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Cheong, George S. C. – J Exp Educ, 1969
The purpose of this study was to develop an instrument for measuring the experimental attitude of fourth to sixth graders, specifically in terms of John Dewey's philosophy of experimentalism. (CK)
Descriptors: Attitude Measures, Elementary School Students, Item Analysis, Language Proficiency
Golightly, Carole; And Others – Develop Psychol, 1970
Descriptors: Behavior Rating Scales, Item Analysis, Measurement Instruments, Test Reliability
Shoemaker, David M. – J Exp Educ, 1970
Descriptors: Analysis of Variance, Educational Research, Item Analysis, Test Construction
Smith, Timothy A.; Shaw Carl N. – J Educ Meas, 1969
"The usefulness of a structural analysis of pretest items in designing an instructional system is illustrated by the application of this technique to 100 addition computation problems. (Author)
Descriptors: Difficulty Level, Instructional Design, Item Analysis, Objectives
Stanley, Julian C.; Wang, Marilyn D. – Educ Psychol Meas, 1970
Descriptors: Analysis of Variance, Evaluation Criteria, Item Analysis, Test Interpretation
Wick, John W. – Educ Psychol Meas, 1970
Descriptors: Evaluation Criteria, Evaluation Methods, Item Analysis, Responses
Owens, Thomas R.; Stufflebeam, Daniel L. – J Educ Meas, 1969
Descriptors: Academic Ability, Item Analysis, Sampling, Statistical Analysis
Gupta, Ram K. – J Exp Educ, 1969
Descriptors: Achievement Tests, Factor Structure, Interaction, Item Analysis
Nitko, Anthony J.; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Difficulty Level, Factor Analysis, Hypothesis Testing, Item Analysis
Edwards, Allen L. – Educ Psychol Meas, 1969
Descriptors: Correlation, Item Analysis, Personality Assessment, Personality Measures
Peer reviewedRindskopf, David – Psychometrika, 1983
Various models have been proposed for analyzing dichotomous test or questionnaire items which were constructed to reflect an assumed underlying structure (e.g., hierarchical). This paper shows that many such models are special cases of latent class analysis and discusses a currently available computer program to analyze them. (Author/JKS)
Descriptors: Computer Programs, Item Analysis, Mathematical Models, Measurement Techniques
Peer reviewedJohnston, Judith R. – Journal of Speech and Hearing Research, 1982
Items from the Leiter International Performance Scale (LIPS) were analyzed for their conceptual versus perceptual character; these item groupings were then used to create intratest LIPS profiles for 16 language-disordered and 16 children aged 4.4 to 5.5, who were matched for CA, sex, and Leiter IQ. (Author)
Descriptors: Cognitive Development, Early Childhood Education, Item Analysis, Language Handicaps
Peer reviewedMellenbergh, Gideon J. – Journal of Educational Statistics, 1982
Strategies for assessing item bias are discussed. Correct response probabilities in latent trait models are compared conditional on latent ability. Probabilities are compared conditional on the observed test score in Scheuneman's method. A method to assess item bias and distinguish between uniform and nonuniform bias is described. (Author/DWH)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Statistical Studies
Peer reviewedBock, R. Darrell; Aitkin, Murray – Psychometrika, 1981
The practicality of using the EM algorithm for maximum likelihood estimation of item parameters in the marginal distribution is presented. The EM procedure is shown to apply to general item-response models. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Goodness of Fit, Item Analysis
Peer reviewedGynther, Malcolm D.; And Others – Journal of Consulting and Clinical Psychology, 1979
Divided the Minnesota Multiphasic Personality Inventory Pd scale into obvious (O), neutral (N), and subtle (S) subscales. Using college students results were: Pd-O scores were the most powerful predictor of criterion; Pd-S scores made a smaller but unique contribution; and Pd-N scores made no contribution not already in Pd-O criterion…
Descriptors: Adults, Item Analysis, Personality Measures, Predictive Validity
