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Peer reviewedSchroeder, Lee L. – Educational and Psychological Measurement, 1975
Describes a program system which was developed for the purpose of making estimates about the nature of the distribution of test scores which will result from an administration of a test composed of items of which estimates of item-difficulty and discrimination are available. (Author/RC)
Descriptors: Computer Programs, Item Analysis, Pretesting, Simulation
Peer reviewedSilverstein, A. B.; Fisher, Gary – Multivariate Behavioral Research, 1975
Responses of male prisoners to the Personal Orientation Inventory were clustered, using hierarchical linkage analysis. Six second-order clusters accounted for all the items. Reliabilities of these clusters were comparable to those of the first-order clusters. Relative validity of cluster scores and scale scores remains to be determined. (RC)
Descriptors: Cluster Analysis, Correlation, Item Analysis, Personality Measures
Peer reviewedKearns, Jack; Meredith, William – Psychometrika, 1975
Examines the question of how large a sample must be in order to produce empirical Bayes estimates which are preferable to other commonly used estimates, such as proportion correct observed score. (Author/RC)
Descriptors: Bayesian Statistics, Item Analysis, Probability, Sampling
Gorth, W.; Grayson, A. – Educ Psychol Meas, 1969
Research performed pursuant to a grant from the Charles F. Kettering Foundation.
Descriptors: Computer Programs, Data Processing, Item Analysis, Printing
Wofford, J. C.; Willoughby, T. L. – Calif J Educ Res, 1969
Descriptors: Correlation, Item Analysis, Sampling, Test Construction
Waters, L. K. – Educ Psychol Meas, 1969
Descriptors: Attitude Measures, Item Analysis, Job Satisfaction, Predictive Measurement
Grande, Peter P.; Loveless, Eugene J. – Coll Univ, 1969
Descriptors: College Environment, Item Analysis, Measurement Techniques, Test Interpretation
Starry, Allan R.; and others – J Appl Psychol, 1969
Descriptors: Career Guidance, Educational Counseling, Item Analysis, Prediction
Renzulli, Joseph S.; Paulus, Dieter H. – J Educ Meas, 1969
Descriptors: Gifted, Intelligence, Item Analysis, Screening Tests
Cox, Brenda G.; Folsom, Ralph E., Jr. – 1979
Using an empirical investigation of alternate item nonresponse adjustment procedures in a National Longitudinal Study (NLS) of missing and faulty data, it is indicated that in some cases imputation can reduce the accuracy of survey estimates. A National Sample of the high school class of 1972 is designed to provide statistics on students moving…
Descriptors: Graduate Surveys, Item Analysis, Longitudinal Studies, Statistical Analysis
Wilson, Pamela W.; And Others – 1979
The purpose of this study was to present an empirical correction of the KR21 (Kuder Richardson test reliability) formula that not only yields a closer approximation to the numerical value of the KR20 without overestimation, but also simplifies computation. This correction was accomplished by introducing several correction factors to the numerator…
Descriptors: Higher Education, Item Analysis, Mathematical Formulas, Research Reports
Forbes, Dean W.; Ingebo, George S. – 1975
A project was carried out to determine the degree of content homogeneity that a test item pool must have in order to accomplish successful Rasch calibration. Mathematics item pools were administered to upper elementary children. The items were analyzed under two conditions, with items organized into separate subtests and as a global mathematics…
Descriptors: Elementary Education, Item Analysis, Item Banks, Mathematics
Brink, Nicholas E. – 1970
A basic description of the Rasch model and a brief review of the work previously done on the model is related. Simulated data was used to test goodness of fit to the Rasch model. It was found that data with near perfect fit to the Guttman model provides perfect fit to the Rasch model, though a perfect Guttman scale collapses. Random data also…
Descriptors: Item Analysis, Mathematical Models, Rating Scales, Statistical Analysis
Durovic, Jerry J. – 1975
A test bias definition, applicable at the item-level of a test is presented. The definition conceptually equates test bias with measuring different things in different groups, and operationally equates test bias with a difference in item fit to the Rasch Model, greater than one, between groups. It is suggested that the proposed definition avoids…
Descriptors: Content Analysis, Definitions, Item Analysis, Mathematical Models
Peer reviewedKrus, David J.; Ney, Robert G. – Educational and Psychological Measurement, 1978
An algorithm for item analysis in which item discrimination indices have been defined for the distractors as well as the correct answer is presented. Also, the concept of convergent and discriminant validity is applied to items instead of tests, and is discussed as an aid to item analysis. (Author/JKS)
Descriptors: Algorithms, Item Analysis, Multiple Choice Tests, Test Items


