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Wofford, J. C.; Willoughby, T. L. – Calif J Educ Res, 1969
Descriptors: Correlation, Item Analysis, Sampling, Test Construction
TATE, MERLE W.; BROWN, SARA M. – 1964
TO STUDY THE EXACT DISTRIBUTIONAL DIFFERENCES BETWEEN SMALL, RELATED-SAMPLE PERCENTAGES AND THE ACCURACY OF LARGE-SAMPLE TESTS, SOME SIX HUNDRED SAMPLING DISTRIBUTIONS WERE CONSTRUCTED BY RANDOMIZATION. EXACT PROBABILITY FIGURES IN THE .204-.005 RANGE WERE TABULATED. THE TABLE OF SIGNIFICANCE VALUES EXTENDS TO SAMPLES YIELDING MATRICES VARYING IN…
Descriptors: Experimental Groups, Research Methodology, Sampling, Statistical Data
California Teachers Association, Burlingame. Dept. of Research. – 1966
In 1966, the Research Department of the California Teachers Association sent a questionnaire to a stratified random sample of California teachers. Of 2,400 questionnaires distributed, there were 2,061 (85.9 percent) usable returns. The questionnaire asked about the professional status of the teacher and his professional judgments regarding teacher…
Descriptors: Questionnaires, Sampling, State Surveys, Teacher Attitudes
Pandey, Tej N. – 1975
Standard errors of pooled mean estimate in multiple matrix sampling were compared for two procedures. The data were from tests involving items with and without replacement. The two procedures involve the formulations of Madow and Lord, and Novick; the former permits sampling of item, with or without replacement, whereas the latter is to be used…
Descriptors: Comparative Analysis, Error of Measurement, Item Sampling, Matrices
Carlson, James E.; And Others – 1975
Researchers often use the analysis of variance to test hypotheses about the means, followed by a multiple comparison technique when the F-test is significant. The technique is this study was developed by Newman (1939) and Keuls (1952). A flaw in the rationale underlying this technique was evaluated to determine whether the flaw is sufficiently…
Descriptors: Analysis of Variance, Hypothesis Testing, Sampling, Statistical Analysis
Creager, John A. – 1968
The experience of the American Council on Education's Cooperative Institutional Research Program indicates that large-scale national surveys in the domain of higher education can be performed with scientific integrity within the constraints of costs, logistics, and technical resources. The purposes of this report are to provide complete and…
Descriptors: Educational Research, Higher Education, Research, Research Methodology
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Penfield, Douglas A.; Koffler, Stephen L. – 1974
Four nonparametric alternatives to the parametric Bartlett test are presented for handling the K-sample equality of variance problem. The two sample Siegel-Tukey Test, Mood Coefficient of Alienation Test, and Klotz Test are extended to the multisample situation by the methods of Puri. A fourth alternative involving a Q-statistic procedure…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Nonparametric Statistics
Thrash, Susan K.; Porter, Andrew C. – 1974
The purpose of this paper is to prove that one currently recommended method of obtaining the reliability of an instrument defined on a population of aggregate units is invalid. This method randomly splits the aggregate into two halves, correlates the two half unit scores by a Pearson product moment correlation coefficient, and corrects the…
Descriptors: Comparative Analysis, Correlation, Measurement Techniques, Sampling
Kowitz, Gerald T.; And Others – 1973
The use of readability principles in the ERIC guidelines for abstracting suggests that abstracts should be more readable than source documents. However, information theory suggests that the compression of information would result in less readable abstracts. Abstracts and their source documents were selected randomly from each of four…
Descriptors: Abstracts, Clearinghouses, Information Sources, Information Theory
Penfield, Douglas A.; Sachdeva, Darshan – 1971
Behavioral scientists often wish to determine if a sample has been taken from a symmetric population. Similarly, classroom teachers are interested in symmetry if they wish to grade on a "curve." Previously, the sign test, the Wilcoxon test and the t-test have been used to test a hypothesis concerning the symmetry of a distribution of…
Descriptors: Hypothesis Testing, Nonparametric Statistics, Research Methodology, Sampling
Karels, Gale G. – 1971
The particulate sampling system currently in use by the Bay Area Air Pollution Control District, San Francisco, California is described in this presentation for the 12th Conference on Methods in Air Pollution and Industrial Hygiene Studies, University of Southern California, April, 1971. The method represents a practical, inexpensive tool that can…
Descriptors: Air Pollution, Environment, Kinetics, Matter
Hill, Richard K., Jr. – 1973
A model for multiple choice test-taking behavior is proposed which is different from those presently used for item sampling theory. A new theory is developed, which includes a new concept to facilitate comprehension of item sampling theory, a "number-known" score distribution. A major advantage of the model is that it accommodates data from…
Descriptors: Item Sampling, Mathematical Models, Norms, Speeches
Keesling, J. Ward – 1973
In many circumstances it is appropriate to use the school as the unit of analysis. The variables measured on students must be aggregated to form a mean for each school. However, the means derived from the students sampled in a school will tend to fluctuate around the true mean for the school in a way determined by the within-school correlations…
Descriptors: Analysis of Covariance, Data Analysis, Males, Mathematical Models
Dziuban, Charles D.; And Others – 1976
The distributional characteristics of the Kaiser-Rice measure of sampling adequacy (MSA) were investigated with sample correlation matrices from multivariate normal populations where the level of correlation (LC) was systematically varied. Two additional variables were manipulated--sample size (SS) and number of variables (NV). Ten matrices were…
Descriptors: Analysis of Variance, Correlation, Factor Analysis, Matrices
Rouse, William B.; Rouse, Sandra H. – 1976
This paper considers estimation of parameters for a model currently being used to study the Illinois Interlibrary Loan Network (ILLINET) and presents a method for determining how much data should be collected and how it should be aggregated. Four classes of model parameters discussed: demands, probabilities of success, processing times, and…
Descriptors: Data Collection, Interlibrary Loans, Item Sampling, Library Networks
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