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Peer reviewedHertzog, Christopher; Rovine, Michael – Child Development, 1985
Attempts to distill a growing technical literature on repeated-measures analysis of variance into a few simple principles for selecting an analytic technique. Argues that researchers ought not opt for a general analysis strategy when current computer technology makes it possible to select the optimal analysis technique for a given data set. (RH)
Descriptors: Analysis of Variance, Computer Software, Developmental Psychology, Hypothesis Testing
Peer reviewedOlejnik, Stephen F. – Journal of Experimental Education, 1984
This paper discusses the sample size problem and four factors affecting its solution: significance level, statistical power, analysis procedure, and effect size. The interrelationship between these factors is discussed and demonstrated by calculating minimal sample size requirements for a variety of research conditions. (Author)
Descriptors: Effect Size, Error of Measurement, Hypothesis Testing, Research Design
Peer reviewedKatz, Barry M.; McSweeney, Maryellen – Journal of Experimental Education, 1984
This paper developed and illustrated a technique to analyze categorical data when subjects can appear in any number of categories for multigroup designs. Post hoc procedures to be used in conjunction with the presented statistical test are also developed. The technique is a large sample technique whose small sample properties are as yet unknown.…
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Research Methodology
Peer reviewedHuberty, Carl J. – Educational and Psychological Measurement, 1983
The basic notion of variability is generalized from a univariate context to a multivariate context using two matrix functions, a determinant, and a trace, yielding a number of alternative multivariate indices of shared variation. Some problems in the interpretation of tests of multivariate hypotheses are reviewed. (Author/BW)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Hypothesis Testing
Peer reviewedBlumberg, Carol Joyce; Porter, Andrew C. – Journal of Experimental Education, 1983
The general class of continuous growth models are described and examples representative of growth models suggested for various types of academic and/or physical growth are given. The fan spread hypothesis is discussed in relationship to natural growth models, as well as differential linear growth. (PN)
Descriptors: Achievement Gains, Data Analysis, Evaluation Methods, Hypothesis Testing
Peer reviewedStavig, Gordon R. – Journal of Experimental Education, 1983
A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)
Descriptors: Computer Programs, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis
Peer reviewedStrohmer, Douglas C.; Newman, Lisa J. – Journal of Counseling Psychology, 1983
Reports two experiments relevant to the questioning strategies counselors use in testing their hypotheses about clients. Results supported the idea that counselors are able to take a tentative hypothesis about a client and test its accuracy against additional independent, unbiased observations of the client. (LLL)
Descriptors: College Students, Counseling Techniques, Counselor Performance, Data Collection
Peer reviewedHakstian, A. Ralph; Whalen, Thomas E. – Psychometrika, 1976
Details of a reasonably precise normalization technique for coefficient alpha are outlined, along with methods for estimating the variance of the normalized statistic. These procedures lead to the K-sample significance test. (RC)
Descriptors: Analysis of Variance, Comparative Analysis, Error Patterns, Hypothesis Testing
Peer reviewedMurphy, J. Patrick; And Others – Journal of Creative Behavior, 1976
Are creative people highly self-actualized? Are self-actualized people highly creative? This research project attempts to understand and define these two concepts more clearly, and to answer the above questions. (Author/RK)
Descriptors: Correlation, Creativity, Data Collection, Definitions
Peer reviewedOwens, Lee – Australian Journal of Education, 1976
Tries to overcome deficiencies in devising and testing indices of syntax by synthesizing the insights of both American and English research and testing the syntactic aspect of Bernstein's elaborated and restricted codes with a large, systematically classified sample of Australian schoolchildren. (Author/RK)
Descriptors: Cognitive Development, Educational Research, Hypothesis Testing, Research Design
Peer reviewedParker, J. L. – Australian Journal of Education, 1976
Introversion and extraversion, anxiety, and the fourteen personality source traits of the High School Personality Questionnaire were tested as discriminants for categorizing children as expressing aversion to physical punishment or detention. (Editor)
Descriptors: Corporal Punishment, Educational Research, Females, Hypothesis Testing
Peer reviewedWalker, Neil S.; And Others – Journal of Abnormal Psychology, 1976
Eidetic imagery involves the ability to examine a visual stimulus briefly and later project onto a neutral surface an image that represents an exact duplication of the original. This study uses the differential frequency of eidetic imagery ability between children and adults as a basis for testing the validity of hypnotic age regression.…
Descriptors: Adults, Age, Children, Eidetic Imagery
Peer reviewedWorchel, Stephen; And Others – Journal of Experimental Social Psychology, 1976
Descriptors: Aggression, Hypothesis Testing, Prediction, Psychological Studies
Peer reviewedLeonard, Russell L., Jr. – Journal of Research in Personality, 1976
Tested the hypothesis that cognitively complex judges will be more attracted to similar others than to dissimilar others, while cognitively simple judges will not be differentially attracted to similar and dissimilar others. (Author/RK)
Descriptors: Bias, Cognitive Processes, Employment Interviews, Hypothesis Testing
Hanes, John C.; Hail, Michael – 1999
Many program evaluations involve some type of statistical testing to verify that the program has succeeded in accomplishing initially established goals. In many cases, this takes the form of null hypothesis significance testing (NHST) with t-tests, analysis of variance, or some form of the general linear model. This paper contends that, at least…
Descriptors: Change, Educational Indicators, Evaluation Methods, Hypothesis Testing


