I will do statistical analysis in SPSS, R or Python for your thesis

I will run the full statistical analysis for your thesis or dissertation in SPSS, R, or Python, then explain every result in plain language you can defend.

What you get

You hand me your dataset and research questions; I hand back a clean, reproducible analysis and a write-up you can drop straight into your results chapter. Concretely, every order includes:

• A cleaned, analysis-ready dataset with documented handling of missing values, outliers, recoded variables, reverse-scored items, and any computed scales or indices.
• The actual analysis run in your chosen tool: an annotated SPSS .sav plus syntax (.sps) and output (.spv/exported), an R script (.R/.Rmd) with a knitted report, or a commented Python notebook (.ipynb) using pandas, statsmodels, scipy, and pingouin.
• APA-formatted tables and figures, ready to paste: descriptives, correlation matrices, regression/ANOVA tables, model-fit indices, and publication-quality charts (boxplots, scatterplots with fit lines, bar charts with error bars, forest/coefficient plots).
• A results narrative written in APA (7th ed.) style, reporting exact statistics, degrees of freedom, p-values, effect sizes, and confidence intervals, with the correct sentence framing for "supported" or "not supported" hypotheses.
• Assumption checks done properly and reported: normality (Shapiro-Wilk, Q-Q plots), homogeneity of variance (Levene's), multicollinearity (VIF/tolerance), linearity, independence, and homoscedasticity, with the corrective action taken when an assumption fails.
• A plain-language interpretation of what each finding means for your research questions, plus notes on limitations you can put in your discussion chapter.

Plans

Feature	Basic	Standard	Premium
Descriptive statistics & data cleaning	Yes	Yes	Yes
Tests included	One main test (t-test, correlation, chi-square, or one-way ANOVA)	Up to one full set of hypotheses (regression, ANOVA/ANCOVA, reliability)	Complex/advanced modeling (multiple/logistic/hierarchical regression, factor analysis, SEM, mediation/moderation, mixed models)
Assumption checks	Core checks	Full checks + corrections	Full checks + advanced diagnostics
APA tables & figures	Basic	Full set	Full set + custom visuals
Results write-up	Short summary	Full results section	Full results + discussion support
Reproducible syntax/script/notebook	Yes	Yes	Yes
Revisions	1	2	Unlimited within scope
Live walkthrough call	—	Optional	Included

How it works

1. You share the details. Send your dataset (.sav, .csv, .xlsx, or similar), your research questions and hypotheses, and any supervisor or university formatting requirements. If you only have raw survey exports, that's fine, I'll structure them.
2. I scope and confirm. I review the data and your questions, then confirm exactly which tests fit, which plan covers them, and the deliverable timeline, before any work starts, so there are no surprises.
3. Cleaning and preparation. I clean, recode, and prepare the data, documenting every decision so it is fully transparent and defensible.
4. Analysis and assumption testing. I run the agreed tests in SPSS, R, or Python, check all relevant assumptions, and apply appropriate corrections or alternative tests if an assumption is violated.
5. Write-up and visuals. I produce APA tables, figures, and a results narrative that states each finding in correct statistical language.
6. Delivery and walkthrough. You receive all files plus a clear explanation of what was done and why. On Standard and Premium, we can review it together so you fully understand it.
7. Revisions. If your supervisor requests changes within the agreed scope, I revise according to your plan's revision allowance.

Why choose this

I focus specifically on student and academic statistics, so I know what thesis committees and journal reviewers actually look for. You get analysis that is not just "run," but correct, justified, and explained. I report effect sizes and confidence intervals, not only p-values, because modern APA reporting and good science require them. Everything is reproducible: you receive the syntax, script, or notebook, so you (or your supervisor) can re-run it and verify it line by line. I keep the statistics honest, if a result is non-significant or a model fits poorly, I tell you and help you frame it properly rather than hiding it. Communication is direct and I confirm scope up front so you always know what you're getting.

Who it's for / use cases

• Master's and PhD students completing a thesis or dissertation results chapter.
• Undergraduates with a final-year research project who need accurate analysis and clear interpretation.
• Researchers preparing a manuscript for journal submission who need clean models, diagnostics, and APA tables.
• Anyone who collected survey or experimental data and needs help with reliability analysis (Cronbach's alpha), factor analysis, group comparisons, regression, or mediation/moderation.
• Students who ran analyses themselves but want a careful second pair of eyes to validate assumptions, effect sizes, and reporting before submission.

FAQ

Q: Will you write my whole thesis for me? No. I deliver the statistical analysis, results tables, figures, and a results-section write-up plus interpretation. The framing of your study, your literature review, and your final discussion are yours to author, though I support the statistical parts of the discussion.

Q: Which tool should I pick, SPSS, R, or Python? Whichever your program expects or you're comfortable maintaining. SPSS is common in social sciences and easiest to hand off; R and Python are better for advanced or fully reproducible workflows. Tell me your situation and I'll recommend the best fit.

Q: My data is messy, with missing values and odd survey exports. Is that a problem? Not at all. Data cleaning and preparation are included in every plan, and I document exactly how missing data and outliers were handled so it's defensible.

Q: Can you do advanced methods like SEM, factor analysis, or multilevel models? Yes, those fall under the Premium tier. Send me your model and I'll confirm feasibility and the appropriate approach before we begin.

Q: Will I be able to understand and defend the results? That's a core goal. I write in plain language, explain each test and why it was chosen, and on Standard and Premium we can walk through it on a call so you can answer your committee's questions confidently.

Q: What if my supervisor asks for changes after delivery? Each plan includes revisions (1 for Basic, 2 for Standard, unlimited within scope for Premium). Changes that fall within the originally agreed analysis are covered; substantially new tests would be a new scope we'd agree on.

Q: Is my data kept confidential? Yes. Your dataset and research are treated as private and used only to complete your analysis. I'm happy to delete all files after delivery on request.

Q: How should I send my data and requirements? Share your dataset (.sav, .csv, .xlsx, etc.), your research questions and hypotheses, and any university or APA formatting rules. The more context you give up front, the more precisely I can scope and deliver the analysis.