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Rohwer, William D.; Jensen, Arthur R. – J Educ Psychol, 1969
Reprints from: Arthur R. Jensen, School of Education, University of California, Berkeley, California 94720.
Descriptors: Age, Hypothesis Testing, Intelligence Quotient, Learning
Peer reviewedLuftig, Jeffrey T. – Journal of Studies in Technical Careers, 1983
This article reviews some of the less well-known hypothesis tests for variance, how they are employed, and how the results may be interpreted. Tests include testing for a single variance and the T-test for correlated variances. (CT)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedCarr, John W.; And Others – Journal of Educational Statistics, 1982
Several randomized response models for gathering self-report data when persons are asked sensitive questions are reviewed. A new general model for reducing error by asking questions conditional upon earlier answers is introduced. Hypothesis testing and confidence-interval procedures are demonstrated for data collected by the randomized response…
Descriptors: Data Analysis, Hypothesis Testing, Interviews, Mathematical Models
Peer reviewedGathercole, Virginia C. – Journal of Experimental Child Psychology, 1982
Investigates potential causes of decrements in children's understanding of the words "big" and "tall" by comparing results of studies of English-speaking children and results of a study of Arabic-speaking children. (Author/RH)
Descriptors: Cognitive Processes, Comparative Analysis, Concept Formation, Hypothesis Testing
Peer reviewedLoeber, Rolf – Child Development, 1982
Studies of children who initially display high rates of antisocial behavior indicate such children are more likely to persist in this behavior than those who initially show lower rates. (Author/MP)
Descriptors: Antisocial Behavior, Behavior Development, Children, Delinquent Behavior
Peer reviewedStavig, Gordon R. – Perceptual and Motor Skills, 1982
To modify least squares estimators so that outliers arising from heavy-tailed distributions will have less influence, a robust coefficient of kurtosis, which avoids the quartic effect, is described. Aspects of Pearson's and Fisher's kurtosis coefficients are compared in the procedure. (Author/CM)
Descriptors: Estimation (Mathematics), Hypothesis Testing, Least Squares Statistics, Mathematical Formulas
Peer reviewedJames, Lawrence R.; And Others – Educational and Psychological Measurement, 1982
An analytic procedure is presented which casts sequential moderator analysis in the role of a multivariate test of parallelism of regressions. The procedure addresses a test for comparing predictor-criterion relationships for one set of measurements or multiple predictors and repeated measurements on a criterion. (Author/PN)
Descriptors: Correlation, Hypothesis Testing, Measurement Techniques, Multivariate Analysis
Peer reviewedBonett, Douglas G. – Educational and Psychological Measurement, 1982
Post-hoc blocking and analysis of covariance (ANCOVA) both employ a concomitant variable to increase statistical power relative to the completely randomized design. It is argued that the advantages attributed to the block design are not always valid and that there are circumstances when the ANCOVA would be preferred to post-hoc blocking.…
Descriptors: Analysis of Covariance, Comparative Analysis, Hypothesis Testing, Power (Statistics)
Peer reviewedWang, Marilyn D. – Educational and Psychological Measurement, 1982
Formulas for estimating the population measure of effect strength are based on the assumption that sample sizes are proportional to the sizes of their respective treatment populations. Because this assumption is frequently violated, a general method of estimating effect strength for the one-factor, fixed-effects design is presented. (Author/BW)
Descriptors: Analysis of Variance, Estimation (Mathematics), Hypothesis Testing, Mathematical Models
Peer reviewedWilliams, Richard H.; Zimmerman, Donald W. – Journal of Experimental Education, 1980
It is suggested that error of measurement cannot be routinely incorporated into the "error term" in statistical tests, and that the reliability of test scores does not have the simple relationship to statistical inference that one might expect. (Author/GK)
Descriptors: Error of Measurement, Hypothesis Testing, Mathematical Formulas, Test Reliability
Schwarz, Maria N. K.; Flammer, August – Journal of Verbal Learning and Verbal Behavior, 1981
Describes two experiments testing the hypothesis that thematic titles largely relieve the reader of the task of constructing a sense from coherent texts. Finds that such titles significantly increase free recall of structured or slightly disorganized texts, while only prolonged reading allows titles to raise recall of an unstructured text. (MES)
Descriptors: Connected Discourse, Experimental Psychology, Hypothesis Testing, Prose
Peer reviewedZak, Itai; Birenbaum, Menucha – Educational and Psychological Measurement, 1980
Kerlinger's criterial referents theory of attitudes was tested cross-culturally by administering an education attitude referents summated-rating scale to 713 individuals in Israel. The response pattern to criterial and noncriterial referents was examined. Results indicated empirical cross-cultural validity of theory, but questioned measuring…
Descriptors: Attitude Measures, Cross Cultural Studies, Educational Attitudes, Factor Structure
Peer reviewedSchmittlein, David C.; Morrison, Donald G. – Administrative Science Quarterly, 1981
Reexamines two recent papers in "Administrative Science Quarterly" (1977, EJ 167 789; 1978, EJ 188 620) by James C. March and James G. March on a study involving Wisconsin school superintendents. (Author/MLF)
Descriptors: Careers, Elementary Secondary Education, Hypothesis Testing, Models
Peer reviewedFirebaugh, Glenn – Sociological Methods and Research, 1979
The relationship between two methods for detecting group effects in nonexperimental data--covariance analysis and contextual analysis--is examined. The examination shows that contextual effects are a special case of the group effect obtained in covariance analysis. (Author/JKS)
Descriptors: Analysis of Covariance, Comparative Analysis, Context Effect, Hypothesis Testing
Peer reviewedLee, Sik-Yum – Psychometrika, 1980
This paper demonstrates the feasibility of using the penalty function method to estimate parameters that are subject to a set of functional constraints in covariance structure analysis. Both types of inequality and equality constraints are studied. The approaches of maximum likelihood and generalized least squares estimation are considered.…
Descriptors: Analysis of Covariance, Data Analysis, Factor Analysis, Hypothesis Testing


