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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
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Puhan, Gautam; von Davier, Alina A.; Gupta, Shaloo – Educational and Psychological Measurement, 2010
Equating under the external anchor design is frequently conducted using scaled scores on the anchor test. However, scaled scores often lead to the unique problem of creating zero frequencies in the score distribution because there may not always be a one-to-one correspondence between raw and scaled scores. For example, raw scores of 17 and 18 may…
Descriptors: Statistical Distributions, Raw Scores, Equated Scores, Scaling
Jiang, Hai – 1999
The purpose of this paper is to describe the techniques used in establishing the concordance tables between the Test of English as a Foreign Language (TOEFL), paper and pencil (P&P), and computer-based testing (CBT) sections and total reported score scales. Listening, reading, and composite structure and essay scores plus a total score are…
Descriptors: Computer Assisted Testing, English (Second Language), Estimation (Mathematics), Scaling
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Yen, Wendy M. – Journal of Educational Measurement, 1986
Two methods of constucting equal-interval scales for educational achievement are discussed: Thurstone's absolute scaling method and Item Response Theory. Alternative criteria for choosing a scale are contrasted. It is argued that clearer criteria are needed for judging the appropriateness and usefulness of alternative scaling procedures.…
Descriptors: Achievement Tests, Latent Trait Theory, Mathematical Models, Scaling
Allen, Nancy L.; And Others – 1992
Many testing programs include a section of optional questions in addition to mandatory parts of a test. These optional parts of a test are not often truly parallel to one another, and groups of examinees selecting each optional test section are not equivalent to one another. This paper provides a general method based on missing-data methods for…
Descriptors: Comparative Testing, Estimation (Mathematics), Graphs, Scaling