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Smets, Gerda – Percept Mot Skills, 1970
Descriptors: College Students, Decision Making, Discrimination Learning, Hypothesis Testing
Williams, Jon L. – J Exp Psychol, 1970
Descriptors: Analysis of Variance, Cognitive Processes, Cues, Hypothesis Testing
Peer reviewedKnox, David H., Jr. – Adolescence, 1970
Descriptors: Emotional Adjustment, High School Seniors, High School Students, Hypothesis Testing
Eimas, Peter D. – J Exp Child Psychol, 1969
Research supported by Grant HD 03045 from the National Institute of Child Health and Human Development, U.S. Public Health Service.
Descriptors: Discrimination Learning, Hypothesis Testing, Information Processing, Learning Processes
Peer reviewedDenison, Daniel R. – Multivariate Behavioral Research, 1982
Structural equation modeling is applied in conjunction with constrained monotone distance analysis. These alternative methods are used in an evaluation of a social-psychological model derived from Likert's theory of organizational behavior. (Author/JKS)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Multidimensional Scaling
Peer reviewedMessick, David M. – Educational and Psychological Measurement, 1982
Formulae and graphs are presented allowing computation of the variances of three prototypical distributions over a finite number of categories. The uses of the variances of the maximum variance distribution, the uniform distribution and a unimodal triangular distribution to make inferences about distribution shapes are shown in several examples.…
Descriptors: Analysis of Variance, Hypothesis Testing, Responses, Statistical Analysis
Peer reviewedMarascuilo, Leonard A.; Dagenais, Fred – Educational and Psychological Measurement, 1982
Social science researchers tend to analyze two dimensional frequency tables using Pearson's Chi-square test, which can be improved upon if the dependent variable represents an ordered qualitative characteristic. An improved modification by the Kruskal-Wallis analysis of variance on ranks is shown for a planned and post hoc analysis. (Author/CM)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Social Science Research
Peer reviewedMolenaar, Ivo W. – Psychometrika, 1983
Goodness of fit tests for the Rasch model are typically large-sample, global measures. This paper offers suggestions for small-sample exploratory techniques for examining the fit of item data to the Rasch model. (Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Item Analysis, Latent Trait Theory
Peer reviewedHumphreys, Lloyd G. – Journal of Educational Psychology, 1982
Sternberg (1981) presented correlations based on independent samples of about 25 cases each with a statistical comparison in a population parameter of zero and interpreted his results as if with appropriate tests. He needed to use a nonzero population parameter and compare for the difference between the z transformations. (Author/CM)
Descriptors: Hypothesis Testing, Intelligence Tests, Item Sampling, Psychological Studies
Peer reviewedSternberg, Robert J. – Journal of Educational Psychology, 1982
Sternberg's reply to paper Humphrey criticizes (see TM 507 045) includes: (1) invited position paper and detailed statistical testing would have been inappropriate; (2) Humphrey commits some of "misdeeds" of which he accuses Sternberg; (3) number of cases in the three nonentrenchment experiments are more than adequate for drawing conclusions; and…
Descriptors: Hypothesis Testing, Intelligence Tests, Item Sampling, Psychological Studies
Dupont, Daniel; Stolovitch, Harold D. – Performance and Instruction, 1983
Describes the process by which Learner Verification and Revision (LVR) transforms information gathered during learner verification into revision prescriptions for the development of instructional materials. Robinson's and Gropper's procedural models for formative evaluation are also discussed and a study comparing the effectiveness of materials…
Descriptors: Evaluation Methods, Feedback, Formative Evaluation, Hypothesis Testing
Peer reviewedAlgina, James – Multivariate Behavioral Research, 1982
The use of analysis of covariance in simple repeated measures designs is considered. Conditions necessary for the analysis of covariance adjusted main effects and interactions to be meaningful are presented. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Data Analysis, Hypothesis Testing
Peer reviewedRosenthal, Robert; Rubin, Donald B. – Journal of Educational Psychology, 1982
The procedures for (1) assessing the heterogeneity of a set of effect sizes derived from a meta-analysis, (2) testing for trends by means of contrasts among the effect sizes obtained, and (3) evaluating the practical importance of the average effect size obtained are described. (Author/PN)
Descriptors: Cognitive Ability, Data Analysis, Evaluation Methods, Hypothesis Testing
Peer reviewedCook, Thomas J.; Poole, W. Kenneth – Evaluation Review, 1982
The assumption of equal treatment implementation is questioned. Through the reanalysis of data from a nutrition supplementation program evaluation, the power of the analysis of treatment effects is shown to increase when data on the level of treatment implementation is included. (Author/CM)
Descriptors: Evaluation Methods, Hypothesis Testing, Power (Statistics), Program Evaluation
Peer reviewedHowe, Holly L.; Hoff, Margaret B. – Evaluation and the Health Professions, 1981
The sensitivity and simplicity of Wald's sequential analysis test in monitoring a preventive health care program are discussed. Data exemplifying the usefulness and expedience of employing sequential methods are presented. (Author/GK)
Descriptors: Evaluation Methods, Formative Evaluation, Hypothesis Testing, Preventive Medicine


