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
3 - Field dependence and the differentiation of neurotic syndromes
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
Introduction
Self-report scales are widely used in the fields of psychology and psychiatry to assess individual differences in personality and mental state. In psychometric theory, the scores obtained on psychological measures such as these are seen as the sum of two components. The first component represents the individual's true score on the characteristic of interest, and the second component is due to measurement error. True scores reflect real characteristics of the individual but they cannot be directly assessed, since observed scores are always to some extent contaminated by measurement error. Furthermore, because measurement error has an attenuating effect on measures of association, the magnitudes of the correlations among true scores tend to be underestimated by observedscore correlations. Structural modeling techniques, such as LISREL (Jöreskog & Sörbom 1981), provide a method of estimating correlations among latent unobservable variables free of this attenuation. This chapter illustrates the use of a LISREL measurement model to extend and refine a previous analysis carried out by conventional correlational methods.
Background of the study: the issue of symptom differentiation
The use of self-report questionnaires to assess severity of neurotic disturbance has been widely reported in the psychiatric literature (e.g., Howell & Crown 1971; Goldberg & Finnerty 1979; Haines, Imeson, & Meade 1980; Weise et al. 1980). In such research, it is often desirable to obtain separate scores for different neurotic syndromes. However, the aim of developing subscales that discriminate different aspects of neurotic disorder has not been fully achieved.
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- Information
- Structural Modeling by ExampleApplications in Educational, Sociological, and Behavioral Research, pp. 24 - 50Publisher: Cambridge University PressPrint publication year: 1988
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