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ANCOVA In Minutes

Compare treatment groups controlling for baseline covariates. Free.

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Running ancova treatment effect analysis analysis...

Running ancova treatment effect analysis analysis...

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Sample Output

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How it works

Compares treatment group outcomes while controlling for baseline covariates using ANCOVA. Tests whether the treatment effect remains after accounting for confounding variables like age or pre-treatment scores.

Use this when comparing treatment groups and you have baseline covariates that could confound the comparison.

If you have no covariates, use ANOVA. If you're testing pay equity (not treatments), use Compensation Equity.

Built for: Clinical researcher, program evaluator, health economist, policy analyst

Typical data source: Treatment/control group data with outcome measurements and baseline covariates

healthcareresearcheducationpolicy

What data do you need?

Treatment study data with covariates

outcome_score (numeric) treatment_group (categorical) baseline_score (numeric)
72 CBT 55
85 Medication 60
68 Control 52

Minimum 30 rows · Best with 100-1000 participants

What's in the report?

Compare treatment group outcomes while controlling for baseline covariates using Analysis of Covariance. Test whether therapy types differ in effectiveness after adjusting for patient age, baseline severity, and sleep quality.

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Adjusted Marginal Means

Estimated marginal means by treatment group with confidence intervals

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ANCOVA Results Table

Complete ANCOVA table with F-tests and effect sizes

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Pairwise Comparisons

Tukey-adjusted pairwise group comparisons with effect estimates

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Linearity Assumption Check

Covariate-outcome scatterplot with regression lines by group

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Normality Diagnostic (QQ Plot)

QQ plot of ANCOVA residuals for normality assessment

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Covariate Contributions

Individual covariate effects and their contribution to the model

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Diagnostics Summary

Assumption test results: slope homogeneity, normality, homoscedasticity

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

Related tools

Need something simpler? Anova — No covariates to control for

Need more power? Elastic Net — Many predictors and need feature selection

Similar: Efficacy Comparison

Questions?

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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