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Sinharay, Sandip; Johnson, Matthew S. – Educational and Psychological Measurement, 2017
In a pioneering research article, Wollack and colleagues suggested the "erasure detection index" (EDI) to detect test tampering. The EDI can be used with or without a continuity correction and is assumed to follow the standard normal distribution under the null hypothesis of no test tampering. When used without a continuity correction,…
Descriptors: Deception, Identification, Testing Problems, Error of Measurement
Peer reviewedBurnett, J. Dale – Educational and Psychological Measurement, 1974
The general use of the Spearman-Brown formula for calculating the reliability of parallel tests with different lengths is reviewed. The importance of the assumption that the component tests be parallel is noted and the property that parallel tests must be non-negatively correlated is derived. (Author)
Descriptors: Statistical Analysis, Test Reliability, Testing Problems
Peer reviewedCziko, Gary A. – Educational and Psychological Measurement, 1984
Some problems associated with the criteria of reproducibility and scalability as they are used in Guttman scalogram analysis to evaluate cumulative, nonparametric scales of dichotomous items are discussed. A computer program is presented which analyzes response patterns elicited by dichotomous scales designed to be cumulative. (Author/DWH)
Descriptors: Scaling, Statistical Analysis, Test Construction, Test Items
Peer reviewedMiley, Alan D. – Educational and Psychological Measurement, 1980
The tendency to extreme scores (TES) can affect sensitive indices, such as Cattell's coefficient of pattern similarity, so that a flat profile will, in general, be found more similar to a standard than will an extreme profile. TES is especially critical when profile matching is used in clinical diagnosis. (Author/BW)
Descriptors: Clinical Diagnosis, Profiles, Statistical Analysis, Test Interpretation
Peer reviewedKaiser, Henry F. – Educational and Psychological Measurement, 1980
The use of Bayes' estimates for proportions in the Law of Comparative Judgment is suggested to avoid sample proportions of zero and one. (Author)
Descriptors: Bayesian Statistics, Comparative Analysis, Reliability, Statistical Analysis
Peer reviewedWhitely, Susan E.; Dawis, Rene V. – Educational and Psychological Measurement, 1975
Descriptors: Ability, Aptitude, Measurement Techniques, Models
Peer reviewedEchternacht, Gary – Educational and Psychological Measurement, 1974
Descriptors: Evaluation Criteria, Probability, Statistical Analysis, Test Bias
Peer reviewedWillson, Victor L.; Reynolds, Cecil R. – Educational and Psychological Measurement, 1984
Samples in research on individual and group differences may be selected based on whole scores which differ from the population mean. Children are diagnosed in clinical practice with a whole score. These procedures produce regression to the population mean which can affect accuracy and adequacy of part score interpretations. (Author/DWH)
Descriptors: Correlation, Intelligence Tests, Profiles, Scores
Peer reviewedCureton, Edward E. – Educational and Psychological Measurement, 1971
A derivation of a formula for the stability coefficient is presented and discussed in terms of test reliability over time. (PR)
Descriptors: Error of Measurement, Raw Scores, Statistical Analysis, Test Reliability
Peer reviewedBoldt, R. F. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Testing, Equated Scores, National Norms, Raw Scores
Willingness to Answer Multiple-Choice Questions as Manifested Both in Genuine and in Nonsense Items.
Peer reviewedFrary, Robert B.; Hutchinson, T.P. – Educational and Psychological Measurement, 1982
Alternate versions of Hutchinson's theory were compared, and one which implies the existence of partial knowledge was found to be better than one which implies that an appropriate measure of ability is obtained by applying the conventional correction for guessing. (Author/PN)
Descriptors: Guessing (Tests), Latent Trait Theory, Multiple Choice Tests, Scoring Formulas

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