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Jeffry White – Journal of Educational Research and Practice, 2024
Violations of normality and homogeneity are common in educational data. When this occurs, the use of parametric statistics may be inappropriate. A generalized form of nonparametric analyses based on the Puri and Sen L statistic provides an alternative approach. Using a chi-square distribution, this technique is easy to apply and has significant…
Descriptors: Nonparametric Statistics, Learning Analytics, Evaluation Methods, Guidance
Mattern, Krista; Radunzel, Justine; Bertling, Maria; Ho, Andrew – ACT, Inc., 2017
The percentage of students retaking college admissions tests is rising (Harmston & Crouse, 2016). Researchers and college admissions offices currently use a variety of methods for summarizing these multiple scores. Testing companies, interested in validity evidence like correlations with college first-year grade-point averages (FYGPA), often…
Descriptors: College Entrance Examinations, Grade Point Average, College Freshmen, Correlation
Marini, Jessica P.; Shaw, Emily J.; Young, Linda – College Board, 2016
During the transition period between the use of exclusively old SAT® scores and the use of exclusively new SAT scores, college admission offices will be receiving both types of scores from students. Making an admission decision based on new SAT scores can be challenging at first because institutions have methods, procedures, and models based on…
Descriptors: College Entrance Examinations, Scores, College Admission, Decision Making
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Liu, Jinghua; Zu, Jiyun; Curley, Edward; Carey, Jill – ETS Research Report Series, 2014
The purpose of this study is to investigate the impact of discrete anchor items versus passage-based anchor items on observed score equating using empirical data.This study compares an "SAT"® critical reading anchor that contains more discrete items proportionally, compared to the total tests to be equated, to another anchor that…
Descriptors: Equated Scores, Test Items, College Entrance Examinations, Comparative Analysis
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Newton, Paul E. – Measurement: Interdisciplinary Research and Perspectives, 2010
This article presents the author's rejoinder to thinking about linking from issue 8(1). Particularly within the more embracing linking frameworks, e.g., Holland & Dorans (2006) and Holland (2007), there appears to be a major disjunction between (1) classification discourse: the supposed basis for classification, that is, the underlying theory…
Descriptors: Foreign Countries, Measurement Techniques, Psychometrics, Comparative Analysis
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Walker, Michael E. – Measurement: Interdisciplinary Research and Perspectives, 2010
"Linking" is a term given to a general class of procedures by which one represents scores X on one test or measure in terms of scores Y on another test or measure. A recent taxonomy by Holland and Dorans (2006; Holland, 2007) organizes the various types of links into three broad categories: prediction, scale aligning, and equating. In…
Descriptors: Foreign Countries, Test Construction, Test Validity, Measurement Techniques
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Liu, Jinghua; Low, Albert C. – ETS Research Report Series, 2007
This study applied kernel equating (KE) in two scenarios: equating to a very similar population and equating to a very different population, referred to as a distant population, using SAT® data. The KE results were compared to the results obtained from analogous classical equating methods in both scenarios. The results indicate that KE results are…
Descriptors: College Entrance Examinations, Equated Scores, Comparative Analysis, Evaluation Methods
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Liu, Jinghua; Cahn, Miriam F.; Dorans, Neil J. – Journal of Educational Measurement, 2006
The College Board's SAT[R] data are used to illustrate how the score equity assessment (SEA) can help inform the program about equatability. SEA is used to examine whether the content change(s) to the revised new SAT result in differential linking functions across gender groups. Results of population sensitivity analyses are reported on the…
Descriptors: Aptitude Tests, Comparative Analysis, Gender Differences, Scores
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Finch, Holmes; Habing, Brian – Journal of Educational Measurement, 2005
This study examines the performance of a new method for assessing and characterizing dimensionality in test data using the NOHARM model, and comparing it with DETECT. Dimensionality assessment is carried out using two goodness-of-fit statistics that are compared to reference X[2] distributions. A Monte Carlo study is used with item parameters…
Descriptors: Program Effectiveness, Monte Carlo Methods, Item Response Theory, Comparative Analysis
Schultz, Matthew T.; Geisinger, Kurt F. – 1992
Research efforts have established that the Mantel-Haenszel procedure (MHP) is an effective method for detecting the presence of test items exhibiting differential item functioning (DIF). While the MHP has been advocated for situations where item response theory based methods may not be usable, recent findings have suggested that the performance of…
Descriptors: College Entrance Examinations, Comparative Analysis, Control Groups, Equations (Mathematics)
Paek, Pamela L.; Ponte, Eva; Sigel, Irv; Braun, Henry; Powers, Don – College Board, 2005
The Advanced Placement Program® (AP®) is dedicated to providing high school students opportunities to enroll in college-level courses while in high school. The advantages of such accelerated opportunities are both financial and educational. The AP Program is available internationally. As a result of its widespread availability, considerable effort…
Descriptors: Advanced Placement Programs, High School Students, Secondary School Teachers, High Schools