Educational Research

Random effects models are statistical tools that help researchers analyze data gathered from people who belong to groups, such as

Multilevel regression approaches are statistical methods that analyze data organized in layers, such as students grouped inside classrooms and classrooms

Hierarchical linear modeling is a statistical method that analyzes data organized in layers, such as students nested within classrooms and

Survival analysis in education is a family of statistical methods that asks how long it takes for a particular event

Interrupted time series is a research design in which an outcome is measured many times before and many times after

Pretest posttest designs are a common way for schools and researchers to check whether a lesson, program or intervention actually

Hypothesis testing assumptions are the conditions a statistical test needs to be true before its results can be trusted. Every

Confidence interval reporting is the practice of stating a range of plausible values around an estimate, rather than presenting a

Statistical power in education describes how likely a study is to detect a real effect of a teaching method, program,

Sample size calculation is the process researchers use to decide how many participants a study needs before it begins. In