Educational Research

Power analysis fundamentals describe the core ideas researchers use to decide how many participants a study needs before it begins.

Effect size interpretation is the process of deciding whether a difference found in a study is large enough to matter

Sensitivity analysis basics refer to the set of methods researchers use to test how much their conclusions depend on the

Multiple imputation methods are statistical techniques that estimate missing values in a dataset several times, then combine the results into

Missing data imputation is a set of statistical techniques for estimating values that were not recorded in a dataset, so

Attrition bias handling refers to the set of methods researchers use when participants leave a study before it ends, and

Selection bias mitigation refers to the set of planning, design, and analysis steps researchers use to reduce the distortion that

Regression discontinuity designs are a research method that estimates the effect of a program or policy by comparing people who

Instrumental variable methods are statistical tools that help researchers estimate cause and effect when a simple comparison would be misleading.

Matching techniques are statistical and design methods that pair participants so that treatment and comparison groups look alike on important