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Peer reviewedWhitely, Susan E.; Dawis, Rene V. – Journal of Educational Measurement, 1974
Descriptors: Error of Measurement, Item Analysis, Matrices, Measurement Techniques
Peer reviewedHaladyna, Thomas Michael – Journal of Educational Measurement, 1974
Classical test construction and analysis procedures are applicable and appropriate for use with criterion referenced tests when samples of both mastery and nonmastery examinees are employed. (Author/BB)
Descriptors: Criterion Referenced Tests, Item Analysis, Mastery Tests, Test Construction
Peer reviewedWoodson, M. I. Charles E. – Journal of Educational Measurement, 1974
The basis for selection of the calibration sample determines the kind of scale which will be developed. A random sample from a population of individuals leads to a norm-referenced scale, and a sample representative of abilities of a range of characteristics leads to a criterion-referenced scale. (Author/BB)
Descriptors: Criterion Referenced Tests, Discriminant Analysis, Item Analysis, Test Construction
Peer reviewedBramble, William J.; Wiley, David E. – Multivariate Behavioral Research, 1974
Descriptors: Content Analysis, Item Analysis, Personality Assessment, Psychological Testing
Peer reviewedPearce, W. Parnett; Wiebe, Bernie – Educational and Psychological Measurement, 1975
Determines the reliability and discrimination values of each item; whether items judged highly intimate by Jourard discriminate between high and low disclosers more than items judged lowly intimate; and sex differences in disclosure. (Author)
Descriptors: College Students, Item Analysis, Questionnaires, Self Concept
Gorth, W.; and others – Educ Psychol Meas, 1969
Research performed pursuant to a grant from the Charles F. Kettering Foundation.
Descriptors: Computer Programs, Data Processing, Educational Research, Item Analysis
Garrison, Wayne M.; Stanwyck, Douglas J. – 1979
The susceptibility to faking on the Tennessee Self Concept Scale was examined among college students. Additionally, groups of respondents, instructed to respond in a "random" fashion to pre-determined numbers of items in the TSCS, were subjected to a plausibility analysis of their test response vectors using the Rasch measurement model.…
Descriptors: College Students, Higher Education, Item Analysis, Response Style (Tests)
Tatsuoka, Kikumi K.; Tatsuoka, Maurice M. – 1980
An index measuring the degree to which a binary response pattern conforms to some baseline pattern was defined and named the Pattern Conformity Index (PCI). One way of conceptualizing what the PCI measures is the extent to which each individual's particular response pattern contributes to, or detracts from, the overall consistency found in the…
Descriptors: Error Patterns, Goodness of Fit, Item Analysis, Mathematical Models
Kokosh, John – 1979
A procedure for rapid screening of variables as potential moderators is presented and discussed. A moderator is defined as any variable which can be used to identify differentially predictable persons; or defined statistically by stating that if a predictor and a moderator are each divided into three or more categories and used as independent…
Descriptors: Analysis of Variance, Discriminant Analysis, Item Analysis, Multiple Regression Analysis
2800 PERSONALITY TRAIT DESCRIPTORS--NORMATIVE OPERATING CHARACTERISTICS FOR A UNIVERSITY POPULATION.
NORMAN, WARREN T. – 1967
ALL TERMS IN CONTEMPORARY AMERICAN ENGLISH WHICH PERTAIN TO ASPECTS OF HUMAN BEHAVIOR OR PERSONAL CHARACTERISTICS WERE ASSEMBLED FROM AVAILABLE LEXICONS. THESE TERMS WERE CATEGORIZED INTO 15 RUBRICS ON THE BASIS OF JUDGMENTS OF THEIR FAMILIARITY, SPECIFICITY, AND CERTAIN BROAD SEMANTIC CRITERIA. SOME 2,800 TERMS WERE IDENTIFIED WHICH SEEMINGLY…
Descriptors: Classification, College Students, Data Analysis, Individual Characteristics
Lewy, Arieh – 1970
Statistical procedures employed in item analysis are based on the performance of the individual on a given test. If, however, one desires to assess the efficiency of some treatment, the researcher is interested in the performance of groups of students who received the treatment rather than in the performance of any one individual. In such cases…
Descriptors: Achievement Tests, Correlation, Group Norms, Group Testing
The Reliability and Concurrent Validity of Objective Spelling Tests With and Without Optional Items.
Hitti, Fred Joseph – 1969
To compare the means, reliability coefficients, and concurrent validity coefficients for four tests, two with and two without optional items; and to determine if pupils could select items that would improve their scores, 210 seventh grade pupils were first administered the seventh grade spelling subtest of the Iowa Tests of Basic Skills. They were…
Descriptors: Grade 7, Item Analysis, Objective Tests, Spelling
Fremer, John; Anastasio, Ernest J. – 1968
Computers have been used successfully in test assembly following the cooperation of test specialists and computer specialists in systematic analyses of the test-assembly process. Systematic exploration of the item-writing process may well make it possible for the computer to take on some of the less creative portions of item writing. The current…
Descriptors: Computer Assisted Instruction, Computer Programs, Educational Technology, Item Analysis
Martuza, Victor R.; Bassett, Denise – 1974
Fifty-eight undergraduate and graduate student volunteers participated in a factorial experiment designed to test hypotheses about the effects of two levels of information organization and four types of adjunct prequestion treatments on performance on specific amount items and two types of items organized in the same manner as the graphical…
Descriptors: College Students, Graphs, Item Analysis, Organization
Bratfisch, Oswald; And Others – 1972
Three tests of intellectual performance capacity referring to factors V, S, and R, according to Thurstone's system of primary mental abilities were administered to a total number of 34 subjects. Immediately after finishing an individual item, subjects were asked to estimate the perceived difficulty of that item. The ratings were to be given on a…
Descriptors: Difficulty Level, Intelligence Tests, Item Analysis, Perception


