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Structural Equation Modeling
Abstract
The first half of this chapter presents an overview of the type hypotheses, statistical theory, and major issues relevant to specifying, estimating, evaluating, and interpreting structural equation models. Following this brief SEM overview, a complete example of a simple SEM model of risky behavior using a large dataset of responses from preteen children is presented. This presentation includes examples of output from EQS 6.1. The second half of chapter is devoted to a detailed presentation of the current issues and important future research directions in structural equation modeling.
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“SEM was chosen as the method to examine the data above the use of multiple regression or simple correlations, as the method allowed for the latent modelling of variables with measurement error taken into account (Ullman & Bentler, 2012).”
From Sources and effects of foreign language enjoyment, anxiety, and boredom: A structural equation modeling approach (2023) · cites this paper as Ullman & Bentler, 2012
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Metadata
- Authors
- Ullman, J. B., & Bentler, P. M.
- Venue
- Handbook of Psychology, Second Edition
- Publisher
- Wiley
- Published
- 2012-09-26
- Cited by
- 330
- References
- 261
- Language
- en
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