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Statistical Analysis

For researchers choosing an analysis, working with repeated or clustered observations, or interpreting model results. Explore mixed models, pre/post comparisons, logistic regression, and interactions, then use the free analysis-planning worksheet to connect your question, data structure, and intended comparison.

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All articles Statistical Analysis Survey Design & Measurement Study Design Program Evaluation AI Evaluation Statistical Consulting Data Literacy

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Statistical Analysis

How to Interpret Logistic Regression Results

3 min read

An odds ratio is not a probability ratio. Translate binary-outcome models into clear, defensible statements about the outcome and comparison you studied.

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Statistical Analysis

How to Interpret Interaction Effects in Regression

4 min read

An interaction asks whether one association changes with another variable. Read the coefficients in context and report the comparison your research question needs.

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Statistical Analysis

Mixed Models vs. Repeated-Measures ANOVA: Which Should You Use?

4 min read

Repeated-measures ANOVA can fit a simple balanced study. Missing visits, unequal timing, and additional clustering need a more deliberate model—and a clearly defined comparison.

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Statistical Analysis

How to Analyze Pre/Post Data With a Comparison Group

4 min read

Change scores, ANCOVA, and longitudinal models answer related but different questions. Start with the assignment design and the comparison you intend to estimate.

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Study DesignStatistical Analysis

Why Bayesian Methods Are Often the Better Fit for Small Samples

2 min read

Standard frequentist tests lean on large-sample approximations that a 15-person pilot doesn't have. Bayesian methods don't need that assumption — here's what changes, and what doesn't.

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Study DesignStatistical Analysis

How to Respond When a Reviewer Challenges Your Statistical Model

2 min read

A reviewer questioning your model isn't automatically a rejection. It's a request for evidence — and how you respond matters more than whether the original model was perfect.

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Study DesignStatistical Analysis

FIML vs. Multiple Imputation: Which Missing-Data Method Should You Use?

2 min read

Both handle missing data under the same core assumption, but they work differently and fit different situations. Here's how to decide which one your analysis actually needs.

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Study DesignStatistical Analysis

What Belongs in a Statistical Analysis Plan?

2 min read

A statistical analysis plan written before you see the data is one of the cheapest ways to protect a study's credibility — and reviewers, funders, and IRBs increasingly expect to see one.

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Statistical Analysis

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