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Titlebook: Recent Developments on Structural Equation Models; Theory and Applicati Kees Montfort,Johan Oud,Albert Satorra Book 2004 Springer Science+B

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Thurstone’s Case V Model: A Structural Equations Modeling Perspectivebe studied experimentally using a variety of procedures, one of the oldest being the method of paired comparisons. This method remains quite popular in areas such as psychophysics and consumer psychology. For a good overview of the method of paired comparisons see David (1988).
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Evaluating Uncertainty of Model Acceptability in Empirical Applications: A Replacement Approachdividuals actually tend to distort their responses in order to reach specific goals. For example, in personnel selection some subjects are likely to fake a personality questionnaire to match the ideal candidate’s profile (positive impression management). Similarly, in the administration of diagnosti
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A Component Analysis Approach Towards Multisubject Multivariate Longitudinal Data Analysis measurement occasions. This chapter aims at giving an overview of currently available component analysis approaches to the analysis of longitudinally collected multivariate data from more than one subject. The data is analyzed by studying the mutual linear relationships between the variables and lo
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Multilevel Structural Equation Models: the Limited Information Approach and the Multivariate Multileate levels of this hierarchical system. Standard multivariate models are not appropriate for the analysis of such hierarchical systems, even if the analysis includes only variables at the lowest (individual) level, because the standard assumption of independent and identically distributed observatio
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Varieties of Causal Modeling: How Optimal Research Design Varies by Explanatory Strategyearchers interpret a SE model in terms of causal relationships, the SE model serves as a causal model. Researchers also give causal interpretations to models not currently expressible as SE models. Recognizing that both sets of models have expanding membership, the present chapter focuses primarily
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Is it Possible to Feel Good and Bad at the Same Time? New Evidence on the Bipolarity of Mood-state Ds neither simple nor clear as the intensive and ongoing discussions at least since Wundt (1896) reveal (see, e.g., Beebe-Center, 1932; Diener, 1999; Diener & Emmons, 1985, Eid, Notz, Schwenkmezger & Steyer, 1994; Egloff, 1998; Green, Goldman & Salovey, 1993; Russell & Carroll, 1999; Tellegen, Watson
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Methodological Issues in the Application of the Latent Growth Curve Modeltudinal data collected from a panel design. It represents outcome variables explicitly as a function of time and other measures. Specifically, latent growth curve analysis is a Statistical technique to estimate the Parameters that represent the growth curves that are assumed to have given rise to th
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