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Wright, Benjamin D.; Stone, Mark H. – 1979
This handbook explains how to do Rasch measurement. The emphasis is on practice, but theoretical explanations are also provided. The Forward contains an introduction to the topic of Rasch measurement. Chapters 2, 4, 5, and 7 use a small problem to illustrate the application of Rasch measurement in detail, and methodological issues are considered…
Descriptors: Item Response Theory, Mathematical Models, Measurement Techniques, Psychometrics
Mead, Ronald J. – 1981
The central idea in building and maintaining an item bank is to calibrate all the items onto a "common variable." The arithmetic involved in the calibration process is presented. It is recommended that an analysis of fit be done in every application to verify that the estimates of item difficulties are in fact sample-free. These…
Descriptors: Equated Scores, Goodness of Fit, Item Banks, Latent Trait Theory

Reynolds, Thomas J. – Educational and Psychological Measurement, 1981
Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Item Analysis

Hambleton, Ronald K.; Jones, Russell W. – Educational Measurement: Issues and Practice, 1993
This National Council on Measurement in Education (NCME) instructional module compares classical test theory and item response theory and describes their applications in test development. Related concepts, models, and methods are explored; and advantages and disadvantages of each framework are reviewed. (SLD)
Descriptors: Comparative Analysis, Educational Assessment, Graphs, Item Response Theory
Reckase, Mark D.; McKinley, Robert L. – 1983
A study was undertaken to develop guidelines for the interpretation of the parameters of three multidimensional item response theory models and to determine the relationship between the parameters and traditional concepts of item difficulty and discrimination. The three models considered were multidimensional extensions of the one-, two-, and…
Descriptors: Computer Programs, Difficulty Level, Goodness of Fit, Latent Trait Theory
Forster, Fred; Ingebo, George – 1978
In Rasch terminology, two or more tests are linked when they are joined into a pool related to a single scale. When the same item calibrates at a low level on one test and a high level on a second test, it indicates that the item is low on the first test because the other items on that test are higher, and is high on the second test because the…
Descriptors: Elementary Secondary Education, Equated Scores, Field Tests, Item Banks
Choppin, Bruce – 1982
A strategy for overcoming problems with the Rasch model's inability to handle missing data involves a pairwise algorithm which manipulates the data matrix to separate out the information needed for the estimation of item difficulty parameters in a test. The method of estimation compares two or three items at a time, separating out the ability…
Descriptors: Difficulty Level, Estimation (Mathematics), Goodness of Fit, Item Analysis
Roid, Gale H. – 1984
The goal of test item writing is to create measures of the true achievement dimensions desired, not extraneous abilities or related skills. To encourage university instructors to apply newer test item writing technologies to test construction for course examinations, this paper: (1) sets forth basic principles for quality item writing; (2) reviews…
Descriptors: Achievement Tests, Cognitive Measurement, College Faculty, College Instruction
Ingebo, George S. – 1987
Greater knowledge about the practical application of Rasch technology can help in avoiding misapplications and confusions in testing programs. Equal interval curriculum-based scaling makes possible the following improvements in measuring basic skills achievement by enabling testing programs to: (1) individualize the difficulty level of…
Descriptors: Achievement Rating, Achievement Tests, Basic Skills, Difficulty Level