Educational Research

Transformations for analysis are mathematical changes applied to a variable before statistical tests are run, and they help researchers meet

Homogeneity of variance is a statistical assumption that the spread of scores is roughly equal across the groups being compared

Normality assessment is the process of checking whether a set of scores follows a roughly bell-shaped pattern before running certain

Collinearity diagnostics are a set of statistical checks that reveal when two or more predictor variables in a regression model

Assumption checking is a step researchers take before running a statistical test to confirm that the data meet the conditions

Outlier detection methods are systematic procedures researchers use to find data points that sit far outside the pattern of the

Data cleaning workflows are the planned, repeatable steps researchers use to check, correct and organize raw information before any analysis

Codebook development is the process of writing a clear, shared set of rules that explain how each piece of research

Data coding conventions are the agreed rules a research team uses to label, name and record information in a dataset.

Secure data transfer refers to the practice of moving information from one place to another in a way that keeps