Propensity Score Methods: A Plain Guide for Educators
Propensity score methods are statistical tools that help researchers compare groups when participants were not randomly assigned to them, a
Propensity score methods are statistical tools that help researchers compare groups when participants were not randomly assigned to them, a
Latent variable modeling is a family of statistical methods that link things we can observe, such as survey answers or
Structural equation modeling basics cover a family of statistical methods that let researchers test how several variables relate to one
Rasch measurement models are a family of statistical tools that help educators decide whether test questions measure what they are
Multitrait scaling is a measurement approach that examines several related traits together, such as reading confidence, study habits and classroom
Exploratory factor analysis is a statistical method that looks for hidden patterns in a set of questionnaire items or test
Confirmatory factor analysis is a statistical method that checks whether a set of survey items or test questions measures the
Factor analysis basics are the starting point for anyone who wants to know whether a set of survey questions or
Measurement invariance testing is a set of statistical checks that asks whether a survey or test measures the same thing
Internal consistency reliability describes how closely the items on a test or survey agree with one another when they are