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Peer reviewedLucke, Joseph F.; Embretson (Whitely), Susan – Journal of Educational Statistics, 1984
The biases and mean squared errors of the sample squared multiple correlation coefficient and five adjusted estimators of the population squared multiple correlation are examined. A quadratic estimator and the minimum variance unbiased estimator are also examined. These estimators are compared in terms of absolute bias and mean squared error.…
Descriptors: Comparative Analysis, Correlation, Estimation (Mathematics), Sampling
Peer reviewedCalloway, Michael; Belyea, Michael J. – Evaluation Review, 1988
In a study of a managerial training program, two subsamples of co-workers (supervisors and subordinates) were used to validate the participants' assessments of program impact. Use of subsamples provided support in direction and magnitude of the participants' assessments and generally strengthened the validity of the findings. (TJH)
Descriptors: Concurrent Validity, Management Development, Program Evaluation, Sampling
Peer reviewedBerry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1986
An algorithm and associated FORTRAN-77 computer subroutine are described for computing Goodman and Kruskal's tau-b statistic along with the associated nonasymptotic probability value under the null hypothesis tau=O. (Author)
Descriptors: Algorithms, Computer Software, Programing Languages, Sampling
Peer reviewedFrank, Richard G.; And Others – Journal of Consulting and Clinical Psychology, 1985
Presents a statistical technique that yields consistent estimates for censored samples. Application of this technique to models related to selection bias and the presence of depression indicate that the prevalence of this disorder in mental health center populations approaches 44 percent rather than the 25 percent from a censored sample.…
Descriptors: Depression (Psychology), Patients, Research Problems, Sampling
Jeter, Clarence C.; Singleton, James M. H. – Educational Technology, 1976
By using the procedure presented in this article, instructional developers will be able to make supportable decisions about their material without going through a complex statistical exercise and, perhaps, without having a large sample size. (Author/ER)
Descriptors: Instructional Design, Program Effectiveness, Sampling, Summative Evaluation
Saldanha, Luis; Thompson, Patrick – 2002
We distinguish two conceptions of sample and sampling that emerged in the context of a teaching experiment conducted in a high school statistics class. In one conception "sample as a quasi-proportional, small-scale version of the population" is the encompassing image. This conception entails images of repeating the sampling process and…
Descriptors: Concept Formation, Mathematics Education, Sampling, Secondary Education
King, Jason E. – 1997
Theoretical hypotheses generated from data analysis of a single sample should not be advanced until the replicability issue is treated. At least one of three questions usually arises when evaluating the invariance of results obtained from a canonical correlation analysis (CCA): (1) "Will an effect occur in subsequent studies?"; (2)…
Descriptors: Correlation, Effect Size, Multivariate Analysis, Robustness (Statistics)
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 reviewedShoemaker, David M.; Knapp, Thomas R. – Journal of Educational Measurement, 1974
Descriptors: Classification, Definitions, Item Sampling, Subject Index Terms
Peer reviewedKutina, Kenneth L. – Journal of Medical Education, 1973
Descriptors: Faculty, Higher Education, Medical Education, Program Costs
Peer reviewedSabers, 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


