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Johnson, David E. – Teaching of Psychology, 1986
Describes a sampling demonstration, using random numbers generated on a microcomputer, that helps to make the central limit theorem concrete and understandable. (Author/JDH)
Descriptors: College Instruction, Demonstrations (Educational), Probability, Sampling
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Prochnow-LaGrow, Jane E.; And Others – Mental Retardation and Learning Disability Bulletin, 1985
Normative sampling procedures were used to determine behavioral compatibility of two disabled students considered academically ready for placement in a regular English class. The procedure compared rate of students' disruptive behavior to range and mean of disruptive behavior of the class considered for placement. (Author/CL)
Descriptors: Disabilities, Mainstreaming, Norms, Sampling
Delaney, Harold D.; Vargha, Andras – 2000
While violation of the homogeneity of variance assumption has received considerable attention, violation of the assumption of normally distributed data has not received as much attention. As a result, researchers may have the mistaken impression that as long as the assumptions of independence of observations and homogeneity of variance are…
Descriptors: Monte Carlo Methods, Sampling, Statistical Distributions
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Barcikowski, Robert S. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Sampling
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Sirotnik, Ken – Educational and Psychological Measurement, 1972
This note refers to EJ 056 482. (CB)
Descriptors: Item Analysis, Item Sampling, Mathematical Applications
Collier, Raymond O., Jr.; Larson, Robert C. – Rev Educ Res, 1969
Descriptors: Monte Carlo Methods, Probability, Sampling, Statistics
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Hillestad, Mildren – Business Education Forum, 1972
Descriptors: Business Education, Research, Research Methodology, Sampling
Peer reviewed Peer reviewed
Kaiser, Henry F. – Educational and Psychological Measurement, 1981
A revised version of Kaiser's Measure of Sampling Adequacy for factor-analytic data matrices is presented. (Author)
Descriptors: Correlation, Factor Analysis, Research Problems, Sampling
McKenzie, Leon – Perspectives in Adult Learning and Development, 1981
Presents a formula for the determination of sample size in survey research and methods for its manipulation in relation to (1) the nature of the problem; (2) the homogeneity of the population; (3) the desired degree of precision; and (4) allowable costs. (Journal availability: Department of Adult Education, Kansas State University, Manhattan, KS…
Descriptors: Adult Education, Educational Research, Sampling, Surveys
Hinrichs, John R. – Personnel, 1976
The work-sampling approach derives a composite overall picture of how an individual allocates time by taking a sufficiently large number of spot observations of activity at random intervals. (For availability, see EA 507 433.) (Author)
Descriptors: Administrators, Data Collection, Efficiency, Productivity
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Martin, Charles G. – Psychometrika, 1976
The Box-Scheffe and Z-Variance tests for homogeneity of variance are discussed and compared in light of a previous comparison in the literature. Alternative statistics to these tests are discussed and a table comparing the power of the tests is provided. (JKS)
Descriptors: Analysis of Variance, Power (Statistics), Sampling
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Levy, Kenneth J. – Educational and Psychological Measurement, 1977
Bechhofer's procedure for selecting the population with the largest mean from among several populations with known variances is discussed as it applies to the problem of selecting the bivariate normal population with the largest correlation coefficient. Tables of appropriate sample sizes are provided and an example is discussed. (Author/JKS)
Descriptors: Correlation, Research Design, Sampling, Tables (Data)
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Yung, Yiu-Fai – Psychometrika, 1997
Various types of finite mixtures of confirmatory factor analysis models are proposed for handling data heterogeneity. Proposed classes of mixture models differ in their unique representations of data heterogeneity, and three sampling schemes for these mixtures are distinguished. Advantages of the Approximate Scoring method are outlined. (SLD)
Descriptors: Data Analysis, Mathematical Models, Sampling, Scoring
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Kane, Michael – Journal of Educational Measurement, 2002
Reviews the criticisms of sampling assumptions in generalizability theory (and in reliability theory) and examines the feasibility of using representative sampling, stratification, homogeneity assumptions, and replications to address these criticisms. Suggests some general outlines for the conduct of generalizability theory studies. (SLD)
Descriptors: Generalizability Theory, Reliability, Research Methodology, Sampling
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Kalleberg, Arne L.; And Others – Administrative Science Quarterly, 1990
Compares costs and effectiveness of five organizational sampling frames (direct enumeration, unemployment insurance (UI) forms, Dun and Bradstreet's Market Identifier (DMI) files, telephone directory white pages, and chamber of commerce membership directories) at identifying a population of business organizations in Durham County, North Carolina.…
Descriptors: Cost Effectiveness, Research Methodology, Sampling, Surveys
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