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Regression models for categorical and limited dependent variables
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ISBN: 0803973748 9780803973749 Year: 1997 Volume: 7 Publisher: Thousand Oaks : Sage Publications,


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The workflow of data analysis using Stata
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ISBN: 9781597180474 1597180475 9781597180475 Year: 2009 Publisher: College Station : Stata Press,

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Confirmatory factor analysis : a preface to LISREL.
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ISBN: 080392044X 1412983770 1452214344 058518089X 9780803920446 Year: 1990 Volume: 07-033 Publisher: Newbury Park (Calif.) Sage


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Covariance structure models : an introduction to LISREL
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ISBN: 9781412983822 Year: 1983 Publisher: Newbury Park, [Calif.] ; London : SAGE,

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Abstract

The discussion in this volume will be particularly useful for estimating models with equality constraints and correlated errors across some but not all equations. The final chapter includes a guide to appropriate software packages.


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Confirmatory factor analysis : a preface to LISREL
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ISBN: 9781412983778 Year: 1983 Publisher: Newbury Park, Calif. ; London : SAGE,

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This text looks at a statistical method that will appeal to two groups in particular - those who are currently using the more traditional technique of exploratory factor analysis and those who are interested in the analysis of covariance structures, commonly known as the LISREL model.


Book
Regression models for categorical dependent variables using Stata
Authors: ---
ISBN: 9781597181112 1597181110 Year: 2014 Publisher: College Station, Texas : Stata Press Publication, StataCorp LP,

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Abstract

After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias. "The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations."--Back cover.

Regression models for categorical dependent variables using stata.
Authors: ---
ISBN: 1597180114 9781597180115 Year: 2006 Publisher: Texas Stata Corporation

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"The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations."--Back cover.

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