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Haladyna, Thomas M.; Rodriguez, Michael C.; Stevens, Craig – Applied Measurement in Education, 2019
The evidence is mounting regarding the guidance to employ more three-option multiple-choice items. From theoretical analyses, empirical results, and practical considerations, such items are of equal or higher quality than four- or five-option items, and more items can be administered to improve content coverage. This study looks at 58 tests,…
Descriptors: Multiple Choice Tests, Test Items, Testing Problems, Guessing (Tests)
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Daniel Katz; Anne Corinne Huggins-Manley; Walter Leite – Applied Measurement in Education, 2022
According to the "Standards for Educational and Psychological Testing" (2014), one aspect of test fairness concerns examinees having comparable opportunities to learn prior to taking tests. Meanwhile, many researchers are developing platforms enhanced by artificial intelligence (AI) that can personalize curriculum to individual student…
Descriptors: High Stakes Tests, Test Bias, Testing Problems, Prior Learning
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Abbakumov, Dmitry; Desmet, Piet; Van den Noortgate, Wim – Applied Measurement in Education, 2020
Formative assessments are an important component of massive open online courses (MOOCs), online courses with open access and unlimited student participation. Accurate conclusions on students' proficiency via formative, however, face several challenges: (a) students are typically allowed to make several attempts; and (b) student performance might…
Descriptors: Item Response Theory, Formative Evaluation, Online Courses, Response Style (Tests)
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Canivez, Gary L.; Youngstrom, Eric A. – Applied Measurement in Education, 2019
The Cattell-Horn-Carroll (CHC) taxonomy of cognitive abilities married John Horn and Raymond Cattell's Extended Gf-Gc theory with John Carroll's Three-Stratum Theory. While there are some similarities in arrangements or classifications of tasks (observed variables) within similar broad or narrow dimensions, other salient theoretical features and…
Descriptors: Taxonomy, Cognitive Ability, Intelligence, Cognitive Tests
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Diao, Hongyu; Keller, Lisa – Applied Measurement in Education, 2020
Examinees who attempt the same test multiple times are often referred to as "repeaters." Previous studies suggested that repeaters should be excluded from the total sample before equating because repeater groups are distinguishable from non-repeater groups. In addition, repeaters might memorize anchor items, causing item drift under a…
Descriptors: Licensing Examinations (Professions), College Entrance Examinations, Repetition, Testing Problems
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Phillips, Gary W. – Applied Measurement in Education, 2015
This article proposes that sampling design effects have potentially huge unrecognized impacts on the results reported by large-scale district and state assessments in the United States. When design effects are unrecognized and unaccounted for they lead to underestimating the sampling error in item and test statistics. Underestimating the sampling…
Descriptors: State Programs, Sampling, Research Design, Error of Measurement
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Sinharay, Sandip – Applied Measurement in Education, 2017
Karabatsos compared the power of 36 person-fit statistics using receiver operating characteristics curves and found the "H[superscript T]" statistic to be the most powerful in identifying aberrant examinees. He found three statistics, "C", "MCI", and "U3", to be the next most powerful. These four statistics,…
Descriptors: Nonparametric Statistics, Goodness of Fit, Simulation, Comparative Analysis
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Guo, Hongwen; Rios, Joseph A.; Haberman, Shelby; Liu, Ou Lydia; Wang, Jing; Paek, Insu – Applied Measurement in Education, 2016
Unmotivated test takers using rapid guessing in item responses can affect validity studies and teacher and institution performance evaluation negatively, making it critical to identify these test takers. The authors propose a new nonparametric method for finding response-time thresholds for flagging item responses that result from rapid-guessing…
Descriptors: Guessing (Tests), Reaction Time, Nonparametric Statistics, Models
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Mills, Craig N.; Stocking, Martha L. – Applied Measurement in Education, 1996
Issues that must be addressed in the large-scale application of computerized adaptive testing are explored, including considerations of test design, scoring, test administration, item and item bank development, and other aspects of test construction. Possible solutions and areas in which additional work is needed are identified. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Higher Education
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Green, Bert F. – Applied Measurement in Education, 1988
Emerging areas and critical problems related to computer-based testing are identified. Topics covered include adaptive testing; calibration; item selection; multidimensional items; uses of information processing theory; relation to cognitive psychology; and tests of short-term and spatial memory, perceptual speed and accuracy, and movement…
Descriptors: Cognitive Tests, Computer Assisted Testing, Content Validity, Information Processing
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Holland, Paul W.; Wainer, Howard – Applied Measurement in Education, 1990
Two attempts to adjust state mean Scholastic Aptitude Test (SAT) scores for differential participation rates are examined. Both attempts are rejected, and five rules for performing adjustments are outlined to foster follow-up checks on untested assumptions. National Assessment of Educational Progress state data are determined to be more accurate.…
Descriptors: College Applicants, College Entrance Examinations, Estimation (Mathematics), Item Bias
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Hanson, Bradley A. – Applied Measurement in Education, 1996
Determining whether score distributions differ on two or more test forms administered to samples of examinees from a single population is explored using three statistical tests using loglinear models. Examples are presented of applying tests of distribution differences to decide if equating is needed for alternative forms of a test. (SLD)
Descriptors: Equated Scores, Scoring, Statistical Distributions, Test Format
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Haladyna, Thomas A. – Applied Measurement in Education, 1992
Several multiple-choice item formats are examined in the current climate of test reform. The reform movement is discussed as it affects use of the following formats: (1) complex multiple-choice; (2) alternate choice; (3) true-false; (4) multiple true-false; and (5) the context dependent item set. (SLD)
Descriptors: Cognitive Psychology, Comparative Testing, Context Effect, Educational Change
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Wollack, James A. – Applied Measurement in Education, 2006
Many of the currently available statistical indexes to detect answer copying lack sufficient power at small [alpha] levels or when the amount of copying is relatively small. Furthermore, there is no one index that is uniformly best. Depending on the type or amount of copying, certain indexes are better than others. The purpose of this article was…
Descriptors: Statistical Analysis, Item Analysis, Test Length, Sample Size
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Feldt, Leonard S. – Applied Measurement in Education, 2002
Considers the situation in which content or administrative considerations limit the way in which a test can be partitioned to estimate the internal consistency reliability of the total test score. Demonstrates that a single-valued estimate of the total score reliability is possible only if an assumption is made about the comparative size of the…
Descriptors: Error of Measurement, Reliability, Scores, Test Construction
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