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Sirotnik, Kenneth – 1969
Significant cost savings can be achieved with the use of matrix sampling in estimating population parameters from psychometric data. The statistical design is intuitively simple, using the framework of the two-way classification analysis of variance technique. For example, the mean and variance are derived from the performance of a certain grade…
Descriptors: Analysis of Variance, Bibliographies, Literature Reviews, Psychometrics
Feir, Betty J.; Toothaker, Larry E. – 1974
Researchers are often in a dilemma as to whether parametric or nonparametric procedures should be cited when assumptions of the parametric methods are thought to be violated. Therefore, the Kruskal-Wallis test and the ANOVA F-test were empirically compared in terms of probability of a Type I error and power under various patterns of mean…
Descriptors: Analysis of Variance, Comparative Analysis, Nonparametric Statistics, Sampling
Peer reviewed Peer reviewed
Campbell, Donald T. – New Directions for Program Evaluation, 1986
Confusion about the meaning of validity in quasi-experimental research can be addressed by carefully relabeling types of validity. Internal validity can more aptly be termed "local molar causal validity." More tentatively, the "principle of proximal similarity" can be substituted for the concept of external validity. (Author)
Descriptors: Definitions, Quasiexperimental Design, Sampling, Social Science Research
Peer reviewed Peer reviewed
Barcikowski, Robert S. – Journal of Experimental Education, 1973
It is the purpose of this paper to provide social scientists with some insight in dealing with Type 11 error, that is, the probability of failing to reject a false null hypothesis, and therefore, optimum sample size and number of levels, in the random-effects analysis of variance. (Author/RK)
Descriptors: Analysis of Variance, Educational Research, Sampling, Social Sciences
Peer reviewed Peer reviewed
Katzer, Jeffrey; Sodt, James – Journal of Communication, 1973
This study presents the results of statistical use in the field of communication as evidenced by the research published in the last two years of the Journal of Communication. (Author/RK)
Descriptors: Communications, Research, Sampling, Scholarly Journals
Peer reviewed Peer reviewed
Kaiser, Henry F.; Hunka, Steve – Educational and Psychological Measurement, 1973
Authors conclude that, in the world of real data sample correlation matrices, Guttman's stronger lower bound is not of practical use in determining the effective number of common factors. (Authors/CB)
Descriptors: Factor Analysis, Factor Structure, Item Sampling, Mathematical Applications
Peer reviewed Peer reviewed
D'Agostino, Ralph B. – Journal of Educational Measurement, 1971
Relations between standard statistical techniques for analyzing dichotomous data and ANOVA procedures are indicated. The need for usefulness of analyzing transformed data as opposed to direct analysis of dichotomous data are discussed. Required statistical procedures employing transformed data are outlined. (Author/AG)
Descriptors: Analysis of Variance, Data Analysis, Interaction, Sampling
Peer reviewed Peer reviewed
Barcikowski, Robert S. – Educational and Psychological Measurement, 1972
Copies of a source listing of this program can be obtained by writing to author at Ohio University, Athens, Ohio. (MB)
Descriptors: Analysis of Variance, Computer Programs, Input Output, Program Descriptions
Terry, Roger L.; Campbell, W. J. – Comp Educ Rev, 1970
In a study of teacher role, the collection of data from a sample of teachers in the United States, Britain, Australia, and New Zealand is described, and the techniques used to analyze the data are discussed. (DB)
Descriptors: Comparative Analysis, Data Collection, Questionnaires, Research Methodology
Peer reviewed Peer reviewed
Knapp, Thomas R. – Educational Administration Quarterly, 1983
Much of educational administration research suffers from lack of conformity between data analysis and research design, inattention to the test/retest stability of measurement instruments, and the use of statistics for nominal or interval data with ordinal data, random-sample statistics with nonrandom samples, and unnecessarily complex statistical…
Descriptors: Educational Administration, Educational Research, Reliability, Research Design
Austin, Dean A.; Novak, Carl D. – Health Education (Washington D.C.), 1978
An expanded multiple matrix sampling procedure to collect assessment data for health education courses in upper elementary and junior high schools is outlined. This supplement to the Cooperative Health Education Test provides data at the school building and district levels. (JMF)
Descriptors: Educational Assessment, Educational Objectives, Health Education, Item Sampling
Peer reviewed Peer reviewed
Ross, Michael R. – Journal of Chemical Education, 2000
Presents an experiment on the sampling process including sample size and particle size. (YDS)
Descriptors: Chemistry, Higher Education, Laboratory Experiments, Sample Size
Peer reviewed Peer reviewed
Hartman, JudithAnn R. – Journal of Chemical Education, 2000
Presents a laboratory experiment in which students study the sampling of solids and statistical analysis. (YDS)
Descriptors: Chemical Analysis, Chemistry, Higher Education, Laboratory Experiments
Ward, Barbara – 1980
The National Assessment of Educational Progress (NAEP) has completed two assessments of mathematics, the first conducted in 1972-73 and the second during 1977-78. Each assessment surveyed the mathematics achievement of American 9-, 13-, and 17-year-olds, using a deeply stratified, multi-stage probability sample design. This report documents…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Assessment
Suskie, Linda A. – 1988
A guide to survey research is presented for both novice and experienced researchers. Steps of the survey research process are covered: (1) planning the survey to determine the purpose of the study, collecting background information, designing the sample, and making a time line for completing the project; (2) questionnaire design, including the…
Descriptors: Higher Education, Institutional Research, Measurement Techniques, Questionnaires
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