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Ferreira, Aristides I.; Rodrigues, Rosa I.; da Costa Ferreira, Paula – International Journal for Educational and Vocational Guidance, 2016
In this study, we present the development of a vocational interest scale for university students studying psychology. Three dimensions were extracted through principal component analysis, namely, organizational, educational, and clinical psychology. A second study with confirmatory factor analysis replicated the same three factors obtained in the…
Descriptors: Vocational Interests, Student Interests, Psychology, College Students
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Oon, Pey-Tee; Fan, Xitao – International Journal of Science Education, 2017
Students' attitude towards science (SAS) is often a subject of investigation in science education research. Survey of rating scale is commonly used in the study of SAS. The present study illustrates how Rasch analysis can be used to provide psychometric information of SAS rating scales. The analyses were conducted on a 20-item SAS scale used in an…
Descriptors: Item Response Theory, Psychometrics, Attitude Measures, Rating Scales
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Janssen, Rianne; De Boeck, Paul – Applied Psychological Measurement, 1997
Used the multicomponent latent trait model (MTLM) (S. Embretson, 1980, 1984) for 3 different synonym tasks completed by 212 and 257 Belgian secondary school students. Developed a heuristic evaluation procedure that tested features of the model and provided an explanation for why the MTLM did not fit the data. (SLD)
Descriptors: Componential Analysis, Foreign Countries, Heuristics, Item Response Theory
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Kim, Sooyeon; Kyllonen, Patrick C. – ETS Research Report Series, 2006
The Standardized Letter of Recommendation (SLR), a 28-item form, was created by ETS to supplement the qualitative rating of graduate school applicants' nonacademic qualities with a quantitative approach. The purpose of this study was to evaluate the following psychometric properties of the SLR using the Rasch rating-scale model: dimensionality,…
Descriptors: Item Response Theory, Rating Scales, Data Analysis, Models