Research in education and behavioral sciences often involves the use of latent variable models that are related to indicators, as well as related to covariates or outcomes. Such models are subject to interpretational confounding, which occurs when fitting the model with covariates or outcomes alters the results for the measurement model. This has…

This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…

Heterogeneity in response styles can affect the conclusions drawn from rating scale data. In particular, biased estimates can be expected if one ignores a tendency to middle categories or to extreme categories. An adjacent categories model is proposed that simultaneously models the content-related effects and the heterogeneity in response styles.…

This article presents a technique that will help teachers, researchers, and other people who use the linear regression models, especially those in education and social sciences, to understand and interpret the residuals graphics better.

Four guidelines that make tables more effective data displays are presented. The need for these guidelines and their application are illustrated with data from the National Assessment of Educational Progress (NAEP). A theoretical structure is presented to help develop test items to assess students' proficiency in extracting information from…