Latent Gold 4.0 User's Guide

By Jeroen K. Vermunt, Jay Magidson. 2005

547 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/68919c990c7a5527ddb17b1f117d30a8fca0e3fd

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Citations in the corpus

Latent Class Analysis: An Alternative Perspective on Subgroup Analysis in Prevention and Treatment (2013, methodology): “2010a) for conducting LCA within the SAS environment, and the stand-alone programs Latent Gold (Vermunt and Magidson 2005), PANMARK (Van de Pol et al.”
Introduction to Latent Class Analysis With Applications (2017, methodology): “Contrary to these command language driven packages, Latent GOLD provides a Graphical User Interface—GUI (i.e., SPSS-like)—that is especially developed for LCA (for a detailed introduction to Latent GOLD, see Vermunt & Magidson, 2005a, 2005b).”
Cut‐off points for mild, moderate, and severe pain on the visual analogue scale for pain in patients with chronic musculoskeletal pain (2014, methodology): “In comparing different models for the same data, models with lower values for these indices are preferable [25].”
Student Perceptions of School Climate as Predictors of Office Discipline Referrals (2016, methodology): “Each model successively increased the number of possible classes, from one class to six classes following procedures outlined by Vermunt and Magidson (2005).”
Bias-Adjusted Three-Step Latent Markov Modeling With Covariates (2016, unknown): “An entropy-based (or pseudo) R -squared (Bakk et а l., 2013; Magidson, 1981; Vermunt, 2010; Vermunt & Magidson, 2005) is de ﬁ ned as the proportional reduction of entropy when Y t is available compared to the case in which Y t is unknown.”
Impact of Misspecifications of the Latent Variance–Covariance and Residual Matrices on the Class Enumeration Accuracy of Growth Mixture Models (2016, methodology): “E-mail: Alexandre.Morin@acu.edu.au Structural Equation Modeling: A Multidisciplinary Journal, 23: 507–531, 2016 Copyright © Taylor & Francis Group, LLC ISSN: 1070-5511 print / 1532-8007 online DOI: 10.1080/10705511.2016.1169188 Another reason for the increasing popularity of these models is the avai”
An Investigation of Primary and Secondary Psychopathy in a Statewide Sample of Incarcerated Youth (2009, methodology): “Finite mixture models were executed using the software program Latent GOLD 4.0 (Vermunt & Magidson, 2005).”
Patterns of Racial Socialization and Psychological Adjustment: Can Parental Communications About Race Reduce the Impact of Racial Discrimination? (2008, methodology): “Latent class analysis (LCA) implemented by the Latent Gold program (Vermunt & Magidson, 2005) was used to determine racial socialization clusters from the adolescent sample.”
Estimating the Association between Latent Class Membership and External Variables Using Bias-adjusted Three-step Approaches (2013, methodology): “To show the ease of use and applicability with the real data example, the syntax used in Latent GOLD (Vermunt and Magidson 2005, 2008) will be included as well.”
How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification (2013, methodology): “Two quite different approaches are compared, namely a model-based clustering approach (Vermunt and Magidson, 2002), in which different clusters are modelled by underlying latent classes or mixture components, and a dissimilarity-based partitioning approach that is not based on probability models (k-”
Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition) (2013, methodology): “Finally, multilevel analysis software is available for special purposes such as power analysis including PinT (Snijders & Bosker (1993), Optimal Design (Spybrook, Raudenbush, Congdon, & Martinez, 2009), and MLPowSim (Browne, Lahi, & Parker, 2009), multilevel analysis with latent variables including ”
The Relationship Between Teachers’ Implementation of Classroom Management Practices and Student Behavior in Elementary School (2018, methodology): “We calculated 10 LCA models with one to 10 specified classes in LatentGOLD 5.0 (Vermunt & Magidson, 2005), a Windows-based statistical software program designed specifically for LCA, utilizing maximum likelihood, posterior mode estimation, and Bayes’s constants to eliminate boundary solutions.”
Mixtures of Experts Models (2018, methodology): “In terms of other softwares, the FMM procedure in SAS also facilitates ME model ﬁtting, and stand alone softwares such as Latent GOLD (Vermunt & Magidson, 2005) and Mplus (Muthén & Muthén, 2011) ﬁt closely related latent class models.”