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Nevo, Barukh – Educational and Psychological Measurement, 1977
Item-test correlations are compared to item test-retest correlations as measures for selecting items in test construction. The author concludes that the item test-retest method is superior for item analysis which aims at getting shorter tests while maintaining test stability. (Author/JKS)
Descriptors: College Students, Correlation, Higher Education, Item Analysis
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Ayrer, James E. – Journal of Reading, 1977
Discusses the decisions made in the development of a functional literacy test used in Philadelphia. (MKM)
Descriptors: Functional Literacy, Functional Reading, High Schools, Item Analysis
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Brown, John F. W. – English in Education, 1977
Discusses relationships between approaches to Advanced (A) level English literature and types of questions on course examinations. (AA)
Descriptors: Comparative Education, Educational Objectives, English Instruction, Foreign Countries
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Aiken, Lewis R. – Journal of Research and Development in Education, 1987
A critical review is presented of research conducted during the past 20 years on multiple-choice tests of achievement and aptitude. The design and use of multiple-choice tests is emphasized, but information concerning the socioeducational implications of relying on such tests is also included. (Author/CB)
Descriptors: Academic Achievement, Academic Aptitude, Educational Sociology, Multiple Choice Tests
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Wainer, Howard; Kiely, Gerard L. – Journal of Educational Measurement, 1987
The testlet, a bundle of test items, alleviates some problems associated with computerized adaptive testing: context effects, lack of robustness, and item difficulty ordering. While testlets may be linear or hierarchical, the most useful ones are four-level hierarchical units, containing 15 items and partitioning examinees into 16 classes. (GDC)
Descriptors: Adaptive Testing, Computer Assisted Testing, Context Effect, Item Banks
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Bond, Lloyd – Educational Measurement: Issues and Practice, 1987
This article suggests that mechanical application of Golden Rule-like procedures is inappropriate. The fundamental idea embodied in them, namely, that of taking issues of equity into account in test construction, may reasonably be done without doing violence to test validity. (JAZ)
Descriptors: Court Litigation, Item Analysis, Minority Groups, Standards
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Jaeger, Richard M. – Educational Measurement: Issues and Practice, 1987
This is a reprint of a 1986 letter by the former president of the National Council on Measurement in Education (NCME) to New York and California legislators. The author outlines why NCME is opposed to legislative initiatives to extend Golden Rule procedures to tests in those states. (JAZ)
Descriptors: Item Analysis, Letters (Correspondence), Minority Groups, Standards
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McDermott, Dana P. – Journal of Chemical Education, 1988
Examines three errors and learning difficulties found to be typical in general chemistry, gives the source of each problem, and presents a method of correcting each problem. Suggests using analysis of examination errors for the purpose of altering instruction for the improvement of student learning. (CW)
Descriptors: Chemistry, Cognitive Processes, College Science, Higher Education
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Physics Teacher, 1988
Presented is an electricity problem on simple series circuit. Provided are the problem diagram and answers with explanation. (YP)
Descriptors: Demonstrations (Educational), Electricity, Physics, Science Activities
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Cliff, Norman; And Others – Applied Psychological Measurement, 1988
A method for ordering persons and items when all responses are ordinal was developed and applied to several sets of questionnaire data (from undergraduates) and one set of archeological data. The method provides a possible nonparametric treatment of data usually treated by more traditional psychometric methods. (SLD)
Descriptors: Archaeology, Data Analysis, Data Collection, Higher Education
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Rocklin, Thomas; O'Donnell, Angela M. – Journal of Educational Psychology, 1987
An experiment was conducted that contrasted a variant of computerized adaptive testing, self-adapted testing, with two traditional tests. Participants completed a self-report of text anxiety and were randomly assigned to take one of the three tests of verbal ability. Subjects generally chose more difficult items as the test progressed. (Author/LMO)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Difficulty Level
Peer reviewed Peer reviewed
Mehrens, William A.; Phillips, S. E. – Journal of Educational Measurement, 1987
A taxonomic matrix classification was used to assess the curricular validity of the Stanford Achievement Tests for the mathematics textbooks used in a school district's fifth and sixth grades. Rasch item difficulty was also examined. Results indicated only small differences between textbooks. (GDC)
Descriptors: Difficulty Level, Elementary School Mathematics, Intermediate Grades, Item Analysis
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Diamond, James J.; McCormick, Janet – Evaluation and the Health Professions, 1986
Using item responses from an in-training examination in diagnostic radiology, the application of a strength of association statistic to the general problem of item analysis is illustrated. Criteria for item selection, general issues of reliability, and error of measurement are discussed. (Author/LMO)
Descriptors: Achievement Tests, Difficulty Level, Error of Measurement, Graduate Medical Education
Peer reviewed Peer reviewed
Divgi, D. R. – Journal of Educational Measurement, 1986
This paper discusses various issues involved in using the Rasch Model with multiple-choice tests and questions the suitability of this model for multiple-choice items. Results of some past studies supporting the model are shown to be irrelevant. The effects of the model's misfit on test equating are demonstrated. (Author JAZ)
Descriptors: Equated Scores, Goodness of Fit, Latent Trait Theory, Mathematical Models
Peer reviewed Peer reviewed
Movshovitz-Hadar, Nitsa; And Others – Journal for Research in Mathematics Education, 1987
A content-oriented analysis of written solutions to test items in Israeli high school graduation examinations in mathematics yielded six error categories: misused data; misinterpreted language; logically invalid inference; distorted theorem or definition; unverified solution; and technical error. (Authors/MNS)
Descriptors: Educational Research, Error Patterns, Mathematics Instruction, Research Reports
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