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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2022
Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores, and hence to incomplete data, on credentialing tests such as the United States Medical Licensing examination. Feinberg compared four approaches for reporting pass-fail decisions to the examinees with incomplete data on credentialing…
Descriptors: Testing Problems, High Stakes Tests, Credentials, Test Items
Steedle, Jeffrey T.; Cho, Young Woo; Wang, Shichao; Arthur, Ann M.; Li, Dongmei – Educational Measurement: Issues and Practice, 2022
As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Scores, Test Format
Kosh, Audra E.; Simpson, Mary Ann; Bickel, Lisa; Kellogg, Mark; Sanford-Moore, Ellie – Educational Measurement: Issues and Practice, 2019
Automatic item generation (AIG)--a means of leveraging technology to create large quantities of items--requires a minimum number of items to offset the sizable upfront investment (i.e., model development and technology deployment) in order to achieve cost savings. In this cost-benefit analysis, we estimated the cost of each step of AIG and manual…
Descriptors: Cost Effectiveness, Automation, Test Items, Mathematics Tests
Joo, Seang-Hwane; Khorramdel, Lale; Yamamoto, Kentaro; Shin, Hyo Jeong; Robin, Frederic – Educational Measurement: Issues and Practice, 2021
In Programme for International Student Assessment (PISA), item response theory (IRT) scaling is used to examine the psychometric properties of items and scales and to provide comparable test scores across participating countries and over time. To balance the comparability of IRT item parameter estimations across countries with the best possible…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
Jerrim, John; Parker, Philip; Choi, Alvaro; Chmielewski, Anna Katyn; Sälzer, Christine; Shure, Nikki – Educational Measurement: Issues and Practice, 2018
The Programme for International Student Assessment (PISA) is an important international study of 15-olds' knowledge and skills. New results are released every 3 years, and have a substantial impact upon education policy. Yet, despite its influence, the methodology underpinning PISA has received significant criticism. Much of this criticism has…
Descriptors: Educational Assessment, Comparative Education, Achievement Tests, Foreign Countries
Wise, Steven L. – Educational Measurement: Issues and Practice, 2017
The rise of computer-based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple-choice items. In particular, very short response…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Items, Reaction Time
Bridgeman, Brent – Educational Measurement: Issues and Practice, 2016
Scores on essay-based assessments that are part of standardized admissions tests are typically given relatively little weight in admissions decisions compared to the weight given to scores from multiple-choice assessments. Evidence is presented to suggest that more weight should be given to these assessments. The reliability of the writing scores…
Descriptors: Multiple Choice Tests, Scores, Standardized Tests, Comparative Analysis
Banks, Kathleen – Educational Measurement: Issues and Practice, 2013
The purpose of this article was to present a synthesis of the peer-reviewed differential bundle functioning (DBF) research that has been conducted to date. A total of 16 studies were synthesized according to the following characteristics: tests used and learner groups, organizing principles used for developing bundles, DBF detection methods used,…
Descriptors: Test Bias, Research, Tests, Student Characteristics
Dorans, Neil J. – Educational Measurement: Issues and Practice, 2012
Views on testing--its purpose and uses and how its data are analyzed--are related to one's perspective on test takers. Test takers can be viewed as learners, examinees, or contestants. I briefly discuss the perspective of test takers as learners. I maintain that much of psychometrics views test takers as examinees. I discuss test takers as a…
Descriptors: Testing, Test Theory, Item Response Theory, Test Reliability
Johnstone, Christopher J.; Thompson, Sandra J.; Bottsford-Miller, Nicole A.; Thurlow, Martha L. – Educational Measurement: Issues and Practice, 2008
Test items undergo multiple iterations of review before states and vendors deem them acceptable to be placed in a live statewide assessment. This article reviews three approaches that can add validity evidence to states' item review processes. The first process is a structured sensitivity review process that focuses on universal design…
Descriptors: Test Items, Disabilities, Test Construction, Testing Programs
Kato, Kentaro; Moen, Ross E.; Thurlow, Martha L. – Educational Measurement: Issues and Practice, 2009
Large data sets from a state reading assessment for third and fifth graders were analyzed to examine differential item functioning (DIF), differential distractor functioning (DDF), and differential omission frequency (DOF) between students with particular categories of disabilities (speech/language impairments, learning disabilities, and emotional…
Descriptors: Learning Disabilities, Language Impairments, Behavior Disorders, Affective Behavior

Hills, John R. – Educational Measurement: Issues and Practice, 1989
Test bias detection methods based on item response theory (IRT) are reviewed. Five such methods are commonly used: (1) equality of item parameters; (2) area between item characteristic curves; (3) sums of squares; (4) pseudo-IRT; and (5) one-parameter-IRT. A table compares these and six newer or less tested methods. (SLD)
Descriptors: Item Analysis, Test Bias, Test Items, Testing Programs

Bock, R. Darrell – Educational Measurement: Issues and Practice, 1997
This brief history traces the development of item response theory (IRT) from concepts originating in 19th-century mathematics and psychology to present-day principles drawn from statistical estimation theory. Connections to other fields and current trends in IRT are outlined. (SLD)
Descriptors: Estimation (Mathematics), History, Item Response Theory, Psychometrics

Clauser, Brian E.; Mazor, Kathleen M. – Educational Measurement: Issues and Practice, 1998
This module prepares the reader to use statistical procedures to detect differentially functioning test items. The Mantel-Haenszel statistic, logistic regression, the SIBTEST procedure, the Standardization procedure, and various item response theory-based procedures are presented. Theoretical frameworks, strengths and weaknesses, and…
Descriptors: Item Bias, Item Response Theory, Statistical Analysis, Teaching Methods

Reckase, Mark D. – Educational Measurement: Issues and Practice, 1989
Requirements for adaptive testing are reviewed, and the reasons implementation has taken so long are explored. The adaptive test is illustrated through the Stanford-Binet Intelligence Scale of L. M. Terman and M. A. Merrill (1960). Current adaptive testing is tied to the development of item response theory. (SLD)
Descriptors: Adaptive Testing, Educational Development, Elementary Secondary Education, Latent Trait Theory