Research Reporting
APA 7 Statistical Tables: Examples for t Tests, ANOVA, Correlation, and Regression
Turn statistical output into clear APA 7 tables with the right titles, notes, precision, and reporting conventions.
Read articleEvidence into action
Statistics you can use with confidence.
Practical guidance for choosing methods, validating results, and turning analysis into clear research communication.
Guided learning paths
Explore topic collections
Move from the core question to focused guidance and the corresponding DataStatPro workflow.
Statistical MethodsStart with the research question, outcome type, study design, and dependence structure. Then choose a method that estimates the quantity you need and report its uncertainty and effect size.Explore 3 guides →Sample Size and Study DesignA defensible sample size follows from the primary hypothesis, statistical model, effect-size definition, alpha, power, allocation, design effects, and expected loss to follow-up.Explore 2 guides →Statistical SoftwareChoose statistical software by matching the required methods, reproducibility needs, device access, reporting workflow, institutional support, budget, and available learning time.Explore 2 guides →ForecastingA credible forecast preserves time order, validates on future observations, compares against simple benchmarks, diagnoses residuals, and reports prediction intervals at the operational horizon.Explore 1 guides →Quality ImprovementUse quality tools according to the question: organize possible causes with a fishbone diagram, prioritize measured categories with Pareto analysis, and assess process stability with a control chart.Explore 1 guides →Research Reporting and ValidationStrong statistical reporting connects estimates, uncertainty, effect sizes, assumptions, and study limitations to the research question in a format readers can inspect and reproduce.Explore 3 guides →
From the editorial desk
Latest practical guides
Built around real decisions researchers face, from planning a sample to reporting the final result.
Software Guides
How to Use SPSS Workflows on Android, iPad, or Chromebook
You can run many common SPSS-style analyses from a modern browser, even when a desktop SPSS installation is unavailable.
Read articleAI & Statistics
AI Statistical Analysis: What AI Can Do, What It Gets Wrong, and What You Must Check
AI can accelerate statistical work, but trustworthy results still require a transparent validation trail.
Read articleStudy Design
Why Sample Size Calculators Give Different Answers and Which Result to Trust
Different sample-size answers usually reflect different assumptions. Learn how to find the setting that changed the result.
Read articleResearch Reporting
How to Report p Values, Confidence Intervals, and Effect Sizes in APA 7
Report statistical significance, uncertainty, and practical magnitude together so readers can evaluate the full result.
Read articleStatistical Methods
Eta Squared vs Partial Eta Squared: Which Effect Size Should You Report?
Eta squared and partial eta squared use different denominators, so the same ANOVA can produce different values.
Read articleStatistical Methods
Confidence Intervals for Proportions: Wald, Wilson, and Exact Methods
The familiar Wald interval can perform poorly with small samples or proportions near zero or one.
Read articleStatistical Methods
Which Statistical Test Should I Use? A Practical Decision Guide
Start with the research question and study design, then use variable type and data structure to narrow the method.
Read articleSoftware Guides
SPSS vs R vs jamovi vs DataStatPro for a Thesis or Dissertation
The best statistics software is the one that supports your required methods, produces defensible output, and fits your time, budget, and coding experience.
Read articleStudy Design
Repeated-Measures ANOVA Sample Size: Inputs, Examples, and Pitfalls
Repeated-measures sample size depends on more than the number of groups. Correlation, sphericity, interaction targets, and dropout can materially change the result.
Read articleForecasting
ARIMA Forecasting Checklist: Steps, Diagnostics, and Common Mistakes
A credible ARIMA forecast needs a time-ordered validation design, justified transformations and differencing, residual checks, and uncertainty intervals.
Read articleQuality Improvement
Fishbone vs Pareto vs Control Chart: Which Root-Cause Tool Should You Use?
Fishbone diagrams organize possible causes, Pareto charts prioritize measured categories, and control charts distinguish routine variation from unusual signals.
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