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Peer reviewedHaase, Richard F.; Ellis, Michael V. – Journal of Counseling Psychology, 1987
Provides an expository presentation of multivariate analysis (MANOVA). Addresses several questions relating to why one should use MANOVA, its structure, how MANOVA test statistics and follow-up tests are obtained and interpreted, presentation of results, and alternatives to MANOVA. Uses an example data set to illustrate these points. (Author/KS)
Descriptors: Analysis of Variance, Behavioral Science Research, Correlation, Multivariate Analysis
Cook, Tony; Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which introduces survey and sampling techniques by pretending that the user is a pollster asking one of six questions of a more or less political nature. Documentation and performance are rated fair while ease of use is considered excellent. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Higher Education, Research Methodology
Peer reviewedMontmarquette, Claude; Houle, Rachel – Journal of Economic Education, 1986
Some sample data used in economic education research may be biased because missing observations may not be random. The authors explain a technique for estimating the relationship between students who fail to take standardized tests (the missing observations) and a core of general variables that might explain this behavior. (Author)
Descriptors: Attitudes, Economic Research, Economics Education, Educational Assessment
Peer reviewedAngoff, William H.; Ford, Susan F. – Journal of Educational Measurement, 1973
Several samples of black and white students were drawn from the 1970 PSAT administration in Georgia and studies for item x race interaction on both the verbal and mathematical sections of the test. (Authors)
Descriptors: Aptitude Tests, Interaction, Item Analysis, Performance Factors
Peer reviewedShoemaker, David M. – Educational and Psychological Measurement, 1972
Descriptors: Difficulty Level, Error of Measurement, Item Sampling, Simulation
Peer reviewedForsyth, Robert A. – Educational and Psychological Measurement, 1971
Descriptors: Behavioral Science Research, Correlation, Error of Measurement, Hypothesis Testing
Peer reviewedFields, James M. – Public Opinion Quarterly, 1970
Descriptors: Metropolitan Areas, Neighborhoods, Opinions, Questionnaires
Peer reviewedShoemaker, David M.; Shoemaker, Judith Sauls – Evaluation and Program Planning: An International Journal, 1981
When evaluating the effectiveness of an educational program, multiple matrix sampling is particularly effective and efficient when the goal of the evaluation is estimating group (as opposed to individual) performance. The technique is described in some detail, with its advantages and disadvantages, and examples of its application are given.…
Descriptors: Educational Assessment, Evaluation Methods, Item Sampling, Program Effectiveness
Peer reviewedMacCallum, Robert C.; And Others – Applied Psychological Measurement, 1979
Questions are raised concerning differences between traditional metric multiple regression, which assumes all variables to be measured on interval scales, and nonmetric multiple regression. The ordinal model is generally superior in fitting derivation samples but the metric technique fits better than the nonmetric in cross-validation samples.…
Descriptors: Comparative Analysis, Multiple Regression Analysis, Nonparametric Statistics, Personnel Evaluation
Peer reviewedDurrance, Raymond E. – Journal of Education for Librarianship, 1980
Discusses the importance of a knowledge of basic statistical concepts for a librarian's education, and the problem of implementing such an introductory course. Two class exercises dealing with sampling and probability and the Central Limit Theorem are described, and 11 references are included. (BK)
Descriptors: Course Content, Course Objectives, Higher Education, Library Education
Peer reviewedLevy, Kenneth J. – Journal of Experimental Education, 1979
Dunnett's procedure for comparing K-1 treatments with a control is discussed within the context of three nonparametric models: those of Kruskal-Wallis, Friedman, and Cochran. (Author/MH)
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Nonparametric Statistics
Peer reviewedSchmitt, Alicia P.; And Others – Applied Measurement in Education, 1990
Equating two parallel forms of the College Board Biology Achievement Test using three sampling strategies was examined. For each strategy, five equating procedures were studied: Tucker and Levine equally reliable linear equatings; frequency estimation equipercentile equatings; chained equipercentile curvilinear equatings; and three-parameter…
Descriptors: Achievement Tests, Biology, College Entrance Examinations, Equated Scores
Kiger, Jack E.; Wise, Kenneth – Library Administration and Management, 1995
Discusses how to use attribute sampling to assess the accuracy of a library circulation system. Describes the nature of sampling, sampling risk, and nonsampling error. Presents nine steps for using attribute sampling to determine the maximum percentage of incorrect records in a circulation system. (AEF)
Descriptors: Error of Measurement, Guides, Library Circulation, Library Collection Development
Peer reviewedPors, Niels Ole – Journal of Documentation, 2000
Introduces some of the considerations behind the teaching of research methodology at the Royal School of Library and Information Science (Denmark) at the masters level. Discusses information retrieval experiments; sampling problems; the concept of a model; and statistical analysis and its role in information retrieval experiments. (Contains 25…
Descriptors: Foreign Countries, Information Retrieval, Information Science, Library Schools
Peer reviewedDyck, Jennifer L.; Gee, Nancy R. – Teaching of Psychology, 1998
Describes a hands-on demonstration of the concept of the sampling distribution of the mean using M&M's candy. Compares the effectiveness of the candy demonstration with that of a comparable demonstration using a textbook example. Reports that students exposed to the candy example performed better on a subsequent examination. (DSK)
Descriptors: Demonstrations (Educational), Higher Education, Norms, Psychology


