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Wang, Wei; Dorans, Neil J. – ETS Research Report Series, 2021
Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…
Descriptors: Classification, Scaling, Prediction, Accuracy
Dorans, Neil J. – ETS Research Report Series, 2018
A distinction is made between scores as measures of a construct and predictions of a criterion or outcome variable. The interpretation attached to predictions of criteria, such as job performance or college grade point average (GPA), differs from that attached to scores that are measures of a construct, such as reading proficiency or knowledge…
Descriptors: Job Performance, Scores, Data Interpretation, Statistical Distributions
Dorans, Neil J. – Measurement: Interdisciplinary Research and Perspectives, 2010
Kane, Mroch, Suh, and Ripkey (2009) describe what they call five linear equating methods for the nonequivalent groups with anchor test (NEAT) design. The authors embed these methods within a two-dimensional framework. The first dimension contrasts what the authors call a parameter substitution (PS) approach what they call a chained linear…
Descriptors: Measures (Individuals), Equated Scores, Item Response Theory, Predictor Variables
Haberman, Shelby J.; Guo, Hongwen; Liu, Jinghua; Dorans, Neil J. – ETS Research Report Series, 2008
This study uses historical data to explore the consistency of SAT® I: Reasoning Test score conversions and to examine trends in scaled score means. During the period from April 1995 to December 2003, both Verbal (V) and Math (M) means display substantial seasonality, and a slight increasing trend for both is observed. SAT Math means increase more…
Descriptors: College Entrance Examinations, Thinking Skills, Logical Thinking, Scaling
Dorans, Neil J. – 1983
A formal analysis is presented of the effects of item deletion on equating/scaling functions and reported score distributions. The phrase "item deletion" refers to the process of changing the original key of a flawed item to either all options correct, including omits, or to no options correct, i.e., not scoring the flawed item. There…
Descriptors: College Entrance Examinations, Equated Scores, Item Analysis, Mathematical Models
Dorans, Neil J. – College Entrance Examination Board, 2000
Distinctions were made between three classes of statistical linkage: equivalence, concordance, and prediction. These distinctions were based on rational content considerations and empirical statistical relationships. A large database involving SAT I and ACT scores was used to determine which type of linkage was best suited for different scores and…
Descriptors: Statistical Analysis, Prediction, Scores, Standardized Tests
Dorans, Neil J. – College Entrance Examination Board, 1999
Correspondences between ACT[superscript TM] and SAT[superscript R] I scores are presented from a conceptual framework that distinguishes among three kinds of correspondences, namely, equating, scaling, and prediction. Construct similarity plays an important role in determining the nature and degree of correspondence that can be achieved. This…
Descriptors: College Entrance Examinations, Scores, Standardized Tests, Prediction
Dorans, Neil J. – College Entrance Examination Board, 2002
The history of SAT® score scales is summarized, and the need for realigning SAT score scales is demonstrated. The process employed to produce the conversions that take scores from the original SAT scales to recentered scales in which reference group scores are centered near the midpoint of the score-reporting range is laid out. For the purposes of…
Descriptors: College Entrance Examinations, Scores, Scaling, Scoring