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Thomas A. Schmitt
Researcher at Eastern Michigan University
Publications - 27
Citations - 2428
Thomas A. Schmitt is an academic researcher from Eastern Michigan University. The author has contributed to research in topics: Exploratory factor analysis & Item response theory. The author has an hindex of 15, co-authored 26 publications receiving 2034 citations. Previous affiliations of Thomas A. Schmitt include University of Wisconsin–Milwaukee.
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Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis
TL;DR: The present article provides a current overview of these areas in an effort to provide researchers with up-to-date methods and considerations in both exploratory and confirmatory factor analysis.
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Assessing interpersonal fusion: reliability and validity of a new dsi fusion with others subscale
TL;DR: Greater fusion with others was associated with greater spousal fusion and dimensions of adult attachment insecurity, and suggestions for future research with the DSI-R are discussed.
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A Comparative Investigation of Rotation Criteria Within Exploratory Factor Analysis.
Daniel A. Sass,Thomas A. Schmitt +1 more
TL;DR: The results suggest that depending on the rotation criterion selected and the complexity of the factor pattern matrix, the interpretation of the interfactor correlations and factor pattern loadings can vary substantially.
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Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators.
TL;DR: In this paper, the authors compared estimation methods within a measurement invariance (MI) framework and determined if research conclusions using normal-theory maximum likelihood (ML) generalizes to the robust ML (MLR) and weighted least squares means and variance adjusted (WLSMV) estimators.
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Rotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations
Thomas A. Schmitt,Daniel A. Sass +1 more
TL;DR: Exploratory Factor Analysis (EFA) has been used in the social sciences to depict the relationships between variables/items and latent traits as mentioned in this paper, and it has been applied in many applications.