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Categorical variable
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71	Tutorial #5: Analyzing Ranking Data Choice tutorials 1-4 all dealt with the analysis of first choices among sets of alternatives. In applications where information is also available on additional choices -- 2nd choice, 3 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:38:20 Choice set Latent class model Logistic regression Logit Variable and attribute Asynchronous Transfer Mode Ø Statistics Categorical data Conjoint analysis
72	Microsoft Word - Sage book12b.doc Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:15 Regression analysis Categorical data Estimation theory Latent class model Akaike information criterion Linear regression Latent variable Economic model Local independence Statistics Econometrics Statistical models
73	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
74	Representations of ordinality and substantive research hypotheses in cross-country comparisons based on survey data A. Jan Kutylowski Add to Reading List Source URL: www.csdiworkshop.org Language: English - Date: 2013-05-10 15:13:18 Statistical dependence Scientific method Econometrics Statistical models Latent variable model Scale Contingency table Data analysis Regression analysis Statistics Science Categorical data
75	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
76	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
77	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
78	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
79	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
80	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

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