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Ye Ma; Deborah J. Harris – Educational Measurement: Issues and Practice, 2025
Item position effect (IPE) refers to situations where an item performs differently when it is administered in different positions on a test. The majority of previous research studies have focused on investigating IPE under linear testing. There is a lack of IPE research under adaptive testing. In addition, the existence of IPE might violate Item…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
Silvia Testa; Renato Miceli; Renato Miceli – Educational Measurement: Issues and Practice, 2025
Random Equating (RE) and Heuristic Approach (HA) are two linking procedures that may be used to compare the scores of individuals in two tests that measure the same latent trait, in conditions where there are no common items or individuals. In this study, RE--that may only be used when the individuals taking the two tests come from the same…
Descriptors: Comparative Testing, Heuristics, Problem Solving, Personality Traits
Coggeshall, Whitney Smiley – Educational Measurement: Issues and Practice, 2021
The continuous testing framework, where both successful and unsuccessful examinees have to demonstrate continued proficiency at frequent prespecified intervals, is a framework that is used in noncognitive assessment and is gaining in popularity in cognitive assessment. Despite the rigorous advantages of this framework, this paper demonstrates that…
Descriptors: Classification, Accuracy, Testing, Failure
William Belzak; J. R. Lockwood; Yigal Attali – Educational Measurement: Issues and Practice, 2024
Remote proctoring, or monitoring test takers through internet-based, video-recording software, has become critical for maintaining test security on high-stakes assessments. The main role of remote proctors is to make judgments about test takers' behaviors and decide whether these behaviors constitute rule violations. Variability in proctor…
Descriptors: Computer Security, High Stakes Tests, English (Second Language), Second Language Learning
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Bennett, Randy E. – Educational Measurement: Issues and Practice, 2022
This commentary focuses on one of the positive impacts of COVID-19, which was to tie societal inequity to testing in a manner that could motivate the reimagining of our field. That reimagining needs to account for our nation's dramatically changing demographics so that assessment generally, and standardized testing specifically, better fit the…
Descriptors: COVID-19, Pandemics, Social Justice, Testing
Rios, Joseph A.; Ihlenfeldt, Samuel D.; Dosedel, Michael; Riegelman, Amy – Educational Measurement: Issues and Practice, 2020
This systematic review investigated the topics studied and reporting practices of published meta-analyses in educational measurement. Our findings indicated that meta-analysis is not a highly utilized methodological tool in educational measurement; on average, less than one meta-analysis has been published per year over the past 30 years (28…
Descriptors: Meta Analysis, Educational Assessment, Test Format, Testing Accommodations
Peabody, Michael R.; Muckle, Timothy J.; Meng, Yu – Educational Measurement: Issues and Practice, 2023
The subjective aspect of standard-setting is often criticized, yet data-driven standard-setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional…
Descriptors: Item Response Theory, Standard Setting, Testing, Sampling
Zwick, Rebecca – Educational Measurement: Issues and Practice, 2019
Selection decisions have a major impact on our education, occupation, and quality of life, and the role of standardized tests in selection has always been a source of controversy. Here, I consider various definitions of fairness in measurement and selection--those emerging from within educational measurement and statistics, those from philosophy,…
Descriptors: Culture Fair Tests, Decision Making, Standardized Tests, Selection Criteria
Cui, Zhongmin – Educational Measurement: Issues and Practice, 2020
Thanks to COVID-19, schools were closed and tests were canceled. The result is that we may not see test-taking data typically seen before. For some analyses, sample sizes may not meet the minimum requirement. For others, the sample of test-takers may be different from previous years. In some situation, there may be no data at all. What do we do in…
Descriptors: Testing, Sample Size, Data Collection, COVID-19
Sireci, Stephen G. – Educational Measurement: Issues and Practice, 2020
Educational tests are standardized so that all examinees are tested on the same material, under the same testing conditions, and with the same scoring protocols. This uniformity is designed to provide a level "playing field" for all examinees so that the test is "the same" for everyone. Thus, standardization is designed to…
Descriptors: Standards, Educational Assessment, Culture Fair Tests, Scoring
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
Bond, Lloyd – Educational Measurement: Issues and Practice, 2020
Three examples of extant testing practices (i.e., a classroom instructor's use of a simple pre-post design, the practice of teaching to the test, and the think aloud verbal protocol) are discussed to illustrate the contention that assessment in the service of testing and learning does not necessarily involve radically different assessment…
Descriptors: Testing, Test Preparation, Teaching Methods, Protocol Analysis
Mattern, Krista; Radunzel, Justine; Bertling, Maria; Ho, Andrew D. – Educational Measurement: Issues and Practice, 2018
The percentage of students retaking college admissions tests is rising. Researchers and college admissions offices currently use a variety of methods for summarizing these multiple scores. Testing organizations such as ACT and the College Board, interested in validity evidence like correlations with first-year grade point average (FYGPA), often…
Descriptors: College Admission, Scores, Correlation, College Entrance Examinations
Embretson, Susan E. – Educational Measurement: Issues and Practice, 2016
Examinees' thinking processes have become an increasingly important concern in testing. The responses processes aspect is a major component of validity, and contemporary tests increasingly involve specifications about the cognitive complexity of examinees' response processes. Yet, empirical research findings on examinees' cognitive processes are…
Descriptors: Testing, Cognitive Processes, Test Construction, Test Items