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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
Frary, Robert B. – Educ Psychol Meas, 1969
Descriptors: Analysis of Variance, Correlation, Guessing (Tests), Multiple Choice Tests
Frary, Robert B. – Educ Psychol Meas, 1969
Descriptors: Guessing (Tests), Measurement Techniques, Multiple Choice Tests, Scoring
Peer reviewed Peer reviewed
Frary, Robert B. – Applied Psychological Measurement, 1980
Six scoring methods for assigning weights to right or wrong responses according to various instructions given to test takers are analyzed with respect to expected change scores and the effect of various levels of information and misinformation. Three of the methods provide feedback to the test taker. (Author/CTM)
Descriptors: Guessing (Tests), Knowledge Level, Multiple Choice Tests, Scores
Peer reviewed Peer reviewed
Garcia-Perez, Miguel A.; Frary, Robert B. – Applied Psychological Measurement, 1989
Simulation techniques were used to generate conventional test responses and track the proportion of alternatives examinees could classify independently before and after taking the test. Finite-state scores were compared with these actual values and with number-correct and formula scores. Finite-state scores proved useful. (TJH)
Descriptors: Comparative Analysis, Computer Simulation, Guessing (Tests), Mathematical Models
Frary, Robert B. – 1980
Ordinal response modes for multiple choice tests are those under which the examinee marks one or more choices in an effort to identify the correct choice, or include it in a proper subset of the choices. Two ordinal response modes: answer-until-correct, and Coomb's elimination of choices which examinees identify as wrong, were analyzed for scoring…
Descriptors: Guessing (Tests), Multiple Choice Tests, Responses, Scoring
Peer reviewed Peer reviewed
Frary, Robert B.; And Others – Journal of Experimental Education, 1977
To date a theoretical basis has not been developed for determining changes in reliability when score points from random guessing are eliminated and those from non-randon guessing are retained. This paper presents a derivation of an expression for the reliability coefficient which displays the effect of deleting score components due to random…
Descriptors: Data Analysis, Guessing (Tests), Multiple Choice Tests, Scoring Formulas
Peer reviewed Peer reviewed
Frary, Robert B. – Journal of Educational Statistics, 1982
Six different approaches to scoring test data, including number right, correction for guessing, and answer-until-correct, were investigated using Monte Carlo techniques. Modes permitting multiple response showed higher internal consistency, but there was little difference among modes for a validity measure. (JKS)
Descriptors: Guessing (Tests), Measurement Techniques, Multiple Choice Tests, Scoring Formulas
Frary, Robert B.; And Others – 1985
Students in an introductory college course (n=275) responded to equivalent 20-item halves of a test under number-right and formula-scoring instructions. Formula scores of those who omitted items overaged about one point lower than their comparable (formula adjusted) scores on the test half administered under number-right instructions. In contrast,…
Descriptors: Guessing (Tests), Higher Education, Multiple Choice Tests, Questionnaires
Peer reviewed Peer reviewed
Cross, Lawrence H.; Frary, Robert B. – Educational and Psychological Measurement, 1978
The reliability and validity of multiple choice test scores resutling from empirical choice-weighting of alternatives was examined under two conditions: (1) examinees were told not to guess unless choices could be eliminated; and (2) examinees were told the total score would be the total number correct. Results favored the choice-weighting…
Descriptors: Guessing (Tests), Higher Education, Multiple Choice Tests, Response Style (Tests)
Frary, Robert B.; Zimmerman, Donald W. – Educ Psychol Meas, 1970
Descriptors: Error of Measurement, Guessing (Tests), Multiple Choice Tests, Probability
Peer reviewed Peer reviewed
Frary, 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
Cross, Lawrence H.; Frary, Robert B. – 1976
It has been demonstrated that corrected-for-guessing scores will be superior to number-right scores in providing estimates of examinee standing on the trait measured by a multiple-choice test, if it can be assumed that examinees can and will comply with the appropriate directions. The purpose of the present study was to test the validity of that…
Descriptors: Achievement Tests, Guessing (Tests), Individual Characteristics, Multiple Choice Tests
Peer reviewed Peer reviewed
Frary, Robert B. – Journal of Educational Measurement, 1985
Responses to a sample test were simulated for examinees under free-response and multiple-choice formats. Test score sets were correlated with randomly generated sets of unit-normal measures. The extent of superiority of free response tests was sufficiently small so that other considerations might justifiably dictate format choice. (Author/DWH)
Descriptors: Comparative Analysis, Computer Simulation, Essay Tests, Guessing (Tests)
Garcia-Perez, Miguel A.; Frary, Robert B. – 1991
A new approach to the development of the item characteristic curve (ICC), which expresses the functional relationship between the level of performance on a given task and an independent variable that is relevant to the task, is presented. The approach focuses on knowledge states, decision processes, and other circumstances underlying responses to…
Descriptors: Decision Making, Equations (Mathematics), Graphs, Guessing (Tests)
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