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Clopton, James R.; Neuringer, Charles – Educational and Psychological Measurement, 1977
A set of computer programs, which performs necessary item analysis and related procedures for developing new scales for the Minnesota Multiphasic Personality Inventory, is described. (Author/JKS)
Descriptors: Computer Assisted Testing, Computer Programs, Item Analysis, Measurement Techniques
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Beck, Michael D. – Journal of Educational Research, 1978
Response changes on multiple-choice items tend to improve test scores of elementary school children. (Author/MJB)
Descriptors: Elementary School Students, Error Patterns, Item Analysis, Response Style (Tests)
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Yen, Wendy M. – Psychometrika, 1987
Comparisons are made between BILOG version 2.2 and LOGIST 5.0 version 2.5 in estimating the item parameters, traits, item characteristic functions, and test characteristic functions for the three-parameter logistic model. Speed and accuracy are reported for a number of 10, 20, and 40-item tests. (Author/GDC)
Descriptors: Comparative Analysis, Computer Simulation, Computer Software, Item Analysis
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Comrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries
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Hambleton, Ronald K., Ed.; van der Linden, Wim J., Ed. – Applied Psychological Measurement, 1982
Item response theory (IRT) is having a major impact on the field of testing. This special issue presents an introduction and seven papers concerning developments in IRT applications. Some important IRT research being conducted outside the United States is highlighted. (SLD)
Descriptors: Adaptive Testing, Equated Scores, Item Analysis, Latent Trait Theory
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Hays, Ron D.; Huba, George J. – Journal of Consulting and Clinical Psychology, 1988
Considered techniques to assess self-reported drug use. Evaluated the effects of different response options on the distribution, reliability, and validity of scores on drug-use items. Suggests that more quantitative measures are not necessarily more reliable or valid than less quantitative measures of drug use. (Author/KS)
Descriptors: Drug Use, Item Analysis, Psychological Testing, Psychometrics
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Nelson, Linda D. – Journal of Consulting and Clinical Psychology, 1987
Administered Minnesota Multiphasic Personality Inventory (MMPI) to clinically depressed and nondepressed inpatients, and compared scores from its Depression scale with scores from the Beck Depression Inventory. Demonstrated a positive linear relationship between the two measures and their ability to discriminate between depressed and nondepressed…
Descriptors: Concurrent Validity, Depression (Psychology), Item Analysis, Patients
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Thissen, David; Steinberg, Lynne – Psychometrika, 1986
This article organizes models for categorical item response data into three distinct classes. "Difference models" are appropriate for ordered responses, "divide-by-total" models for either ordered or nominal responses, and "left-side added" models for multiple-choice responses with guessing. Details of the taxonomy…
Descriptors: Classification, Item Analysis, Latent Trait Theory, Mathematical Models
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Lillie, David L.; Alberg, Joni Yale – Teaching Exceptional Children, 1986
The article reviews error analysis procedures for two subtests of the Peabody Individual Achievement Test (reading recognition and reading comprehension). Suggestions are offered for composing and interpreting a pattern of errors on items from each subtest. (CL)
Descriptors: Disabilities, Elementary Secondary Education, Error Patterns, Item Analysis
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Rost, Jurgen – Psychometrika, 1985
A latent class model for rating data is presented which provides an alternative to the latent trait approach of analyzing test data. It is the analog of Andrich's binomial Rasch model for Lazarsfeld's latent class analysis (LCA). Response probabilities for rating categories follow a binomial distribution and depend on class-specific item…
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Rating Scales
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Hopkins, Kenneth D. – Journal of Special Education, 1983
This article illustrates the use of generalizability theory in special education to estimate the reliability of a measure when there is more than one source of error in the universe of inference and how the effects from changing the number of items and/or raters can be evaluated. (Author)
Descriptors: Generalization, Item Analysis, Mathematics, Research Methodology
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Costin, Frank – Teaching of Psychology, 1976
Method, results, and conclusions are discussed of a study to compare responses to 3-choice test items with responses to 4-choice items when the question or statement being presented was held constant. (Author/AV)
Descriptors: Comparative Analysis, Higher Education, Item Analysis, Psychology
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Durnin, John; Scandura, Joseph M. – Journal of Educational Psychology, 1973
The purpose of this study was to compare three technologies: the item forms technology (domain-referenced testing) of Hively et al. (1968), the hierarchical or stratified item forms technology of Ferguson (1969), and the algorithmic technology of Scandura (1971, 1973). (Author/RK)
Descriptors: Algorithms, Behavior, Data Analysis, Educational Psychology
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Matteson, Michael T.; And Others – Journal of Vocational Behavior, 1973
The Strong Vocational Interest Blank responses of 93 students were used to construct six empirical scales similar to the scales of Holland's Vocational Preference Inventory. Correlation of scale scores with VPI scores suggested that meaningful estimates of VPI profiles are obtainable by scoring selected SVIB items. (Author)
Descriptors: Career Choice, Career Counseling, College Students, Correlation
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Macready, George B.; Merwin, Jack C. – Educational and Psychological Measurement, 1973
In this paper consideration is given to the nature of the relationships among items within item forms and how these relationships compare with an ideal case for diagnostic tests in which if a person gets one item within an item form right then he would get all items within the item form correct. (Authors)
Descriptors: Criterion Referenced Tests, Diagnostic Tests, Homogeneous Grouping, Item Analysis
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