Adequate statistical power contributes to observing true relationships in a dataset. With a
thoughtful power analysis, the adequate but not excessive sample could be detected …

Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and
structural equation modeling (SEM) have long histories in clinical research. Although CFA …

Despite the widespread and rising popularity of structural equation modeling (SEM) in
psychology, there is still much confusion surrounding how to choose an appropriate sample …

This commentary provides a brief mathematical review of exploratory factor analysis, the
common factor model, and principal components analysis. Details and recommendations …

This study investigated the effect the number of observed variables (p) has on three
structural equation modeling indices: the comparative fit index (CFI), the Tucker–Lewis index …

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

In confirmatory factor analysis (CFA), the use of maximum likelihood (ML) assumes that the
observed indicators follow a continuous and multivariate normal distribution, which is not …

The role of CEO transformational leadership and innovation climate in exploration and
exploitation | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Body image research has grown rapidly to include new cultural and linguistic populations,
but this gives rise to a need for measurement instruments that are sensitive to local …

Questionnaires are a widely used research method in human resource management (HRM),
and multi‐item psychometric scales are the most widely used measures in questionnaires …