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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2014
Brennan (Brennan, R. L., 2012) noted that users of test scores often want (indeed, demand) that subscores be reported, along with total test scores, for diagnostic purposes. Haberman (Haberman, S. J., 2008) suggested a method based on classical test theory (CTT) to determine if subscores have added value over the total score. According to this…
Descriptors: Scores, Test Theory, Test Interpretation
Hubley, Anita M.; Zumbo, Bruno D. – Social Indicators Research, 2011
The vast majority of measures have, at their core, a purpose of personal and social change. If test developers and users want measures to have personal and social consequences and impact, then it is critical to consider the consequences and side effects of measurement in the validation process itself. The consequential basis of test interpretation…
Descriptors: Construct Validity, Social Change, Measurement, Test Interpretation
Woolley, Kristin K. – 1996
The theory of score validity has undergone several revisions within the measurement community. The current consensus among professionals is a rejection of the trinitarian doctrine (J. P. Guion, 1980) of score validity and the recognition of a unified view that includes social consequences of test interpretation and use. While some aspects of the…
Descriptors: Models, Scores, Standards, Test Interpretation
Braun, Henry I.; Mislevy, Robert J. – US Department of Education, 2004
Psychologist Andrea diSessa coined the term "phenomenological primitives", or p-prims, to talk about nonexperts' reasoning about physical situations. P-prims are primitive in the sense that they stand without significant explanatory substructure or explanation. Examples are "Heavy objects fall faster than light objects" and "Continuing force is…
Descriptors: Test Theory, Testing, Evaluation Methods, Scores

Spencer, Bruce D. – Journal of Educational Measurement, 1983
Because test scores are ordinal not cordinal attributes, the average test score often is a misleading way to summarize the scores of a group of individuals. Similarly, correlation coefficients may be misleading summary measures of association between test scores. Proper, readily interpretable, summary statistics are developed from a theory of…
Descriptors: Correlation, Measurement Techniques, Scores, Statistical Analysis

Green, Bert F. – American Psychologist, 1981
Discusses classical test theory, including test construction, administration, and use. Covers basic statistical concepts in measurement, reliability, and validity; principles of sound test construction and item analysis; test administration and scoring; procedures for transforming raw test data into scaled scores; and future prospects in test…
Descriptors: Scores, Statistics, Test Construction, Test Interpretation

Drasgow, Fritz; And Others – Applied Psychological Measurement, 1989
Multilinear formula scoring (MFS) is reviewed, with emphasis on estimating option characteristic curves (OCSs). MFS was used to estimate OCSs for the arithmetic reasoning subtest of the Armed Services Vocational Aptitude Battery for 2,978 examinees. A second analysis obtained OCSs for simulated data. The use of MFS is discussed. (SLD)
Descriptors: Estimation (Mathematics), Mathematical Models, Multiple Choice Tests, Scores

Messick, Samuel – Educational Researcher, 1989
Presents a unified concept of test validity that integrates both the scientific and ethical considerations of test interpretation and use. Argues that the appropriateness, meaningfulness, and usefulness of score-based inferences are inseparable, and that this integration is based on construct validity. (FMW)
Descriptors: Construct Validity, Ethics, Scores, Social Influences
Cliff, Norman – 1984
In almost all applications of measurement there is some sort of response by a human subject. Almost always, the response scale is ordinal, but almost always it is treated as if it were an interval measure. Methods for treating data ordinally are currently being developed in three areas: ordinal analysis for questionnaire responses, ordinal…
Descriptors: Multiple Regression Analysis, Questionnaires, Research Problems, Scores

Yen, Wendy M. – Psychometrika, 1983
Tau-equivalence means that two tests produce equal true scores for individuals but that the distribution of errors for the tests could be different. This paper examines the effect of performing equipercentile equating techniques on tau-equivalent tests. (JKS)
Descriptors: Equated Scores, Latent Trait Theory, Psychometrics, Scores
Wheeler, Patricia H. – 1993
A person's obtained score on a test provides an estimate of the individual's "true" score on that test. The obtained score is considered to have two parts, the true component and the error component. Classical test theory assumes that obtained scores for an individual over multiple administrations of the same test will lie symmetrically…
Descriptors: Cutting Scores, Error of Measurement, Scores, Statistical Distributions
Kamil, Michael S.; Tierney, Robert J. – Illinois Schools Journal, 1988
In conjunction with testing mandates, some states have developed new measures intended to reflect changes in thinking about reading. Discusses, in dialogue form, whether these new measures support educational improvement or limit them. (BJV)
Descriptors: Educational Assessment, Educational Improvement, Reading Tests, Scores
Cizek, Gregory J.; Crocker, Linda; Frisbie, David A.; Mehrens, William A.; Stiggins, Richard J. – Educational Measurement: Issues and Practice, 2006
The authors describe the significant contributions of Robert Ebel to educational measurement theory and its applications. A biographical sketch details Ebel's roots and professional resume. His influence on classroom assessment views and procedures are explored. Classic publications associated with validity, reliability, and score interpretation…
Descriptors: Test Theory, Educational Assessment, Psychometrics, Test Reliability

Blixt, Sonya L.; Shama, Deborah D. – Educational and Psychological Measurement, 1986
Methods of estimating the standard error at different ability levels were compared. Overall, it was found that at a given ability level the standard errors calculated using different formulas are not appreciably different. Further, for most situations the traditional method of calculating a standard error probably provides sufficient precision.…
Descriptors: College Freshmen, Error of Measurement, Higher Education, Mathematics Achievement

Tittle, Carol Kehr – Educational Measurement: Issues and Practice, 1989
An expanded framework for validating tests is needed to include the perspectives of teachers and students as well as of test makers and scientists. The development of educational assessments must take place within an understanding of how tests are used in context. (SLD)
Descriptors: Educational Assessment, Elementary Secondary Education, Evaluation Utilization, Learning Processes
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