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Showing 1 to 15 of 71 results Save | Export
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Anne Traynor; Sara C. Christopherson – Applied Measurement in Education, 2024
Combining methods from earlier content validity and more contemporary content alignment studies may allow a more complete evaluation of the meaning of test scores than if either set of methods is used on its own. This article distinguishes item relevance indices in the content validity literature from test representativeness indices in the…
Descriptors: Test Validity, Test Items, Achievement Tests, Test Construction
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Wise, Steven; Kuhfeld, Megan – Applied Measurement in Education, 2021
Effort-moderated (E-M) scoring is intended to estimate how well a disengaged test taker would have performed had they been fully engaged. It accomplishes this adjustment by excluding disengaged responses from scoring and estimating performance from the remaining responses. The scoring method, however, assumes that the remaining responses are not…
Descriptors: Scoring, Achievement Tests, Identification, Validity
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Yi-Hsin Chen – Applied Measurement in Education, 2024
This study aims to apply the differential item functioning (DIF) technique with the deterministic inputs, noisy "and" gate (DINA) model to validate the mathematics construct and diagnostic attribute profiles across American and Singaporean students. Even with the same ability level, every single item is expected to show uniform DIF…
Descriptors: Foreign Countries, Achievement Tests, Elementary Secondary Education, International Assessment
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Wise, Steven L. – Applied Measurement in Education, 2020
In achievement testing there is typically a practical requirement that the set of items administered should be representative of some target content domain. This is accomplished by establishing test blueprints specifying the content constraints to be followed when selecting the items for a test. Sometimes, however, students give disengaged…
Descriptors: Test Items, Test Content, Achievement Tests, Guessing (Tests)
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Pools, Elodie – Applied Measurement in Education, 2022
Many low-stakes assessments, such as international large-scale surveys, are administered during time-limited testing sessions and some test-takers are not able to endorse the last items of the test, resulting in not-reached (NR) items. However, because the test has no consequence for the respondents, these NR items can also stem from quitting the…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Traynor, Anne; Li, Tingxuan; Zhou, Shuqi – Applied Measurement in Education, 2020
During the development of large-scale school achievement tests, panels of independent subject-matter experts use systematic judgmental methods to rate the correspondence between a given test's items and performance objective statements. The individual experts' ratings may then be used to compute summary indices to quantify the match between a…
Descriptors: Alignment (Education), Achievement Tests, Curriculum, Error of Measurement
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McGill, Ryan J.; Dombrowski, Stefan C. – Applied Measurement in Education, 2019
The Cattell-Horn-Carroll (CHC) model presently serves as a blueprint for both test development and a taxonomy for clinical interpretation of modern tests of cognitive ability. Accordingly, the trend among test publishers has been toward creating tests that provide users with an ever-increasing array of scores that comport with CHC. However, an…
Descriptors: Models, Cognitive Ability, Intelligence Tests, Intelligence
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Soland, James; Wise, Steven L.; Gao, Lingyun – Applied Measurement in Education, 2019
Disengaged responding is a phenomenon that often biases observed scores from achievement tests and surveys in practically and statistically significant ways. This problem has led to the development of methods to detect and correct for disengaged responses on both achievement test and survey scores. One major disadvantage when trying to detect…
Descriptors: Reaction Time, Metadata, Response Style (Tests), Student Surveys
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Wise, Steven L.; Kuhfeld, Megan R.; Soland, James – Applied Measurement in Education, 2019
When we administer educational achievement tests, we want to be confident that the resulting scores validly indicate what the test takers know and can do. However, if the test is perceived as low stakes by the test taker, disengaged test taking sometimes occurs, which poses a serious threat to score validity. When computer-based tests are used,…
Descriptors: Guessing (Tests), Computer Assisted Testing, Achievement Tests, Scores
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El Masri, Yasmine H.; Andrich, David – Applied Measurement in Education, 2020
In large-scale educational assessments, it is generally required that tests are composed of items that function invariantly across the groups to be compared. Despite efforts to ensure invariance in the item construction phase, for a range of reasons (including the security of items) it is often necessary to account for differential item…
Descriptors: Models, Goodness of Fit, Test Validity, Achievement Tests
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Abulela, Mohammed A. A.; Rios, Joseph A. – Applied Measurement in Education, 2022
When there are no personal consequences associated with test performance for examinees, rapid guessing (RG) is a concern and can differ between subgroups. To date, the impact of differential RG on item-level measurement invariance has received minimal attention. To that end, a simulation study was conducted to examine the robustness of the…
Descriptors: Comparative Analysis, Robustness (Statistics), Nonparametric Statistics, Item Analysis
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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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Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
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Wise, Steven L.; Gao, Lingyun – Applied Measurement in Education, 2017
There has been an increased interest in the impact of unmotivated test taking on test performance and score validity. This has led to the development of new ways of measuring test-taking effort based on item response time. In particular, Response Time Effort (RTE) has been shown to provide an assessment of effort down to the level of individual…
Descriptors: Test Bias, Computer Assisted Testing, Item Response Theory, Achievement Tests
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Wise, Steven L. – Applied Measurement in Education, 2015
Whenever the purpose of measurement is to inform an inference about a student's achievement level, it is important that we be able to trust that the student's test score accurately reflects what that student knows and can do. Such trust requires the assumption that a student's test event is not unduly influenced by construct-irrelevant factors…
Descriptors: Achievement Tests, Scores, Validity, Test Items
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