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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
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Richek, H. G. – Delta Kappa Gamma Bulletin, 1970
Descriptors: Educational Research, Research, Research Tools, Statistical Studies
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Mellenbergh, Gideon J. – Journal of Educational Statistics, 1982
Strategies for assessing item bias are discussed. Correct response probabilities in latent trait models are compared conditional on latent ability. Probabilities are compared conditional on the observed test score in Scheuneman's method. A method to assess item bias and distinguish between uniform and nonuniform bias is described. (Author/DWH)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Statistical Studies
Vinay, Jean-Paul – Metas, 1980
States that sound translation practice rests on a clear understanding of linguistic and cultural constraints combined with a punctilious search for equivalences. Describes various levels of constraint and proposes a statistical investigation of the degree of freedom left to translators, suggesting that most of the translated text results from…
Descriptors: Cultural Context, Interpreters, Linguistic Borrowing, Standards
Peer reviewed Peer reviewed
Newman, Isadore; Thomas, Jay – Multiple Linear Regression Viewpoints, 1979
Fifteen examples using different formulas for calculating degrees of freedom for power analysis of multiple regression designs worked out by Cohen are presented, along with a more general formula for calculating such degrees of freedom. (Author/JKS)
Descriptors: Hypothesis Testing, Mathematical Models, Multiple Regression Analysis, Power (Statistics)
Jackson, Andrew S.; And Others – Research Quarterly, 1978
The results of a test of reliability for skinfold fat and circumference measures (used as field methods for the measurement of body composition) are reported. (DS)
Descriptors: Body Weight, Human Body, Measurement Techniques, Physical Characteristics
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Sargent, Seymour H. – College and Research Libraries, 1979
Describes a two-phase study at Polk Library of the University of Wisconsin-Oshkosh that (1) found an apparent fallacy in the statistical procedure developed by Trueswell and (2) concluded that obsolescence could best explain the poor circulation record of little used books. (Author/JD)
Descriptors: Books, College Libraries, Library Collections, Statistical Studies
Peer reviewed Peer reviewed
Verner, Zenobia; Murphy, Louis – Clearing House, 1977
Positive changes in student attitudes toward community, school, and school subjects occurred during a four-week period in which newspapers were introduced in classrooms. (Authors)
Descriptors: Educational Media, Mass Media, Newspapers, Relevance (Education)
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Dindia, Kathryn – Communication Research, 1988
Reports the results of a study that used several statistical tests of reciprocity of self-disclosure. Finds little evidence for reciprocity of self-disclosure, and concludes that either reciprocity is an illusion, or that different or more sophisticated methods are needed to detect it. (MS)
Descriptors: Communication Research, Higher Education, Interpersonal Communication, Self Disclosure (Individuals)
Peer reviewed Peer reviewed
Dolan, Conor V.; Molenaar, Peter C. M. – Multivariate Behavioral Research, 1994
In multigroup covariance structure analysis with structured means, the traditional latent selection model is formulated as a special case of phenotypic selection. Illustrations with real and simulated data demonstrate how one can test specific hypotheses concerning selection on latent variables. (SLD)
Descriptors: Analysis of Covariance, Group Membership, Hypothesis Testing, Selection
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Fisicaro, Sebastiano A.; Tisak, John – Educational and Psychological Measurement, 1994
Examination of the stochastics of moderated multiple regression (MMR) reveals that MMR is an appropriate technique when predictors are fixed variables and the distribution of errors is normal but is not appropriate when predictors are random variables and the joint distribution of criterion and predictor variables is multivariate normal. (SLD)
Descriptors: Error Patterns, Multivariate Analysis, Predictor Variables, Statistical Distributions
Peer reviewed Peer reviewed
Mulaik, Stanley A. – Journal of Experimental Education, 1998
Argues that H. W. Marsh and K.-T. Hau (1996) misunderstood parsimony and its role in testing a hypothesis about an incompletely specified model to establish its objective validity. More parsimonious models represent more complete hypotheses having more ways of being tested and confirmed. Marsh and Hau could also have used more parsimonious…
Descriptors: Goodness of Fit, Hypothesis Testing, Statistical Studies, Structural Equation Models
Peer reviewed Peer reviewed
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Davis, Jon D.; Shih, Jeffrey C. – School Science and Mathematics, 2007
Research on student achievement within the University of Chicago School Mathematics Project (UCSMP) and Core-Plus Mathematics Project (CPMP) at the secondary level is beginning to accumulate, however, much less is known about how prepared these students are for post-secondary education. Therefore this study involving students within one tracked…
Descriptors: College Mathematics, Placement, Mathematics Achievement, Academic Achievement
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Hug, Barbara; McNeill, Katherine L. – International Journal of Science Education, 2008
In this paper, we examine how students discuss and interpret data and whether these actions vary depending on the type of data they analyse. More specifically, we are interested in whether students perform differently when analysing first-hand data, which they collect themselves, compared with second-hand data provided to them. Our data analysis…
Descriptors: Data Analysis, Grade 8, Grade 7, Primary Sources
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