A Practical Guide to Variable Selection in Structural Equation Modeling by Using Regularized Multiple-Indicators, Multiple-Causes Models

Investigating Gender and Major DIF in the Iranian National University Entrance Exam Using Multiple-Indicators Multiple-Causes Structural Equation Modelling

The generalizability aspect of Construct validity, as proposed by Messick (1989), requires that a test measures the same trait across different samples from the same population. Differential Item functioning (DIF) analysis is a key component in the fairness evaluation of educational tests. University entrance exam for the candidates who seek admission into master's English programs (MEUEE) at I...

Multiple indicators, multiple causes measurement error models.

Multiple indicators, multiple causes (MIMIC) models are often employed by researchers studying the effects of an unobservable latent variable on a set of outcomes, when causes of the latent variable are observed. There are times, however, when the causes of the latent variable are not observed because measurements of the causal variable are contaminated by measurement error. The objectives of t...

Should researchers use single indicators, best indicators, or multiple indicators in structural equation models?

BACKGROUND Structural equation modeling developed as a statistical melding of path analysis and factor analysis that obscured a fundamental tension between a factor preference for multiple indicators and path modeling's openness to fewer indicators. DISCUSSION Multiple indicators hamper theory by unnecessarily restricting the number of modeled latents. Using the few best indicators - possibly...

A Brief Guide to Structural Equation Modeling

To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer’s guide to SEM. Using an example derived from theory and research on vocational psychology, the authors outline six steps in SEM: model specification, identification, data preparation and screening, estimat...

A Beginner's Guide to Structural Equation Modeling