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Royal, Kenneth D.; Gilliland, Kurt O.; Kernick, Edward T. – Anatomical Sciences Education, 2014
Any examination that involves moderate to high stakes implications for examinees should be psychometrically sound and legally defensible. Currently, there are two broad and competing families of test theories that are used to score examination data. The majority of instructors outside the high-stakes testing arena rely on classical test theory…
Descriptors: Item Response Theory, Scoring, Evaluation Methods, Anatomy
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Blitz, Mark H.; Modeste, Marsha – Leadership and Policy in Schools, 2015
The Comprehensive Assessment of Leadership for Learning (CALL) is a multi-source assessment of distributed instructional leadership. As part of the validation of CALL, researchers examined differences between teacher and leader ratings in assessing distributed leadership practices. The authors utilized a t-test for equality of means for the…
Descriptors: Participative Decision Making, Transformational Leadership, Educational Practices, Instructional Leadership
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Saderholm, Jon; Ronau, Robert; Brown, E. Todd; Collins, Gary – School Science and Mathematics, 2010
The Diagnostic Teacher Assessment in Mathematics and Science (DTAMS) was developed to measure the content knowledge and pedagogical content knowledge of middle-school teachers. Its reliability and validity were initially established by reviewing national standards for content and use of expert question writing teams and reviewers. DTAMS was…
Descriptors: Structural Equation Models, Mathematics Achievement, Pedagogical Content Knowledge, Item Response Theory
Heh, Peter – ProQuest LLC, 2009
The current study examined the validation and alignment of the PASA-Science by determining whether the alternate science assessment anchors linked to the regular education science anchors; whether the PASA-Science assessment items are science; whether the PASA-Science assessment items linked to the alternate science eligible content, and what…
Descriptors: Program Effectiveness, Special Education, Science Education, Science Tests
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May, Henry – Journal of Educational and Behavioral Statistics, 2006
In this article, a new method is presented and implemented for deriving a scale of socioeconomic status (SES) from international survey data using a multilevel Bayesian item response theory (IRT) model. The proposed model incorporates both international anchor items and nation-specific items and is able to (a) produce student family SES scores…
Descriptors: Item Response Theory, Bayesian Statistics, Socioeconomic Status, Scaling