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Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
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Seo, Dong Gi; Weiss, David J. – Educational and Psychological Measurement, 2015
Most computerized adaptive tests (CATs) have been studied using the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CATs. This study investigated the accuracy, fidelity, and efficiency of a fully multidimensional CAT algorithm…
Descriptors: Computer Assisted Testing, Adaptive Testing, Accuracy, Fidelity
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Schroeders, Ulrich; Wilhelm, Oliver – Educational and Psychological Measurement, 2011
Whether an ability test delivered on either paper or computer provides the same information is an important question in applied psychometrics. Besides the validity, it is also the fairness of a measure that is at stake if the test medium affects performance. This study provides a comprehensive review of existing equivalence research in the field…
Descriptors: Reading Comprehension, Listening Comprehension, English (Second Language), Language Tests
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Ng, Kok-Mun; Wang, Chuang; Kim, Do-Hong; Bodenhorn, Nancy – Educational and Psychological Measurement, 2010
The authors investigated the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale on international students. Via confirmatory factor analysis, the authors tested the fit of the models reported by Schutte et al. and five other studies to data from 640 international students in the United States. Results show that…
Descriptors: Emotional Intelligence, Factor Structure, Measures (Individuals), Factor Analysis
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Arce-Ferrer, Alvaro J.; Guzman, Elvira Martinez – Educational and Psychological Measurement, 2009
This study investigates the effect of mode of administration of the Raven Standard Progressive Matrices test on distribution, accuracy, and meaning of raw scores. A random sample of high school students take counterbalanced paper-and-pencil and computer-based administrations of the test and answer a questionnaire surveying preferences for…
Descriptors: Factor Analysis, Raw Scores, Statistical Analysis, Computer Assisted Testing
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Kim, Do-Hong; Huynh, Huynh – Educational and Psychological Measurement, 2008
The current study compared student performance between paper-and-pencil testing (PPT) and computer-based testing (CBT) on a large-scale statewide end-of-course English examination. Analyses were conducted at both the item and test levels. The overall results suggest that scores obtained from PPT and CBT were comparable. However, at the content…
Descriptors: Reading Comprehension, Computer Assisted Testing, Factor Analysis, Comparative Testing
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Beins, Bernard C.; Porter, J. William – Educational and Psychological Measurement, 1989
Research with 38 undergraduates studied a technique for assessing conformity on a ratio scale and variables used to analyze normative and information factors. Computer presentation of the statistics and storage of responses allows assessment of discrepancies between actual line length and length of the reproductions made with/without peer…
Descriptors: Computer Assisted Testing, Conformity, Factor Analysis, Higher Education
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Endler, Norman S.; Parker, James D. A. – Educational and Psychological Measurement, 1990
C. Davis and M. Cowles (1989) analyzed a total trait anxiety score on the Endler Multidimensional Anxiety Scales (EMAS)--a unidimensional construct that this multidimensional measure does not assess. Data are reanalyzed using the appropriate scoring procedure for the EMAS. Subjects included 145 undergraduates in 1 of 4 testing conditions. (SLD)
Descriptors: Anxiety, Comparative Testing, Computer Assisted Testing, Construct Validity