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Plake, Barbara S.; And Others – Journal of Experimental Education, 1981
Number right and elimination scores were analyzed on a college level mathematics exam assembled from pretest data. Anxiety measures were administered along with the experimental forms to undergraduates. Results suggest that neither test scores nor attitudes are influenced by item order knowledge thereof, or anxiety level. (Author/GK)
Descriptors: College Mathematics, Difficulty Level, Higher Education, Multiple Choice Tests
Jaeger, Richard M. – 1980
Five statistical indices are developed and described which may be used for determining (1) when linear equating of two approximately parallel tests is adequate, and (2) whan a more complex method such as equipercentile equating must be used. The indices were based on: (1) similarity of cumulative score distributions; (2) shape of the raw-score to…
Descriptors: College Entrance Examinations, Difficulty Level, Equated Scores, Higher Education
Plake, Barbara S.; And Others – 1980
Number right and elimination scores were analyzed on a 48-item college level mathematics test that was assembled from pretest data in three forms by varying the item orderings: easy-hard, uniform, or random. Half of the forms contained information explaining the item arrangement and suggesting strategies for taking the test. Several anxiety…
Descriptors: Difficulty Level, Higher Education, Multiple Choice Tests, Quantitative Tests

Hsu, Tse-Chi; And Others – Journal of Experimental Education, 1984
The indices of item difficulty and discrimination, the coefficients of effective length, and the average item information for both single- and multiple-answer items using six different scoring formulas were computed and compared. These formulas vary in terms of the assignment of partial credit and the correction for guessing. (Author/BW)
Descriptors: College Entrance Examinations, Comparative Analysis, Difficulty Level, Guessing (Tests)
Hisama, Kay K.; And Others – 1977
The optimal test length, using predictive validity as a criterion, depends on two major conditions: the appropriate item-difficulty rather than the total number of items, and the method used in scoring the test. These conclusions were reached when responses to a 100-item multi-level test of reading comprehension from 136 non-native speakers of…
Descriptors: College Students, Difficulty Level, English (Second Language), Foreign Students
Church, Austin T.; Weiss, David J. – 1980
A pilot study on the development and administration of a test using a spatial reasoning problem, the 15-puzzle, is described. The test utilizes on-line capabilities of a real-time computer to record an examinee's progress on each problem through a sequence of problem-solving "moves", and to collect additional on-line data that might be…
Descriptors: Adaptive Testing, Cognitive Measurement, Computer Assisted Testing, Difficulty Level
Kingston, Neal M. – 1985
Birnbaum's three-parameter logistic item response model was used to study guessing behavior of low ability examinees on the Graduate Record Examinations (GRE) General Test, Verbal Measure. GRE scoring procedures had recently changed, from a scoring formula which corrected for guessing, to number-right scoring. The three-parameter theory was used…
Descriptors: Academic Aptitude, Analysis of Variance, College Entrance Examinations, Difficulty Level
Smith, Richard M.; Mitchell, Virginia P. – 1979
To improve the accuracy of college placement, Rasch scoring and person-fit statistics on the Comparative Guidance and Placement test (CGP) was compared to the traditional right-only scoring. Correlations were calculated between English and mathematics course grades and scores of 1,448 entering freshmen on the reading, writing, and mathematics…
Descriptors: Academic Ability, Computer Programs, Difficulty Level, Goodness of Fit