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Peer reviewedKrupnick, Janice; And Others – Journal of Consulting and Clinical Psychology, 1986
Examined generalizability of treatment studies by comparing solicited and nonsolicited patient groups treated or studied in clinical settings. Findings suggest it may be possible to generate comparable samples in terms of pretreatment symptomatology, however, data are too limited to permit conclusions regarding generalizability of treatment…
Descriptors: Generalization, Meta Analysis, Psychotherapy, Research Design
Peer reviewedErickson, Richard C.; Brauchle, Paul E. – Journal of Industrial Teacher Education, 1984
The purposes of this article are (1) to present a method by which social security numbers may be used to draw cluster samples of a predetermined size and (2) to describe procedures used to validate this method of drawing random samples. (JOW)
Descriptors: Research Methodology, Research Problems, Sampling, Vocational Education
Peer reviewedSerlin, Ronald C.; Kaiser, Henry F. – Educational and Psychological Measurement, 1976
Internal consistency as one rationale for item selection from the unverse of possible test items is discussed and formulae are presented which relate the maximum internal consistency of a test to the largest eigenvalue of the interitem correlation matrix. A computer program to perform these calculations is presented. (Author/JKS)
Descriptors: Computer Programs, Item Sampling, Matrices, Test Construction
Stewart, Robert G. – 2001
As meta-analytic studies have become essential in educational research, resampling methods have matured and are supported by an in-depth theoretical and applied literature base. The objective of this paper is to assist researchers in applying resampling methods to the results of meta-analysis. The rationale for resampling methods is reviewed, and…
Descriptors: Educational Research, Meta Analysis, Research Methodology, Sampling
Vos, Hans J. – 1999
The purpose of this paper is to derive optimal rules for sequential mastery tests. In a sequential mastery test, the decision is to classify a subject as a master or a nonmaster, or to continue sampling and administering another random test item. The framework of minimax sequential decision theory (minimum information approach) is used; that is,…
Descriptors: Classification, Foreign Countries, Mastery Tests, Models
McSweeney, Maryellen; Marascuilo, Leonard A. – Rev Educ Res, 1969
Descriptors: Analysis of Variance, Probability, Sampling, Simulation
Peer reviewedAlf, Edward; Abrahams, Norman – Educational and Psychological Measurement, 1971
Descriptors: Correlation, Sampling, Statistical Analysis, Statistical Significance
Schoen, James R. – J Educ Res, 1970
Conscious sampling allows the teacher to assess the comparative effectiveness of his teaching methods by measuring the conscious attention of his students to what is going on in the classroom. (CK)
Descriptors: College Students, Psychological Studies, Sampling, Teaching Methods
Peer reviewedPugh, Richard C. – Journal of Experimental Education, 1971
Descriptors: Attitude Measures, Item Analysis, Sampling, Statistical Studies
Choynowski, Mieczyslaw – J Clin Psychol, 1970
Descriptors: Child Development, Sampling, Statistical Analysis, Test Results
Peer reviewedEdinger, Joyce A.; Falk, Steven – RQ, 1981
Discusses the application of statistical sampling to the compiling of reference-desk statistics, and describes a technique that uses the Pearson correlation procedure of SPSS (Statistical Package for the Social Sciences) to determine appropriate sampling periods for keeping reference desk statistics at the University of Missouri at St. Louis. (FM)
Descriptors: Data Collection, Library Services, Reference Services, Sampling
Peer reviewedHornick, Chris W.; Overall, John E. – Journal of Educational Statistics, 1980
Estimates of sample size requirements for 2 X 2 tables, derived from three approximate formulae, were evaluated by comparison with exact calculations. Although different, the estimates derived from all three formulae were judged adequate for most practical purposes, with the most accurate results being obtained from Cohen's formula. (Author/JKS)
Descriptors: Expectancy Tables, Mathematical Formulas, Nonparametric Statistics, Sampling
Peer reviewedWeinberg, Sharon L.; Darlington, Richard B. – Journal of Educational Statistics, 1976
Problems of sampling error and accumulated rounding error in canonical variate analysis are discussed. A new technique is presented which appears to be superior to canonical variate analysis when the ratio of variables to sampling units is greater than one to ten. Examples are presented. (Author/JKS)
Descriptors: Correlation, Matrices, Multivariate Analysis, Sampling
Peer reviewedLeBlanc, William G.; Williams, Richard H. – Educational and Psychological Measurement, 1997
A large sample technique attributed to L. Marascuilo, based on the multiple comparison technique of H. Scheffe, was programmed with the Statistical Analysis System (SAS), focusing on comparisons among independent binomial samples. Use of the SAS program is discussed. (SLD)
Descriptors: Comparative Analysis, Computer Software, Sample Size, Sampling
Peer reviewedO'Neill, Edward T.; Lavoie, Brian F.; McClain, Patrick D. – Journal of Library Administration, 2001
Describes the Web Characterization Project that characterizes the use of metadata in Web documents by extracting a valid sample. Discusses Web resource discovery and description; sampling methods; metadata and embedded document description; HTML; Dublin Core metadata elements; and home pages versus internal Web pages. (Author/LRW)
Descriptors: Measurement Techniques, Metadata, Sampling, World Wide Web


