Book contents
- Frontmatter
- Contents
- Preface
- List of contributors
- 1 Introduction
- 2 An overview of structural equation modeling
- 3 Field dependence and the differentiation of neurotic syndromes
- 4 High school seniors' reports of parental socioeconomic status: black–white differences
- 5 Modeling the hierarchical structure of learning
- 6 A study of longitudinal causal models comparing gain score analysis with structural equation approaches
- 7 Some structural equation models of sibling resemblance in educational attainment and occupational status
- 8 Applications of structural equation modeling to longitudinal educational data
- 9 The robustness of maximum likelihood estimation in structural equation models
- 10 An inquiry into the effects of outliers on estimates of a structural equation model of basic skills assessment
- 11 Testing structural equation models
- 12 LISREL models for inequality constraints in factor and regression analysis
- 13 Issues and problems in the application of structural equation models
- Appendix
- Glossary
- Index
Appendix
Published online by Cambridge University Press: 12 January 2010
- Frontmatter
- Contents
- Preface
- List of contributors
- 1 Introduction
- 2 An overview of structural equation modeling
- 3 Field dependence and the differentiation of neurotic syndromes
- 4 High school seniors' reports of parental socioeconomic status: black–white differences
- 5 Modeling the hierarchical structure of learning
- 6 A study of longitudinal causal models comparing gain score analysis with structural equation approaches
- 7 Some structural equation models of sibling resemblance in educational attainment and occupational status
- 8 Applications of structural equation modeling to longitudinal educational data
- 9 The robustness of maximum likelihood estimation in structural equation models
- 10 An inquiry into the effects of outliers on estimates of a structural equation model of basic skills assessment
- 11 Testing structural equation models
- 12 LISREL models for inequality constraints in factor and regression analysis
- 13 Issues and problems in the application of structural equation models
- Appendix
- Glossary
- Index
Summary
This appendix contains information on the input for the LISREL program for selected models from Chapters 3 to 8. We assume a reasonable familiarity with the LISREL manual for version V or later. A basic grounding in the relationship between the path diagrams, model equations, matrix formulation of the model, and the LISREL program input is provided in W. E. Saris and L. H. Stronkhorst, Introduction to Causal Modeling in Non Experimental Research (Amsterdam: Sociometric Research Foundation 1984). Other introductions are referenced in the first and last chapters of this volume. The formulations of the models provided below are for the LISREL variation of the statistical model underlying structural modeling, and formulations in terms of other structural modeling programs such as EQS and COS AN will vary somewhat, since their parametrization of the model is different from that employed by LISREL.
For standardization purposes we employ the default representations of LISREL matrices that were established in version V of the LISREL program. These defaults are generally upwardly compatible with later versions of the program.
We indicate below the default values of the matrices. Items that may be omitted from the program input are determined by two criteria: Either they are defaults (indicated in bold), or they are not required to describe the parametrization of the model under study. The notational brackets ≪ ≫ indicate these items. Any or all of the items within these brackets may be omitted without causing a program error; for example, any single item or the whole group of items denoted as ≪LX = FU, FI LY = FU, FI PH = SY, FR≫ may be omitted.
- Type
- Chapter
- Information
- Structural Modeling by ExampleApplications in Educational, Sociological, and Behavioral Research, pp. 280 - 311Publisher: Cambridge University PressPrint publication year: 1988