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Polikoff, Morgan S.; Gasparian, Hovanes; Korn, Shira; Gamboa, Martin; Porter, Andrew C.; Smith, Toni; Garet, Michael S. – Educational Measurement: Issues and Practice, 2020
As the standards movement continues into its third decade, there remains a need for alignment methodologies that can be broadly applied to study instruction and policy. This article reports on a series of development efforts meant to revise the Surveys of Enacted Curriculum (SEC) surveys and methods to study the implementation of new college- and…
Descriptors: Alignment (Education), Surveys, College Readiness, Career Readiness
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Wilkerson, Judy R. – Educational Measurement: Issues and Practice, 2020
Validity and reliability are a major focus in teacher education accreditation by the Council for Accreditation of Educator Preparation (CAEP). CAEP requires the use of "accepted research standards," but many faculty and administrators are unsure how to meet this requirement. The Standards of Educational and Psychological Testing…
Descriptors: Test Construction, Test Validity, Test Reliability, Teacher Education Programs
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Welch, Catherine J.; Dunbar, Stephen B. – Educational Measurement: Issues and Practice, 2020
The use of assessment results to inform school accountability relies on the assumption that the test design appropriately represents the content and cognitive emphasis reflected in the state's standards. Since the passage of the Every Student Succeeds Act and the certification of accountability assessments through federal peer review practices,…
Descriptors: Accountability, Test Construction, State Standards, Content Validity
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Leventhal, Brian; Ames, Allison – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Brian Leventhal and Dr. Allison Ames provide an overview of "Monte Carlo simulation studies" (MCSS) in "item response theory" (IRT). MCSS are utilized for a variety of reasons, one of the most compelling being that they can be used when analytic solutions are impractical or nonexistent because…
Descriptors: Item Response Theory, Monte Carlo Methods, Simulation, Test Items
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Bunch, Michael B. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Michael Bunch provides an in-depth, step-by-step look at how standard setting is done. It does not focus on any specific procedure or methodology (e.g., modified Angoff, bookmark, and body of work) but on the practical tasks that must be completed for any standard setting activity. Dr. Bunch carries the…
Descriptors: Standard Setting, Cutting Scores, Scores, Reports
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Zieger, Laura; Sims, Sam; Jerrim, John – Educational Measurement: Issues and Practice, 2019
There is much interest in comparing latent traits, such as teacher job satisfaction, in large international surveys. However, different countries respond to questionnaires in different languages and interpret the questions through different cultural lenses, raising doubts about the psychometric equivalence of the measurements. Making valid…
Descriptors: Foreign Countries, Comparative Education, Teacher Attitudes, Job Satisfaction
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Grammatikopoulos, Vasilis; Gregoriadis, Athanasios; Linardakis, Michalis – Educational Measurement: Issues and Practice, 2019
Self-reported measures are an easy, time-efficient, and low-cost way to collect research data compared to other assessment methods. They are, however, characterized by several limitations regarding the quality and the clarity of the data they produce, especially when they are implemented in education. The main purpose of the current study was to…
Descriptors: Measurement Techniques, Early Childhood Teachers, Social Desirability, Response Style (Tests)
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Aray, Henry; Pedauga, Luis – Educational Measurement: Issues and Practice, 2019
This article presents a novel experimental methodology in which groups of students were offered the option to choose between two equivalent scoring rules to assess a multiple-choice test. The effect of choosing the scoring rule on marks is tested. Two major contributions arise from this research. First, it contributes to the literature on the…
Descriptors: Multiple Choice Tests, Scoring, Student Attitudes, Decision Making
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Schweig, Jonathan D.; Yuan, Kun – Educational Measurement: Issues and Practice, 2019
School climate surveys are central to school improvement and principal evaluation policies. The quality of school climate has been linked both to student achievement and to teacher retention. Oftentimes, policymakers and practitioners are concerned with monitoring change in school climate quality in each academic year. Such applications assume…
Descriptors: Educational Environment, Surveys, Hierarchical Linear Modeling, Longitudinal Studies
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Jonson, Jessica L.; Trantham, Pamela; Usher-Tate, Betty Jean – Educational Measurement: Issues and Practice, 2019
One of the substantive changes in the 2014 Standards for Educational and Psychological Testing was the elevation of fairness in testing as a foundational element of practice in addition to validity and reliability. Previous research indicates that testing practices often do not align with professional standards and guidelines. Therefore, to raise…
Descriptors: Culture Fair Tests, Test Validity, Test Reliability, Intelligence Tests
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Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
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Kroehne, Ulf; Buerger, Sarah; Hahnel, Carolin; Goldhammer, Frank – Educational Measurement: Issues and Practice, 2019
For many years, reading comprehension in the Programme for International Student Assessment (PISA) was measured via paper-based assessment (PBA). In the 2015 cycle, computer-based assessment (CBA) was introduced, raising the question of whether central equivalence criteria required for a valid interpretation of the results are fulfilled. As an…
Descriptors: Reading Comprehension, Computer Assisted Testing, Achievement Tests, Foreign Countries
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Niessen, A. Susan M.; Meijer, Rob R.; Tendeiro, Jorge N. – Educational Measurement: Issues and Practice, 2019
A longstanding concern about admissions to higher education is the underprediction of female academic performance by admission test scores. One explanation for these findings is selection system bias, that is, not all relevant KSAOs that are related to academic performance and gender are included in the prediction model. One solution to this…
Descriptors: College Admission, High Stakes Tests, Gender Differences, Sampling
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van der Lans, Rikkert M.; van de Grift, Wim J. C. M.; van Veen, Klaas – Educational Measurement: Issues and Practice, 2019
Using item response theory, this study explores whether student survey and classroom observation items can be calibrated onto a common metric of teaching quality. The data comprises 269 lessons of 141 teachers that were scored on the International Comparative Analysis of Learning and Teaching (ICALT) observation instrument and the My Teacher…
Descriptors: Item Response Theory, Student Surveys, Classroom Observation Techniques, Teacher Effectiveness
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2019
Test score users often demand the reporting of subscores due to their potential diagnostic, remedial, and instructional benefits. Therefore, there is substantial pressure on testing programs to report subscores. However, professional standards require that subscores have to satisfy minimum quality standards before they can be reported. In this…
Descriptors: Testing, Scores, Item Response Theory, Evaluation Methods
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