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Book
Latent variables in linear stochastic models : reflections on "maximun likelihood" and "partial least squares" methods
Authors: ---
Year: 1981 Publisher: Groningen: Rijksuniversiteit Groningen,

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Latent class scaling analysis
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ISBN: 0761913238 1412984726 1452214085 0585180954 9780761913238 Year: 1998 Volume: 126 Publisher: Thousand Oaks, [Calif.] ; London : SAGE,

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The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.


Book
Latent variable models and factor analysis : a unified approach
Authors: --- ---
ISBN: 9780470971925 9781119970590 9781119970583 9781119973706 9781119973713 0470971924 Year: 2011 Publisher: Chichester: Wiley,

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Book
Latent variable models and factor analysis
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ISBN: 0852642806 0195206150 9780852642801 Year: 1987 Volume: 40 Publisher: London: Griffin,

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Latent variable modeling and applications to causality
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ISBN: 0387949178 146121842X 9780387949178 Year: 1997 Volume: 120 Publisher: New York (N.Y.): Springer,

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This volume gathers refereed papers presented at the 1994 UCLA conference on "La­ tent Variable Modeling and Application to Causality. " The meeting was organized by the UCLA Interdivisional Program in Statistics with the purpose of bringing together a group of people who have done recent advanced work in this field. The papers in this volume are representative of a wide variety of disciplines in which the use of latent variable models is rapidly growing. The volume is divided into two broad sections. The first section covers Path Models and Causal Reasoning and the papers are innovations from contributors in disciplines not traditionally associated with behavioural sciences, (e. g. computer science with Judea Pearl and public health with James Robins). Also in this section are contri­ butions by Rod McDonald and Michael Sobel who have a more traditional approach to causal inference, generating from problems in behavioural sciences. The second section encompasses new approaches to questions of model selection with emphasis on factor analysis and time varying systems. Amemiya uses nonlinear factor analysis which has a higher order of complexity associated with the identifiability condi­ tions. Muthen studies longitudinal hierarchichal models with latent variables and treats the time vector as a variable rather than a level of hierarchy. Deleeuw extends exploratory factor analysis models by including time as a variable and allowing for discrete and ordi­ nal latent variables. Arminger looks at autoregressive structures and Bock treats factor analysis models for categorical data.


Book
Latent variable modeling using R : a step by step guide
Author:
ISBN: 9781848726994 9781848726987 9781315869780 9781306785792 1848726996 1848726988 9781317970712 9781317970729 1315869780 Year: 2014 Publisher: New York: Routledge,

Latent variable and latent structure models
Authors: ---
ISBN: 080584046X 9780805840469 Year: 2002 Publisher: Mahwah (New Jersey): Lawrence Erlbaum,

Loglinear models with latent variables
Author:
ISBN: 0803943105 1412984858 1452216045 0585180962 9780803943100 Year: 1993 Volume: 94 Publisher: Newbury Park, Calif. ; London : SAGE,

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This title shows how uniting ordinary loglinear analysis and latent class analysis into a general loglinear model with latent variables can result in a modified LISREL approach. This modified LISREL model will enable researchers to analyze categorical data in the same way that they have been able to use LISREL to analyze continuous data.

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