LISREL Approaches to Interaction Effects in Multiple Regression, Issue 114

Front Cover
SAGE, Mar 21, 1996 - Mathematics - 98 pages

With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks. The authors consider a wide range of applications including: qualitative moderator variables; longitudinal designs; and product term analysis. They describe different types of measurement error and then present a discussion of latent variable representations of measurement error which serves as the foundation for the analyses described in later chapters. Finally they offer a brief introduction to LISREL and show how it can be used to execute the analyses. Readers can use this book without any prior training in LISREL and will find it an excellent introduction to analytic methods that deal with the problem of measurement error in the analysis of interactions.

 

Selected pages

Contents

Qualitative Moderator Variables
23
Repeated Measures and Longitudinal Designs
44
The Use of Product Terms
53
General Considerations
68
Data Sets Used in Examples
90
About the Authors
99
Copyright

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LISREL Approaches to Interaction Effects in Multiple Regression, Issue 114
James Jaccard,Choi K Wan
Snippet view - 1996

Common terms and phrases

analytic strategy approach Bollen Chapter chi-square test covariance matrix difference in path drug DrugUse EQ line equality constraint example females fit indices Gamma matrix gender groups interaction effect Jaccard Jöreskog latent predictor latent product term latent variable LISREL LISREL program LY=PS TD=PS TE=PS main effect males maximum likelihood measurement error methods metric missing data model fit model in Figure moderator variable monograph multiple indicators multiple-indicator multivariate normality multivariately normally distributed nested chi-square difference nested goodness-of-fit nonnormality null hypothesis observed measure observed variables pairwise deletion parameter estimates parent-teen relationship path coefficients peer pressure Person Quality predicted predictor variables product term reference variable regression analysis regression coefficients regression equation Research residual sample size sample sizes Set reference indicators Sociall Social2 solution SQUARED MULTIPLE CORRELATIONS statistical power statistically significant step structural equation modeling three indicators three-way interaction traditional multiple regression Type I error Warmth1 Warmth2 yields

References to this book

About the author (1996)

Dr. James Jaccard is Professor of Social Work at New York University Silver School of Social Work. He received his doctoral degree from the University of Illinois, Urbana, in 1976. Dr. Jaccard’s research focuses on adolescent and young adult problem behaviors, particularly those related to unintended pregnancy and substance use, broadly defined. He has developed parent-based interventions to teach parents how to more effectively communicate and parent their adolescent children so as to reduce the risk of unintended pregnancies and problems due to substance use. Dr. Jaccard has written numerous books and articles on the analysis of interaction effects in a wide range of statistical models and teaches advanced graduate courses on structural equation modeling. He has written influential articles on the issue of arbitrary metrics in social science research. Dr. Jaccard also has written about theory construction and how to build conceptual models in a book published by Guilford Press.

Bibliographic information

TitleLISREL Approaches to Interaction Effects in Multiple Regression, Issue 114
LISREL Approaches to Interaction Effects in Multiple Regression, James Jaccard
Quantitative Applications in the Social Sciences, ISSN 0149-192X
Volume 114 of Sage university paper
Sage university papers series: Quantitative applications in the social sciences, ISSN 0149-192X
AuthorsJames Jaccard, Choi K Wan
PublisherSAGE, 1996
ISBN0803971796, 9780803971790
Length98 pages
Subjects ›  › 

Mathematics / Probability & Statistics / Regression Analysis
Reference / Research
Social Science / Methodology
Social Science / Research
Social Science / Statistics
  
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