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Brooks, Gordon P.; Barcikowski, Robert S.; Robey, Randall R. – 1999
The meaningful investigation of many problems in statistics can be solved through Monte Carlo methods. Monte Carlo studies can help solve problems that are mathematically intractable through the analysis of random samples from populations whose characteristics are known to the researcher. Using Monte Carlo simulation, the values of a statistic are…
Descriptors: Computer Simulation, Monte Carlo Methods, Research Methodology, Sampling
Barnette, J. Jackson; McLean, James E. – 2000
Eta-Squared (ES) is often used as a measure of strength of association of an effect, a measure often associated with effect size. It is also considered the proportion of total variance accounted for by an independent variable. It is simple to compute and interpret. However, it has one critical weakness cited by several authors (C. Huberty, 1994;…
Descriptors: Effect Size, Monte Carlo Methods, Sampling, Statistical Bias
Swaminathan, Hariharan; Hambleton, Ronald K.; Sireci, Stephen G.; Xing, Dehui; Rizavi, Saba M. – 2003
The primary objective of this study was to investigate how incorporating prior information improves estimation of item parameters in two small samples. The factors that were investigated were sample size and the type of prior information. To investigate the accuracy with which item parameters in the Law School Admission Test (LSAT) are estimated,…
Descriptors: Estimation (Mathematics), Item Response Theory, Sample Size, Sampling
Fan, Xitao; Wang, Lin – 1999
The popularity of sample surveys in evaluation and research makes it necessary for consumers to tell a good survey from a poor one. Several sources were identified that gave advice on how to evaluate a sample design used in a survey study. The sources are either too limited or too extensive to be useful practically. The purpose of this paper is to…
Descriptors: Evaluation Methods, Research Design, Research Methodology, Sampling
Peer reviewed Peer reviewed
Shoemaker, David M.; Knapp, Thomas R. – Journal of Educational Measurement, 1974
Descriptors: Classification, Definitions, Item Sampling, Subject Index Terms
Peer reviewed Peer reviewed
Kutina, Kenneth L. – Journal of Medical Education, 1973
Descriptors: Faculty, Higher Education, Medical Education, Program Costs
Peer reviewed Peer reviewed
Sabers, Darrell L.; Klausmeier, Richard D. – Journal of Educational Measurement, 1971
Descriptors: Measurement Techniques, Raw Scores, Sampling, Statistical Analysis
Snelling, W. Rodman – J Educ Res, 1969
"This study involving 1,452 liberal Arts College science graduates has shown that a personalized approach can elicit an excellent response to a mailed questionnaire. (Author)
Descriptors: College Graduates, Data Collection, Questionnaires, Research
Spirer, Herbert F. – Journal of Business Education, 1972
Descriptors: Business Education, Computer Assisted Instruction, Sampling, Simulation
Peer reviewed Peer reviewed
Smith, Robert A. – Psychometrika, 1971
Descriptors: Data Analysis, Data Collection, Groups, Probability
Peer reviewed Peer reviewed
Geisser, Seymour; Kappenman, Russell F. – Psychometrika, 1971
Descriptors: Bayesian Statistics, Mathematics, Probability, Profiles
Peer reviewed Peer reviewed
Shoemaker, David M. – Journal of Educational Measurement, 1971
Results indicate that scale values can be approximated satisfactorily through item-examinee sampling. Defining one observation as the response made by one examinee to one item, the similarity between the estimated scale values and normative scale values increased generally with increases in the number of observations acquired by the sampling plan.…
Descriptors: Attitudes, Item Sampling, Norms, Statistical Analysis
Exceptional Parent, 1972
Explained for parents is the logic involved in the design of psychological tests. (KW)
Descriptors: Parent Education, Psychological Testing, Sampling, Test Construction
West, Philip W.; Sachdev, Sham L. – J Chem Educ, 1969
Descriptors: Air Pollution, Chemistry, Laboratory Procedures, Sampling
Peer reviewed Peer reviewed
Willson, Victor L. – Evaluation and Program Planning: An International Journal, 1981
It is argued that time generalizability exists independent of population and situation generalizability, although the three may interact. Problems associated with sampling and randomization efficacy over time are discussed. (Author/GK)
Descriptors: Generalization, Research Design, Research Problems, Sampling
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