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Wise, Steven L.; Kingsbury, G. Gage – Journal of Educational Measurement, 2016
This study examined the utility of response time-based analyses in understanding the behavior of unmotivated test takers. For the data from an adaptive achievement test, patterns of observed rapid-guessing behavior and item response accuracy were compared to the behavior expected under several types of models that have been proposed to represent…
Descriptors: Achievement Tests, Student Motivation, Test Wiseness, Adaptive Testing

Albanese, Mark A. – Journal of Educational Measurement, 1988
Estimates of the effects of use of formula scoring on the individual examinee's score are presented. Results for easy, moderate, and hard tests are examined. Using test characteristics from several studies shows that some examinees would increase scores substantially if they were to answer items omitted under formula directions. (SLD)
Descriptors: Difficulty Level, Guessing (Tests), Scores, Scoring Formulas

Wilcox, Rand R. – Journal of Educational Measurement, 1982
A new model for measuring misinformation is suggested. A modification of Wilcox's strong true-score model, to be used in certain situations, is indicated, since it solves the problem of correcting for guessing without assuming guessing is random. (Author/GK)
Descriptors: Achievement Tests, Guessing (Tests), Mathematical Models, Scoring Formulas

Rowley, Glenn L.; Traub, Ross E. – Journal of Educational Measurement, 1977
The consequences of formula scoring versus number right scoring are examined in relation to the assumptions commonly made about the behavior of examinees in testing situations. The choice between the two is shown to be dependent upon having reduced error variance or unbiasedness as a goal. (Author/JKS)
Descriptors: Error of Measurement, Scoring Formulas, Statistical Bias, Test Wiseness

Frary, Robert B. – Journal of Educational Measurement, 1989
Responses to a 50-item, 4-choice test were simulated for 1,000 examinees under conventional formula-scoring instructions. Based on 192 simulation runs, formula scores and expected formula scores were determined for each examinee allowing and not allowing for inappropriate omissions. (TJH)
Descriptors: Computer Simulation, Difficulty Level, Guessing (Tests), Multiple Choice Tests
Kim, Dong-In; Brennan, Robert; Kolen, Michael – Journal of Educational Measurement, 2005
Four equating methods (3PL true score equating, 3PL observed score equating, beta 4 true score equating, and beta 4 observed score equating) were compared using four equating criteria: first-order equity (FOE), second-order equity (SOE), conditional-mean-squared-error (CMSE) difference, and the equi-percentile equating property. True score…
Descriptors: True Scores, Psychometrics, Equated Scores, Item Response Theory

Lord, Frederic M. – Journal of Educational Measurement, 1975
The assumption that examinees either know the answer to a test item or else guess at random is usually totally implausible. A different assumption is outlined, under which formula scoring is found to be clearly superior to number right scoring. (Author)
Descriptors: Guessing (Tests), Multiple Choice Tests, Response Style (Tests), Scoring

Wilcox, Rand R.; Harris, Chester W. – Journal of Educational Measurement, 1977
Emrick's proposed method for determining a mastery level cut-off score is questioned. Emrick's method is shown to be useful only in limited situations. (JKS)
Descriptors: Correlation, Cutting Scores, Mastery Tests, Mathematical Models

Brandenburg, Dale C.; Whitney, Douglas R. – Journal of Educational Measurement, 1972
Primary purpose of this study was to investigate the effect of various scoring methods on the reliability and validity of the Primary Test of Economic Understanding (PTEU). the PTEU was designed to be scored using the matched pair procedure. (Authors)
Descriptors: Grade 3, Objective Tests, Response Style (Tests), Scoring Formulas

Hansen, Richard – Journal of Educational Measurement, 1971
The relationship between certain personality variables and the degree to which examines display certainty in their responses was investigated. (Author)
Descriptors: Guessing (Tests), Individual Characteristics, Multiple Choice Tests, Personality Assessment

Dorans, Neil J. – Journal of Educational Measurement, 1986
The analytical decomposition demonstrates how the effects of item characteristics, test properties, individual examinee responses, and rounding rules combine to produce the item deletion effect on the equating/scaling function and candidate scores. The empirical portion of the report illustrates the effects of item deletion on reported score…
Descriptors: Difficulty Level, Equated Scores, Item Analysis, Latent Trait Theory

Harris, Chester W. – Journal of Educational Measurement, 1973
A brief note presenting algebraically equivalent formulas for the variances of three error types. (Author)
Descriptors: Algebra, Analysis of Covariance, Analysis of Variance, Error of Measurement

Collet, Leverne S. – Journal of Educational Measurement, 1971
The purpose of this paper was to provide an empirical test of the hypothesis that elimination scores are more reliable and valid than classical corrected-for-guessing scores or weighted-choice scores. The evidence presented supports the hypothesized superiority of elimination scoring. (Author)
Descriptors: Evaluation, Guessing (Tests), Multiple Choice Tests, Scoring Formulas

Baskin, David – Journal of Educational Measurement, 1975
Traditional test scoring does not allow the examination of differences among subjects obtaining identical raw scores on the same test. A configuration scoring paradigm for identical raw scores, which provides for such comparisons, is developed and illustrated. (Author)
Descriptors: Elementary Secondary Education, Individual Differences, Mathematical Models, Multiple Choice Tests

Albanese, Mark A. – Journal of Educational Measurement, 1986
This study reexamines results reported by Angoff and Schrader regarding formula directions and rights directions for standardized tests. Methodological concerns are discussed and additional data analyses undertaken. Alternative interpretations of the data and suggestions for additional research are proposed. (Author/LMO)
Descriptors: College Entrance Examinations, Guessing (Tests), High Schools, Higher Education
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