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Lida Lin – ProQuest LLC, 2020
Participants in achievement tests or psychometric scales can be naturally divided into various sub-groups such as gender, race, social economic status, school district, etc. In order to make meaningful comparison between groups, each item in the test/scale should measure the same underlying construct for participants came from different groups.…
Descriptors: Measurement Techniques, Item Sampling, Achievement Tests, Psychometrics
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Kim, Sooyeon; Livingston, Samuel A. – Journal of Educational Measurement, 2010
Score equating based on small samples of examinees is often inaccurate for the examinee populations. We conducted a series of resampling studies to investigate the accuracy of five methods of equating in a common-item design. The methods were chained equipercentile equating of smoothed distributions, chained linear equating, chained mean equating,…
Descriptors: Equated Scores, Test Items, Item Sampling, Item Response Theory
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Schumacker, Randall E.; Smith, Everett V., Jr. – Educational and Psychological Measurement, 2007
Measurement error is a common theme in classical measurement models used in testing and assessment. In classical measurement models, the definition of measurement error and the subsequent reliability coefficients differ on the basis of the test administration design. Internal consistency reliability specifies error due primarily to poor item…
Descriptors: Measurement Techniques, Error of Measurement, Item Sampling, Item Response Theory
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Graham, John W.; Taylor, Bonnie J.; Olchowski, Allison E.; Cumsille, Patricio E. – Psychological Methods, 2006
The authors describe 2 efficiency (planned missing data) designs for measurement: the 3-form design and the 2-method measurement design. The 3-form design, a kind of matrix sampling, allows researchers to leverage limited resources to collect data for 33% more survey questions than can be answered by any 1 respondent. Power tables for estimating…
Descriptors: Cost Effectiveness, Structural Equation Models, Psychological Studies, Data Collection