Guides & Resources

From test selection to sample size calculation to real-world case walkthroughs — all our guides and service pages in one place.

Guides & Examples

Finding a Statistician
Did your advisor ask for a statistician? Where to find one for a thesis or article, what to look for, what to ask, and how pricing works — a practical guide.
Which Statistical Test?
A guide to choosing the right statistical test: decision tables by data type, group count and distribution — t-tests, ANOVA, chi-square, correlation, regression.
Sample Size Calculation
Sample size and power analysis calculation for theses and ethics applications: required inputs, G*Power, common mistakes and ready-to-paste justification text.
Health Sciences Case Examples
How does statistical analysis unfold in medicine, dentistry, nursing and psychology? Five example processes: specialty thesis, scale study, ROC analysis, reviewer revision.
Statistical Analysis Pricing
What does thesis statistical analysis cost in 2026? Market averages, how to find affordable analysis, free revisions and research-friendly pricing explained.
Reporting Statistical Results
How to write p-values, report effect sizes, and structure a results section — an APA reporting guide with copy-ready examples for every common test.
Services Compared
Freelance statistician, thesis/consulting firm, university unit, DIY, or GetBayes? An objective comparison of statistical analysis options for thesis and journal work on speed, price transparency, revisions and reporting.
Why GetBayes?
Why GetBayes? A hassle-free process, same-day delivery, free revisions, a price fixed up front, and an approach that tidies your data with you instead of sending it back. Here's our difference and how we work.
Can AI Do Your Statistics?
Can ChatGPT, Claude or Gemini do your statistical analysis? An honest review of what AI genuinely does well in thesis and journal statistics, where it still fails, and why expert verification is still essential.
Interpreting Regression Results
How do you read R², adjusted R², standardized beta, p-values and VIF in a regression output? A step-by-step interpretation guide with an APA-style example sentence.
Q1 Surgical Journal Success Story
A manuscript GetBayes analyzed was accepted by a Q1 (SCIE)-indexed surgical journal without a single reviewer revision request on the statistical methodology. How the process worked, and why.
Scale Reliability Analysis
Why reliability analysis is mandatory for survey and scale studies, how to interpret Cronbach's alpha, and the mistakes to avoid — a step-by-step guide.
Sample Report
See what a GetBayes report looks like before you send your data: a sample executive summary, tables, effect sizes and discussion section, built from fictional data.
How an Analysis Project Unfolds
What actually happens after you send your data? A fictional physiotherapy reliability study, walked through step by step: data audit, analysis plan, reporting, revisions.
Testing for Normality
When to use Shapiro-Wilk and when to use Kolmogorov-Smirnov, how to read skewness and kurtosis, and a decision table for switching to non-parametric tests.
Factor Analysis (EFA & CFA)
Exploratory and confirmatory factor analysis explained: KMO and Bartlett prerequisites, sample size rules, factor loading and cross-loading criteria, and a CFA fit index threshold table (RMSEA, CFI, SRMR).
Mediation & Moderation Analysis
How to run mediation and moderation analysis: indirect effects, bootstrap confidence intervals, interaction terms and simple slopes, Johnson-Neyman, a model-number table, and why Baron-Kenny and the Sobel test fall short.
ANCOVA & Pretest-Posttest
How to analyse a pretest-posttest control group design with ANCOVA: choosing covariates, the homogeneity of regression slopes assumption, adjusted means, partial eta squared, and why gain scores fall short.

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GetBayes: a dynamic team of data analysis experts providing statistical analysis for academic research. Why we do this work, how we work, and what makes us different.