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1also available:Exemplare Uni Bonn from 1994
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2by Kline, Rex B“...The revised guide to the application, interpretation, and pitfalls of structural equation modeling (SEM...”
2004
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5“...This article discusses alternatives to single-step mixture modeling. A 3-step method for latent class predictor variables is studied in several different...”
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6by Morin, Alexandre J. S Arens, A. Katrin Marsh, Herbert W Published in Structural equation modeling (02.01.2016)“... The first source is identified by comparing confirmatory factor analytic (CFA) and exploratory structural equation modeling (ESEM) solutions...”
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7by Morin, Alexandre J. S Boudrias, Jean-Sébastien Marsh, Herbert W Madore, Isabelle Desrumaux, Pascale Published in Structural equation modeling (03.05.2016)“...Morin and Marsh (2015) proposed a methodological framework to disentangle shape and level effects in latent profile analyses. We discuss limitations of this...”
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8by Bakk, Zsuzsa Oberski, Daniel L Vermunt, Jeroen K Published in Structural equation modeling (03.03.2016)“...Latent class analysis often aims to relate the classes to continuous external consequences ("distal outcomes"), but estimating such relationships necessitates...”
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9“... By reducing the effort required for large-scale studies, a broad goal of is to support methodological developments in structural equation modeling using ...”
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10“...Recently, several bias-adjusted stepwise approaches to latent class modeling with continuous distal outcomes have been proposed in the literature and...”
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11by Tein, Jenn-Yun Coxe, Stefany Cham, Heining Published in Structural equation modeling (01.10.2013)“...Little research has examined factors influencing statistical power to detect the correct number of latent classes using latent profile analysis (LPA). This...”
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12by DiStefano, Christine Liu, Jin Jiang, Ning Shi, Dexin Published in Structural equation modeling (04.05.2018)“...Structural equation modeling (SEM) techniques are extremely popular statistical methods widely used across many applied disciplines. An advantage of SEM...”
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13by Asparouhov, Tihomir Hamaker, Ellen L Muthén, Bengt Published in Structural equation modeling (04.05.2018)“...This article presents dynamic structural equation modeling (DSEM), which can be used to study the evolution of observed and latent variables as well as the structural equation models over time...”
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14by van de Schoot, Rens Sijbrandij, Marit Winter, Sonja D Depaoli, Sarah Vermunt, Jeroen K Published in Structural equation modeling (04.05.2017)“...Estimating models within the mixture model framework, like latent growth mixture modeling (LGMM) or latent class growth analysis (LCGA), involves making...”
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15by Lanza, Stephanie T Coffman, Donna L Xu, Shu Published in Structural equation modeling (01.07.2013)“...The integration of modern methods for causal inference with latent class analysis (LCA) allows social, behavioral, and health researchers to address important...”
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16by Lanza, Stephanie T Tan, Xianming Bray, Bethany C Published in Structural equation modeling (01.01.2013)“...Although prediction of class membership from observed variables in latent class analysis is well understood, predicting an observed distal outcome from latent...”
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17“...Introduction The latent variable measurement specification in structural equation modeling (SEM; Bollen, 1989; Browne & Arminger, 1995; Jöreskog & Sorbom, 1979...”
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18“...This article presents a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used...”
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19by Nylund, Karen L Asparouhov, Tihomir Muthén, Bengt O Published in Structural equation modeling (23.10.2007)“...Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in...”
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20by McNeish, Daniel Published in Structural equation modeling (02.09.2016)“...As Bayesian methods continue to grow in accessibility and popularity, more empirical studies are turning to Bayesian methods to model small sample data...”