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Class variable
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#	Item
71	Reprinted from the Proceedings of the COMPSTAT 2000 conference. Graphical Displays for Latent Class Cluster and Latent Class Factor Models Jeroen K. Vermunt1 and Jay Magidson2 1 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:07 Statistical models Categorical data Educational psychology Latent class model Latent variable Data analysis Factor analysis Cluster analysis Latent variable model Statistics Psychometrics Multivariate statistics
72	Technical Guide for Latent GOLD 5.0: Basic, Advanced, and Syntax1 Jeroen K. Vermunt and Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2013-11-04 08:41:10 Statistical models Psychometrics Actuarial science Latent class model Linear regression Non-parametric statistics Generalized linear model Factor analysis Latent variable Statistics Regression analysis Econometrics
73	Technical Guide for Latent GOLD 4.0: Basic and Advanced1 Jeroen K. Vermunt and Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-05-15 16:08:08 Econometrics Psychometrics Actuarial science Linear regression Latent class model Latent variable Generalized linear model Factor analysis Mixture model Statistics Regression analysis Statistical models
74	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
75	latent gold 4.0 manual final for pdf.qxp Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2005-04-29 16:37:52 Statistical models Psychometrics Categorical data Latent class model Latent variable model Structural equation modeling Logistic regression Linear regression Multinomial logit Statistics Regression analysis Econometrics
76	Latent Variable Jeroen K. Vermunt & Jay Magidson Many constructs that are of interest to social scientists can not be observed directly. Examples are preferences, attitudes, behavioral intentions, and personality traits. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:51 Latent variable model Econometrics Categorical data Statistical dependence Latent class model Latent variable Item response theory Observable variable Probability distribution Statistics Statistical models Psychometrics
77	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics
78	5 LATENT CLASS FACTOR AND CLUSTER MODELS, BI-PLOTS, AND RELATED GRAPHICAL DISPLAYS Jay Magidson* Jeroen K. Vermunt† Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:33 Multivariate statistics Categorical data Regression analysis Latent class model Latent variable Factor analysis Data analysis Local independence Confirmatory factor analysis Statistics Psychometrics Statistical models
79	Local independence Jeroen K. Vermunt & Jay Magidson Local independence is the basic assumption underlying latent variable models, such as factor analysis, latent trait analysis, latent class analysis, and latent profile Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:02 Statistical dependence Categorical data Econometrics Local independence Latent class model Latent variable model Item response theory Factor analysis Latent variable Statistics Statistical models Psychometrics
80	22 Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining Jay Magidson and Jeroen K. Vermunt Statistical Innovations Inc., USA, and Tilburg University, The Netherlands Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:55 Psychometrics Multivariate statistics Econometrics Factor analysis Logistic regression Linear regression Latent class model Latent variable Varimax rotation Statistics Regression analysis Statistical models

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