
A live session to prepare you for your viva or thesis defense — anticipating committee questions and making sure you can explain every number with confidence.
How it works
Initial Submission & Scope Review
Share your dataset, research questions, and study design through the form below. We review it and confirm exactly what the analysis will involve.
Custom Proposal & Transparent Quote
You receive a written proposal covering the tests to be run, software used, timeline, and a fixed quote — no surprise charges once work begins.
Analysis Execution & Code Validation
The analysis is run and independently checked for accuracy before anything is sent to you — assumptions tested, output verified, code cleaned.
Final Delivery & Defense Preparation
You receive your full deliverable package, plus — if you’d like it — a walkthrough session to prepare you to defend the results yourself.
Analysis is handled directly by Muhammad Sohail, whose own published research covers scale development and psychometric validation, working alongside Sehar Waheed — the same clinicians behind our therapy and corporate wellbeing services.
Frequently asked questions
Will I get the raw software code/syntax?
Yes, always. Every project includes the fully annotated .R script or .sps syntax file behind your results, so you have a complete, reproducible record of exactly how each number was produced.
What if my advisor/supervisor requests modifications to the analysis?
Reasonable revisions requested by your supervisor or committee following delivery are covered within the project scope. We’ll re-run or adjust the relevant analysis and update your deliverables accordingly.
How do you ensure my data remains confidential?
Your dataset is used solely for the agreed analysis, handled by the assigned analyst only, and never shared, published, or reused. Files are stored securely and deleted after an agreed retention period, and a confidentiality agreement is available on request.
Can you help me understand the results so I can defend them?
That’s the point of the plain-English report and the optional walkthrough session — both are built specifically so you can explain and defend every result in your own words during your viva or committee review.
Is this compatible with my university’s academic integrity policy?
Yes. We work as a statistical consultant, not a ghostwriter — analyzing data and explaining methodology and results, while you retain ownership of your research questions, interpretation, and written thesis. See our ethics statement above for more detail.
How long does a typical project take?
The turnaround time depends on the depth of the analysis and the scope of the research, but projects are typically completed within 1–2 weeks. Timeline details can always be mutually decided to fit your specific academic deadline. Additionally, research writing support can be provided for an extra charge depending on the requirements of your project.
Ready to stop guessing at your statistics?
Tell us about your research and we’ll get back to you with a free, no-obligation dataset review and quote.
We typically respond within one business day with next steps and a transparent quote.