textConfirmatory factor analysis (CFA) models test the plausibility of latent constructs hypothesized to account for relations among observed variables. CFA models can be used to model both hierarchical data structures as a result of cluster sampling designs and investigate the plausibility of latent classes or unobserved classes of individuals. Recent research has suggested preliminary evidence on the accuracy of typical fit indices (AIC, BIC, aBIC, LMR aLRT) among various single-level latent class models, multilevel latent class models that correct for biased standard error estimates as a result of nested data, and growth mixture models (Clark & Muthén, 2007; Nylund et al., 2006, Tofighi & Enders, 2006). But few, if any, researche...
This dissertation informed researchers about the performance of different levelspecific and target-s...
Heterogeneity in measurement model parameters across known groups can be modeled and tested using mu...
Latent class methodology has been used extensively in market research. In this approach, segment mem...
textConfirmatory factor analysis (CFA) models test the plausibility of latent constructs hypothesiz...
<p>Note: CFA = Confirmatory Factor Analysis; AIC = Akaike Information Criteria; BIC = Bayesian Infor...
This study examined the performance of various model fit indices in the context of multilevel confir...
This simulation study examines the performance of fit indices commonly used by applied researchers i...
textSocial science researchers are increasingly using multi-group confirmatory factor analysis (MG-C...
Latent profile analysis (LPA) and factor mixture modeling (FMM) are frequently used approaches to de...
Taxometric and latent variable mixture models can aid in (1) determining whether the source of popul...
This Monte Carlo simulation study examined the performance of the most commonly used fit indices in ...
<p>Note<i>:</i> BIC = Bayesian information criterion (smaller values indicate better model fit). Ent...
The purpose of this study is to evaluate the performance of three commonly used model fit indices wh...
Social scientists and researchers frequently use latent variable models to analyze the relationships...
This dissertation examines the sensitivity of six fit indices in detecting various types of misspeci...
This dissertation informed researchers about the performance of different levelspecific and target-s...
Heterogeneity in measurement model parameters across known groups can be modeled and tested using mu...
Latent class methodology has been used extensively in market research. In this approach, segment mem...
textConfirmatory factor analysis (CFA) models test the plausibility of latent constructs hypothesiz...
<p>Note: CFA = Confirmatory Factor Analysis; AIC = Akaike Information Criteria; BIC = Bayesian Infor...
This study examined the performance of various model fit indices in the context of multilevel confir...
This simulation study examines the performance of fit indices commonly used by applied researchers i...
textSocial science researchers are increasingly using multi-group confirmatory factor analysis (MG-C...
Latent profile analysis (LPA) and factor mixture modeling (FMM) are frequently used approaches to de...
Taxometric and latent variable mixture models can aid in (1) determining whether the source of popul...
This Monte Carlo simulation study examined the performance of the most commonly used fit indices in ...
<p>Note<i>:</i> BIC = Bayesian information criterion (smaller values indicate better model fit). Ent...
The purpose of this study is to evaluate the performance of three commonly used model fit indices wh...
Social scientists and researchers frequently use latent variable models to analyze the relationships...
This dissertation examines the sensitivity of six fit indices in detecting various types of misspeci...
This dissertation informed researchers about the performance of different levelspecific and target-s...
Heterogeneity in measurement model parameters across known groups can be modeled and tested using mu...
Latent class methodology has been used extensively in market research. In this approach, segment mem...