Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis
We provide a basic review of the data screening and assumption testing issues relevant to
exploratory and confirmatory factor analysis along with practical advice for conducting …
exploratory and confirmatory factor analysis along with practical advice for conducting …
The structure of counterproductive work behavior: A review, a structural meta-analysis, and a primary study
Although counterproductive work behavior (CWB) has long been established as a broad
domain of job behaviors, little agreement exists about its internal structure. The present …
domain of job behaviors, little agreement exists about its internal structure. The present …
Why ordinal variables can (almost) always be treated as continuous variables: Clarifying assumptions of robust continuous and ordinal factor analysis estimation …
A Robitzsch - Frontiers in education, 2020 - frontiersin.org
The analysis of factor structures is one of the most critical psychometric applications.
Frequently, variables (ie, items or indicators) resulting from questionnaires using ordinal …
Frequently, variables (ie, items or indicators) resulting from questionnaires using ordinal …
RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods
In structural equation modeling, application of the root mean square error of approximation
(RMSEA), comparative fit index (CFI), and Tucker–Lewis index (TLI) highly relies on the …
(RMSEA), comparative fit index (CFI), and Tucker–Lewis index (TLI) highly relies on the …
The dark core of personality.
Many negatively connoted personality traits (often termed “dark traits”) have been introduced
to account for ethically, morally, and socially questionable behavior. Herein, we provide a …
to account for ethically, morally, and socially questionable behavior. Herein, we provide a …
Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares
CH Li - Behavior research methods, 2016 - Springer
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 …
observed indicators follow a continuous and multivariate normal distribution, which is not …
The effect of estimation methods on SEM fit indices
We examined the effect of estimation methods, maximum likelihood (ML), unweighted least
squares (ULS), and diagonally weighted least squares (DWLS), on three population SEM …
squares (ULS), and diagonally weighted least squares (DWLS), on three population SEM …
Examination of the weighted root mean square residual: Evidence for trustworthiness?
This study examined the performance of the weighted root mean square residual (WRMR)
through a simulation study using confirmatory factor analysis with ordinal data. Values and …
through a simulation study using confirmatory factor analysis with ordinal data. Values and …
The performance of ML, DWLS, and ULS estimation with robust corrections in structural equation models with ordinal variables.
CH Li - Psychological methods, 2016 - psycnet.apa.org
Three estimation methods with robust corrections—maximum likelihood (ML) using the
sample covariance matrix, unweighted least squares (ULS) using a polychoric correlation …
sample covariance matrix, unweighted least squares (ULS) using a polychoric correlation …
[BOK][B] Longitudinal structural equation modeling: A comprehensive introduction
JT Newsom - 2023 - taylorfrancis.com
Longitudinal Structural Equation Modeling is a comprehensive resource that reviews
structural equation modeling (SEM) strategies for longitudinal data to help readers …
structural equation modeling (SEM) strategies for longitudinal data to help readers …