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| Guessing (Tests) | 23 |
| Scoring Formulas | 23 |
| Test Validity | 23 |
| Multiple Choice Tests | 17 |
| Test Reliability | 16 |
| Scoring | 7 |
| Confidence Testing | 6 |
| Test Interpretation | 6 |
| Testing | 6 |
| Response Style (Tests) | 5 |
| Weighted Scores | 5 |
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| Educational and Psychological… | 4 |
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| Reports - Research | 7 |
| Journal Articles | 3 |
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Peer reviewedWaters, Brian K. – Journal of Educational Research, 1976
This pilot study compared two empirically-derived, option-weighting methods and the resultant effect on the reliability and validity of multiple choice test scores as compared with conventional rights-only scoring. (MM)
Descriptors: Guessing (Tests), Measurement, Multiple Choice Tests, Scoring
Peer reviewedReilly, Richard R. – Educational and Psychological Measurement, 1975
Because previous reports have suggested that the lowered validity of tests scored with empirical option weights might be explained by a capitalization of the keying procedures on omitting tendencies, a procedure was devised to key options empirically with a "correction-for-guessing" constraint. (Author)
Descriptors: Achievement Tests, Graduate Study, Guessing (Tests), Scoring Formulas
Validity and Likability Ratings for Three Scoring Instructions for a Multiple-Choice Vocabulary Test
Peer reviewedWaters, Carrie Wherry; Waters, Lawrence K. – Educational and Psychological Measurement, 1971
Descriptors: Guessing (Tests), Multiple Choice Tests, Response Style (Tests), Scoring Formulas
Peer reviewedAustin, Joe Dan – Psychometrika, 1981
On distractor-identification tests students mark as many distractors as possible on each test item. A grading scale is developed for this type testing. The score is optimal in that it yields an unbiased estimate of the student's score as if no guessing had occurred. (Author/JKS)
Descriptors: Guessing (Tests), Item Analysis, Measurement Techniques, Scoring Formulas
Peer reviewedFrary, 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
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 reviewedFrary, 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
Reilly, Richard R. – 1972
Because previous reports have suggested that the lowered validity of tests scored with empirical option weights might be explained by a capitalization of the keying procedures on omitting tendencies, a procedure was devised to key options empirically with a "correction-for-guessing" constraint. Use of the new procedure with Graduate…
Descriptors: Correlation, Data Analysis, Guessing (Tests), Mathematical Applications
Peer reviewedCollet, 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
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
Jacobs, Stanley S. – 1974
Investigated were the effects of two levels of penalty for incorrect responses on two dependent variables (a measure of risk-taking or confidence, based on nonsense items, and the number of response-attempts to legitimate items) for three treatment groups in a 2x3, multi-response repeated measures, multivariate ANOVA (Analysis of Variance) design.…
Descriptors: Confidence Testing, Criterion Referenced Tests, Guessing (Tests), Multiple Choice Tests
Peer reviewedTraub, Ross E.; Hambleton, Ronald K. – Educational and Psychological Measurement, 1973
Descriptors: Grade 8, Guessing (Tests), Multiple Choice Tests, Pacing
Peer reviewedKoehler, Roger A. – Journal of Educational Measurement, 1971
Descriptors: Achievement Tests, Comparative Analysis, Confidence Testing, Grade 11
Peer reviewedDiamond, James J. – Journal of Educational Measurement, 1975
Investigates the reliability and validity of scores yielded from a new scoring formula. (Author/DEP)
Descriptors: Guessing (Tests), Multiple Choice Tests, Objective Tests, Scoring
Koehler, Roger A. – 1974
A potentially valuable measure of overconfidence on probabilistic multiple-choice tests was evaluated. The measure of overconfidence was based on probabilistic responses to nonsense items embedded in a vocabulary test. The test was administered under both confidence response and conventional choice response directions to 208 undergraduate…
Descriptors: Confidence Testing, Guessing (Tests), Measurement Techniques, Multiple Choice Tests
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