Conducting a power analysis can be challenging for researchers who plan to analyze their
data using structural equation models (SEMs), particularly when Monte Carlo methods are …

Background Conspiracy theories about the origins of COVID‐19 are widespread and have
even been propagated by highly ranked state officials and politicians in the US. Health …

Mediation analyses abound in social and personality psychology. Current recommendations
for assessing power and sample size in mediation models include using a Monte Carlo …

Power analysis is an important tool to use when planning studies. This contribution aims to
remind read-ers what power analysis is, emphasize why it matters, and articulate when and …

This contribution in the “Best (but Oft-Forgotten) Practices” series considers mediation
analysis. A mediator (sometimes referred to as an intermediate variable, surrogate endpoint …

When designing a study for causal mediation analysis, it is crucial to conduct a power
analysis to determine the sample size required to detect the causal mediation effects with …

Mediation models have been widely used in many disciplines to better understand the
underlying processes between independent and dependent variables. Despite their …

The random intercept cross-lagged panel model (RI-CLPM) is a popular model among
psychologists for studying reciprocal effects in longitudinal panel data. Although various …

The new edition of An Introduction to Statistical Concepts is designed to help students really
understand statistical concepts, the situations in which they can be used, and how to apply …

In recent years, the popularity of procedures for collecting intensive longitudinal data, such
as the experience-sampling method, has increased greatly. The data collected using such …