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Peer reviewedBrogden, H. E. – Psychometrika, 1977
Relationships between the Rasch test analysis model, the law of comparative judgment, and additive conjoint measurement are discussed. (Author/JKS)
Descriptors: Comparative Analysis, Mathematical Models, Measurement, Test Interpretation
Peer reviewedJackson, Paul H.; Agunwamba, Christian C. – Psychometrika, 1977
Finding and interpreting lower bounds for reliability coefficients for tests with nonhomogenous items has been a problem for psychometricians. This paper presents a mathematical formula for finding the greatest lower bound for such a coefficient. (Author/JKS)
Descriptors: Comparative Analysis, Mathematical Models, Measurement, Test Interpretation
Peer reviewedJarjoura, David – Journal of Educational Statistics, 1985
Issues regarding tolerance and confidence intervals are discussed within the context of educational measurement, and conceptual distinctions are drawn between these two types of intervals. Points are raised about the advantages of tolerance intervals when the focus is on a particular observed score rather than a particular examinee. (Author/BW)
Descriptors: Comparative Analysis, Error of Measurement, Mathematical Models, Test Interpretation
Thayer, Jerome D. – 1991
The extent to which standardized regression coefficients (beta values) can be used to determine the importance of a variable in an equation was explored. The beta value and the part correlation coefficient--also called the semi-partial correlation coefficient and reported in squared form as the incremental "r squared"--were compared for…
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Mathematical Models
Peer reviewedBrennan, Robert L.; Kane, Michael T. – Psychometrika, 1977
Using the assumption of randomly parallel tests and concepts from generalizability theory, three signal/noise ratios for domain-referenced tests are developed, discussed, and compared. The three ratios have the same noise but different signals depending upon the kind of decision to be made as a result of measurement. (Author/JKS)
Descriptors: Comparative Analysis, Criterion Referenced Tests, Error of Measurement, Mathematical Models
Peer reviewedBock, R. Darrell – Psychometrika, 1972
Descriptors: Ability Identification, Comparative Analysis, Item Analysis, Mathematical Models
Besel, Ronald – 1971
The assumptions of the Criterion-Referenced Test (CRT) model proposed by Kriewall are compared to those of Emrick and Adam's Mastery-Learning (ML) model. Testing, in the context of instructional management, serves three general purposes: performance evaluation (achievement of objectives), placement (classification of students for instruction), and…
Descriptors: Bayesian Statistics, Comparative Analysis, Criterion Referenced Tests, Cutting Scores
Peer reviewedDonoghue, John R.; Allen, Nancy L. – Journal of Educational Statistics, 1993
Forming the matching variable for the Mantel-Haenszel differential item functioning (DIF) procedure through use of the total score as the matching variable (thin) and forming the matching variable by pooling total score levels (thick) were compared in a Monte Carlo study. Reasons thick matching is superior are discussed. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Graphs
Douglass, James B. – 1979
A general process for testing the feasibility of applying alternative mathematical or statistical models to the solution of a practical problem is presented and flowcharted. The system is used to compare five models for test equating: (1) anchor test equating using classical test theory; (2) anchor test equating using the one-parameter logistic…
Descriptors: Comparative Analysis, Equated Scores, Flow Charts, Goodness of Fit
Peer reviewedTsutakawa, Robert K.; Johnson, Jane C. – Psychometrika, 1990
The conventional method of measuring ability--based on items with assumed true parameter values obtained from a pretest--is compared to a Bayesian method that deals with the uncertainties of such items. Data from a 1987 American College Testing Program mathematics test indicate that maximum likelihood/Bayesian techniques underestimate uncertainty.…
Descriptors: Ability Identification, Bayesian Statistics, College Entrance Examinations, Comparative Analysis
Steinheiser, Frederick H., Jr.; And Others – 1978
Alternative mathematical models for scoring and decision making with criterion referenced tests are described, especially as they concern appropriate test length and methods of establishing statistically valid cutting scores. Several of these approaches are reviewed and compared on formal-analytic and empirical grounds: (1) Block's approach to…
Descriptors: Comparative Analysis, Criterion Referenced Tests, Cutting Scores, Decision Making
House, Gary D. – 1979
The equivalency of achievement results obtained under Title I evaluation models A1 and C1 was examined. Data were reading comprehension and arithmetic scores on the Iowa Tests of Basic Skills, administered to fourth, sixth, and eighth grade students in St. Louis, Missouri. The St. Louis Public Schools had traditionally used Model A1, a…
Descriptors: Academic Achievement, Achievement Gains, Age Differences, Arithmetic
Tinsley, Howard E. A.; Dawis, Rene V. – 1972
This research investigated the use of the Rasch simple logistic model in item and test calibration. Tests employing word, picture, symbol, and number analogies were administered to college students, high school students, civil service clerical employees, and clients of the Minnesota Division of Vocational Rehabilitation. The results suggest that…
Descriptors: College Students, Comparative Analysis, Goodness of Fit, Government Employees
Hutten, Leah R. – 1979
Goodness of fit of raw test score data were compared, using two latent trait models: the Rasch model and the Birnbaum three-parameter logistic model. Data were taken from various achievement tests and the Scholastic Aptitude Test (Verbal). A minimum sample size of 1,000 was required, and the minimum test length was 40 items. Results indicated that…
Descriptors: Ability Identification, Achievement Tests, College Entrance Examinations, Comparative Analysis
Haladyna, Tom; Roid, Gale – 1976
Three approaches to the construction of achievement tests are compared: construct, operational, and empirical. The construct approach is based upon classical test theory and measures an abstract representation of the instructional objectives. The operational approach specifies instructional intent through instructional objectives, facet design,…
Descriptors: Academic Achievement, Achievement Tests, Career Development, Comparative Analysis


