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Zhang, Susu; Li, Anqi; Wang, Shiyu – Educational Measurement: Issues and Practice, 2023
In computer-based tests allowing revision and reviews, examinees' sequence of visits and answer changes to questions can be recorded. The variable-length revision log data introduce new complexities to the collected data but, at the same time, provide additional information on examinees' test-taking behavior, which can inform test development and…
Descriptors: Computer Assisted Testing, Test Construction, Test Wiseness, Test Items
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Sweeney, Sandra M.; Sinharay, Sandip; Johnson, Matthew S.; Steinhauer, Eric W. – Educational Measurement: Issues and Practice, 2022
The focus of this paper is on the empirical relationship between item difficulty and item discrimination. Two studies--an empirical investigation and a simulation study--were conducted to examine the association between item difficulty and item discrimination under classical test theory and item response theory (IRT), and the effects of the…
Descriptors: Correlation, Item Response Theory, Item Analysis, Difficulty Level
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Hwanggyu Lim; Kyung T. Han – Educational Measurement: Issues and Practice, 2024
Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
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Pan, Yiqin; Wollack, James A. – Educational Measurement: Issues and Practice, 2023
Pan and Wollack (PW) proposed a machine learning method to detect compromised items. We extend the work of PW to an approach detecting compromised items and examinees with item preknowledge simultaneously and draw on ideas in ensemble learning to relax several limitations in the work of PW. The suggested approach also provides a confidence score,…
Descriptors: Artificial Intelligence, Prior Learning, Item Analysis, Test Content
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Xiao, Yue; Veldkamp, Bernard; Liu, Hongyun – Educational Measurement: Issues and Practice, 2022
The action sequences of respondents in problem-solving tasks reflect rich and detailed information about their performance, including differences in problem-solving ability, even if item scores are equal. It is therefore not sufficient to infer individual problem-solving skills based solely on item scores. This study is a preliminary attempt to…
Descriptors: Problem Solving, Item Response Theory, Scores, Item Analysis
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Ayfer Sayin; Mark Gierl – Educational Measurement: Issues and Practice, 2024
The purpose of this study is to introduce and evaluate a method for generating reading comprehension items using template-based automatic item generation. To begin, we describe a new model for generating reading comprehension items called the text analysis cognitive model assessing inferential skills across different reading passages. Next, the…
Descriptors: Algorithms, Reading Comprehension, Item Analysis, Man Machine Systems
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Lewis, Jennifer; Lim, Hwanggyu; Padellaro, Frank; Sireci, Stephen G.; Zenisky, April L. – Educational Measurement: Issues and Practice, 2022
Setting cut scores on (MSTs) is difficult, particularly when the test spans several grade levels, and the selection of items from MST panels must reflect the operational test specifications. In this study, we describe, illustrate, and evaluate three methods for mapping panelists' Angoff ratings into cut scores on the scale underlying an MST. The…
Descriptors: Cutting Scores, Adaptive Testing, Test Items, Item Analysis
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Arikan, Serkan; Aybek, Eren Can – Educational Measurement: Issues and Practice, 2022
Many scholars compared various item discrimination indices in real or simulated data. Item discrimination indices, such as item-total correlation, item-rest correlation, and IRT item discrimination parameter, provide information about individual differences among all participants. However, there are tests that aim to select a very limited number…
Descriptors: Monte Carlo Methods, Item Analysis, Correlation, Individual Differences
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Sarah Lindstrom Johnson; Ray E. Reichenberg; Kathan Shukla; Tracy E. Waasdorp; Catherine P. Bradshaw – Educational Measurement: Issues and Practice, 2019
The U.S. government has become increasingly focused on school climate, as recently evidenced by its inclusion as an accountability indicator in the Every Student Succeeds Act. Yet, there remains considerable variability in both conceptualizing and measuring school climate. To better inform the research and practice related to school climate and…
Descriptors: Item Response Theory, Educational Environment, Accountability, Educational Legislation
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Margolis, Melissa J.; Mee, Janet; Clauser, Brian E.; Winward, Marcia; Clauser, Jerome C. – Educational Measurement: Issues and Practice, 2016
Evidence to support the credibility of standard setting procedures is a critical part of the validity argument for decisions made based on tests that are used for classification. One area in which there has been limited empirical study is the impact of standard setting judge selection on the resulting cut score. One important issue related to…
Descriptors: Academic Standards, Standard Setting (Scoring), Cutting Scores, Credibility
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Bandalos, Deborah L.; Kopp, Jason P. – Educational Measurement: Issues and Practice, 2012
In this article, we discuss the importance of measurement literacy and some issues encountered in teaching introductory measurement courses. We present results from a survey of introductory measurement instructors, including information about the topics included in such courses and the amount of time spent on each. Topics that were included by the…
Descriptors: Class Activities, Motivation Techniques, Item Analysis, Test Theory
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Carter, Kathy – Educational Measurement: Issues and Practice, 1986
This article discusses the validity issue in teacher-made tests. Seventh-grade students' comments about their responses to a test designed to illustrate faulty items suggests students are quite proficient in using secondary clues to figure out correct answers. Teacher comments suggest teachers are unaware they provide such clues. (Author/JAZ)
Descriptors: Cues, Grade 7, Item Analysis, Junior High Schools
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Linn, Robert L.; Drasgow, Fritz – Educational Measurement: Issues and Practice, 1987
This article discusses the application of the Golden Rule procedure to items of the Scholastic Aptitude Test. Using item response theory, the analyses indicate that the Golden Rule procedures are ineffective in detecting biased items and may undermine the reliability and validity of tests. (Author/JAZ)
Descriptors: College Entrance Examinations, Difficulty Level, Item Analysis, Latent Trait Theory