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- catalog contributor b10495718.
- catalog created "c1998.".
- catalog date "1998".
- catalog date "c1998.".
- catalog dateCopyrighted "c1998.".
- catalog description "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 plausibility of models -- Logic of alternative models and significance tests -- Variations on the basic latent variable structural equation model -- Wrapping up -- Appendix A: A brief introduction to matrix algebra and structural equation modeling.".
- catalog description "Includes bibliographical references (p. 299-305) and indexes.".
- catalog extent "xvi, 311 p. :".
- catalog hasFormat "Basics of structural equation modeling.".
- catalog identifier "0803974086 (cloth)".
- catalog identifier "0803974094 (pbk.)".
- catalog isFormatOf "Basics of structural equation modeling.".
- catalog issued "1998".
- catalog issued "c1998.".
- catalog language "eng".
- catalog publisher "Thousand Oaks, Calif. : Sage Publications,".
- catalog relation "Basics of structural equation modeling.".
- catalog subject "519.5/35 21".
- catalog subject "Multivariate analysis.".
- catalog subject "QA278 .M374 1997".
- catalog subject "Social sciences Statistical methods.".
- catalog subject "Structural equation modeling.".
- catalog tableOfContents "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 plausibility of models -- Logic of alternative models and significance tests -- Variations on the basic latent variable structural equation model -- Wrapping up -- Appendix A: A brief introduction to matrix algebra and structural equation modeling.".
- catalog title "Basics of structural equation modeling / by Geoffrey M. Maruyama.".
- catalog type "text".