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Elster, Richard S.; Dunnette, Marvin D. – Educational and Psychological Measurement, 1971
Descriptors: Hypothesis Testing, Measurement Techniques, Probability, Sampling
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Sanjur, D.; And Others – American Journal of Clinical Nutrition, 1971
Descriptors: Dietetics, Eating Habits, Food Standards, Nutrition
Hsu, Tse-Chi; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Analysis of Variance, Data Analysis, Ratios (Mathematics), Sampling
Gumm, George; Chambers, Gurney – Phi Delta Kappan, 1970
A previous article, EA 500 335, is criticized for claiming the applicability of the CRAM model without research documentation. (MF)
Descriptors: Feedback, Models, Performance Criteria, Problem Solving
Krejcie, Robert V.; Morgan, Daryle W. – Educ Psychol Meas, 1970
A formula for determining sample size, which originally appeared in 1960, has lacked a table for easy reference. This article supplies a graph of the function and a table of values which permits easy determination of the size of sample needed to be representative of a given population. (DG)
Descriptors: Data Collection, Research Methodology, Sampling, Statistical Analysis
Haywood, H. Carl – Amer J Ment Deficiency, 1970
Descriptors: Classification, Exceptional Child Research, Mental Retardation, Research Design
Clarke, Michael J.; Venezky, David L. – J Chem Educ, 1969
Descriptors: Chemistry, College Science, Instrumentation, Laboratory Equipment
Owens, Thomas R.; Stufflebeam, Daniel L. – J Educ Meas, 1969
Descriptors: Academic Ability, Item Analysis, Sampling, Statistical Analysis
Nitko, Anthony J.; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Difficulty Level, Factor Analysis, Hypothesis Testing, Item Analysis
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Mayer, John D. – Perceptual and Motor Skills, 1983
Kelly's formula estimates sampling variance of correlation corrected for attenuation by using split-half reliabilities. In some cases, coefficient alpha estimate of reliability is preferable. A simulation study suggests a variation of Kelly's formula can be used appropriately with coefficient alpha. Kelly's formula is modified to accept…
Descriptors: Correlation, Measurement Techniques, Reliability, Sampling
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Smith, Philip L. – Educational and Psychological Measurement, 1982
Monte Carlo methods are used to explore the accuracy of a method for establishing confidence intervals for variance component estimates in generalizability studies. Previous research has shown that variance component estimation errors due to sampling are often larger than suspected. (Author/CM)
Descriptors: Estimation (Mathematics), Monte Carlo Methods, Reliability, Research Problems
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Callender, John C.; Osburn, H. G. – Journal of Educational Measurement, 1979
Some procedures for estimating internal consistency reliability may be superior mathematically to the more commonly used methods such as Coefficient Alpha. One problem is computational difficulty; the other is the possibility of overestimation due to capitalization on chance. (Author/CTM)
Descriptors: Higher Education, Mathematical Formulas, Research Problems, Sampling
Wall, Terry – Library Research, 1980
Reports a study of the distribution of use among users of a short loan collection in an academic library. Results indicate the most active one-third of all users generate between two-thirds and three-quarters of all use. A brief list of references is provided. (Author/SW)
Descriptors: Academic Libraries, Information Utilization, Library Circulation, Library Research
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Levy, Kenneth J. – Journal of Experimental Education, 1978
The purpose of this paper is to demonstrate how many more subjects are required to achieve equal power when testing certain hypotheses concerning proportions if the randomized response technique is employed for estimating a population proportion instead of the conventional technique. (Author)
Descriptors: Experimental Groups, Hypothesis Testing, Research Design, Response Style (Tests)
King, Harry A. – Research Quarterly, 1978
Some statistical considerations in applying survey sampling methods to small populations are explored. (DS)
Descriptors: Error of Measurement, Program Development, Reliability, Sampling
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