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Samuelsen, Karen – Measurement: Interdisciplinary Research and Perspectives, 2012
The notion that there is often no clear distinction between factorial and typological models (von Davier, Naemi, & Roberts, this issue) is sound. As von Davier et al. state, theory often indicates a preference between these models; however the statistical criteria by which these are delineated offer much less clarity. In many ways the procedure…
Descriptors: Models, Statistical Analysis, Classification, Factor Structure
Rupp, Andre A. – Measurement: Interdisciplinary Research and Perspectives, 2012
In the focus article of this issue, von Davier, Naemi, and Roberts essentially coupled: (1) a short methodological review of structural similarities of latent variable models with discrete and continuous latent variables; and (2) 2 short empirical case studies that show how these models can be applied to real, rather than simulated, large-scale…
Descriptors: Models, Classification, Multivariate Analysis, Statistical Analysis
Lubke, Gitta – Measurement: Interdisciplinary Research and Perspectives, 2012
Von Davier et al. (this issue) describe two analyses that aim at determining whether the constructs measured with a number of observed items are categorical or continuous in nature. The issue of types versus traits has a long history and is relevant in many areas of behavioral research, including personality research, as emphasized by von Davier…
Descriptors: Models, Classification, Multivariate Analysis, Statistical Analysis
Lent, Robert W.; Sheu, Hung-Bin; Brown, Steven D. – Journal of Counseling Psychology, 2010
Armstrong and Vogel (2009) proposed that the differences between self-efficacy and interests are a matter of measurement artifact rather than substance. In tests of this hypothesis, they conceived of self-efficacy and interest as observed indicators of larger RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) types…
Descriptors: Self Efficacy, Interests, Measurement, Longitudinal Studies

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