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Gorney, Kylie; Wollack, James A.; Sinharay, Sandip; Eckerly, Carol – Journal of Educational and Behavioral Statistics, 2023
Any time examinees have had access to items and/or answers prior to taking a test, the fairness of the test and validity of test score interpretations are threatened. Therefore, there is a high demand for procedures to detect both compromised items (CI) and examinees with preknowledge (EWP). In this article, we develop a procedure that uses item…
Descriptors: Scores, Test Validity, Test Items, Prior Learning
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Süleyman Demir; Derya Çobanoglu Aktan; Nese Güler – International Journal of Assessment Tools in Education, 2023
This study has two main purposes. Firstly, to compare the different item selection methods and stopping rules used in Computerized Adaptive Testing (CAT) applications with simulative data generated based on the item parameters of the Vocational Maturity Scale. Secondly, to test the validity of CAT application scores. For the first purpose,…
Descriptors: Computer Assisted Testing, Adaptive Testing, Vocational Maturity, Measures (Individuals)
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Karadavut, Tugba – Applied Measurement in Education, 2021
Mixture IRT models address the heterogeneity in a population by extracting latent classes and allowing item parameters to vary between latent classes. Once the latent classes are extracted, they need to be further examined to be characterized. Some approaches have been adopted in the literature for this purpose. These approaches examine either the…
Descriptors: Item Response Theory, Models, Test Items, Maximum Likelihood Statistics
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Kilic, Abdullah Faruk; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items,…
Descriptors: Factor Analysis, Computation, Least Squares Statistics, Maximum Likelihood Statistics
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Mahmud, Jumailiyah; Sutikno, Muzayanah; Naga, Dali S. – Educational Research and Reviews, 2016
The aim of this study is to determine variance difference between maximum likelihood and expected A posteriori estimation methods viewed from number of test items of aptitude test. The variance presents an accuracy generated by both maximum likelihood and Bayes estimation methods. The test consists of three subtests, each with 40 multiple-choice…
Descriptors: Maximum Likelihood Statistics, Computation, Item Response Theory, Test Items
Finster, Matthew – Online Submission, 2017
This brief presents initial evidence about the reliability and validity of a novice teacher survey and a novice teacher supervisor survey. The novice teacher and novice teacher supervisor surveys assess how well prepared novice teachers are to meet the job requirements of teaching. The surveys are designed to provide educator preparation programs…
Descriptors: Test Construction, Test Validity, Teacher Surveys, Beginning Teachers
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Baker, Thomas A., III.; Byon, Kevin K. – Measurement in Physical Education and Exercise Science, 2014
A scale was developed to measure perceptions of sexual abuse in youth sports by assessing (a) the perceived prevalence of sexual abuse committed by pedophilic youth sport coaches, (b) the perceived likelihood that a coach is a pedophile, (c) perceptions on how youth sport organizations should manage the risk of pedophilia, and (d) media influence…
Descriptors: Sexual Abuse, Test Construction, Attitude Measures, Incidence
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Rogers, Daniel T. – International Journal for the Scholarship of Teaching and Learning, 2012
Despite potential applications to educational contexts, the working alliance concept has largely been confined to psychotherapy intervention research. Some have explored theoretically related concepts (e.g., immediacy, rapport), but no measure currently exists of the working alliance between a teacher and student within an academic course. The aim…
Descriptors: Test Construction, Test Validity, Test Reliability, Psychometrics