Basics of Structural Equation Modeling

ISBN-10: 0803974094

ISBN-13: 9780803974098

Edition: 1997

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Description:

Maruyama uses a single data set to demonstrate a variety of techniques which range from path analysis, by way of panel analysis and confirmatory analysis, to latent variable structural equation modelling.
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Book details

List price: $105.00
Copyright year: 1997
Publisher: SAGE Publications, Incorporated
Publication date: 9/22/1997
Binding: Paperback
Pages: 328
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.188
Language: English

My interest in what happens in diverse urban schools began when I became involved in a study of school desegregation while in graduate school. Those interests have led me to study a range of issues in schools, including school schedules and structures, teaching approaches such as cooperative learning and conflict resolution, social influence processes, and student background characteristics including poverty, type of housing, language, ability, and race/ethnicity. This work has been facilitated by time I spent in the Saint Paul Public Schools as their director of research, evaluation and assessment. Recently, my work has moved beyond schools to look more broadly at how universities engage urban communities to build partnerships addressing key social issues. I have complemented my substantive interests with methodology interests in structural equation methods and program evaluation.Finally, I have held administrative roles that have enriched and informed my research interests, including director of the Center for Applied Research and Educational Improvement (CAREI), assistant/associate vice president for multicultural and academic affairs, and now vice president for system academic administration . I am a past-president of the Society for the Psychological Study of Social Issues (SPSSI), and currently edit one of their journals, Analyses of Social Issues and Public Policy.

Background
What Does It Mean to Model Hypothesized Causal Processes with Nonexperimental Data?
History and Logic of Structural Equation Modeling
Basic Approaches To Modeling With Single Observed Measures Of Theoretical Variables
The Basics
Path Analysis and Partitioning of Variance
Effects of Collinearity on Regression and Path Analysis
Effects of Random and Nonrandom Error on Path Models
Recursive and Longitudinal Models
Where Causality Goes in More Than One Direction and Where Data Are Collected Over Time
Factor Analysis And Path Modeling
Introducing the Logic of Factor Analysis and Multiple Indicators to Path Modeling
Latent Variable Structural Equation Models
Putting It All Together
Latent Variable Structural Equation Modeling
Using Latent Variable Structural Equation Modeling to Examine Plausability of Models
Logic of Alternative Models and Significance Tests
Variations on the Basic Latent Variable Structural Equation Model
Wrapping up
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