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Biomedical subjects

Michael Eid

Publications and source records attributed to Michael Eid.

3 recordsLinked to original sources

Separating trait effects from trait-specific method effects in multitrait-multimethod models: a multiple-indicator CT-C(M-1) model.

An overview of several models of confirmatory factor analysis for analyzing multitrait-multimethod (MTMM) data and a discussion of their advantages and limitations are provided. A new class of multi-indicator MTMM models combines several strengths and avoids a number of serious shortcomings inherent in previously developed MTMM models. The new models enable researchers to specify and to test trait-specific-method effects. The trait and method concepts composing these models are explained in detail and are contrasted with those of previously developed MTMM models for multiple indicators. The definitions of the models are explained step by step, and a practical empirical application of the models to the measurement of 3 traits x 3 methods is used to demonstrate their advantages and limitations.

Affect↗

Sociability and positive emotionality: genetic and environmental contributions to the covariation between different facets of extraversion.

The relation between sociability and positive affect is one of the most often replicated results of research on personality and subjective well-being. It is shown how behavior genetics can contribute to our understanding of the covariance between sociability and positive emotionality. The results of a multimethod behavior-genetic study with 158 monozygotic and 120 dizygotic twins are reported. In this study, sociability and two components of positive emotionality (positive affect, energy) were assessed by self-report and other report. Additionally, positive state affect was assessed in five situations and aggregated across situations. The results showed that there are strong genetic correlations between all variables. Furthermore, there are substantive correlations between the nonshared environmental components of the different variables. Shared environmental influences, however, seemed to be unimportant for explaining the correlations between sociability and the different components of positive emotionality. The results are discussed with respect to their implications for future research on sociability and positive emotionality.

Adolescent↗

The structure of emotional expressivity: each emotion counts.

Several models of the dimensionality of emotional expressivity were examined in a multitrait-multimethod study. Targets and peer raters completed measures of the target's emotional expressivity (Berkeley Expressivity Questionnaire. BEQ; J. J. Gross & O. P. John, 1995; and a measure of emotion-specific expression) and the Big 5 personality dimensions. The results of structural equation modeling and analysis of variance revealed that an emotion-specific model was superior to models of valence-specific or unidimensional expressivity. The distinct emotions differed in their relations with the dimensions of the 5-factor model. These results were corroborated by self- and other reports. Finally, the degree of convergence between self- and other ratings differed between emotions, demonstrating the multidimensional character of emotional expressivity.

Adult↗