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Analyze another fileIdentifies and quantifies student achievement gaps across demographic groups using Cohen d effect sizes, Kruskal-Wallis tests, and Dunn pairwise comparisons on standardized test scores in math, reading, and writing
Use when you have standardized test score data with demographic variables and want to identify which groups show the largest achievement gaps
Do not use if you lack demographic grouping variables or if scores are not on comparable scales
Built for: School district data analysts, directors of assessment and accountability, institutional researchers, education policy analysts, and school principals evaluating equity initiatives
Typical data source: Standardized test score records with student demographic fields such as gender, race/ethnicity, parental education level, and socioeconomic indicators
1000 student records with gender, race/ethnicity group, parental education level, lunch program type, test preparation course status, and math/reading/writing scores 0-100
Minimum 50 rows
Analyzes standardized test scores (math, reading, writing) across demographic groups to surface statistically significant achievement gaps and their effect sizes
Score distributions by gender across math, reading, and writing
Mean score differences and Cohen d effect sizes between male and female students
Mean scores by race/ethnicity group across all three subjects
Monotonic relationship between parental education level and student scores
Score gains from test preparation course completion by subject
Cohen d effect sizes across demographic group and subject combinations
Statistically significant pairwise group comparisons with effect sizes
Performance gap between standard and free/reduced lunch SES groups
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? T Test — When you only need to compare two groups (e.g., male vs. female) on a single outcome -- no multi-group breakdowns or effect size heatmaps needed
Need more power? Did — When you have before-and-after data and want to estimate the causal effect of an intervention (like a new curriculum) on closing performance gaps, controlling for pre-existing differences
Similar: Anova, Kruskal Wallis, Ancova
Which demographic groups show the largest achievement gaps in math vs reading?
Which demographic groups show the largest achievement gaps in math vs reading?
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
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