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Peer reviewedSigall, Harold – Journal of Personality and Social Psychology, 1970
Descriptors: Attitudes, Audiences, College Students, Communication (Thought Transfer)
Peer reviewedKing, William L.; Holt, Julia Rae – Journal of Experimental Child Psychology, 1970
Information obtained in this study involving 72 girls (6-, 9-, and 12-year-olds) documents the facilitating effect of forced verbalization at three age levels. (Author/WY)
Descriptors: Analysis of Variance, Cognitive Development, Hypothesis Testing, Language Skills
Peer reviewedPoitou, Jean-Pierre – Journal of Personality and Social Psychology, 1970
Descriptors: Bias, College Students, Expectation, Hypothesis Testing
Bigham, William M. – J Res Music Educ, 1970
Descriptors: Hypothesis Testing, Learning Activities, Music Education, Musical Instruments
Barrett, Gerald V.; And Others – J Appl Psychol, 1970
Descriptors: Cognitive Processes, Conflict Resolution, Cues, Hypothesis Testing
Bronfenbrenner, Urie – J Personality Soc Psychol, 1970
Descriptors: American Culture, Comparative Analysis, Conformity, Day Schools
Holmes, David S. – J Personality Soc Psychol, 1970
Descriptors: Cognitive Processes, College Students, Experience, Hypothesis Testing
Petrich, Judith A. – J Exp Psychol, 1970
Descriptors: Associative Learning, Hypothesis Testing, Inhibition, Learning Processes
McKelvey, William W. – Admin. Sci. Quart., 1969
Descriptors: Behavior Theories, Employee Attitudes, Hypothesis Testing, Interaction
Peer reviewedHopkins, Kenneth D. – American Educational Research Journal, 1982
The recommendation to use group means when there may be nonindependence among observational units is unduly restrictive. When random factors are properly identified and included in the analysis, the results are identical in balanced analysis of variance designs, irrespective of whether group means or individual observations are employed.…
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedBlair, R. Clifford; And Others – Educational and Psychological Measurement, 1983
Sampling experiments were used to assess the Type I error rates of the t test in situations where classes were randomly assigned to groups but analyses were carried out on individual student scores. Even small amounts of between-class variation caused large inflations in the Type I error rate of the t test. (Author/BW)
Descriptors: Academic Achievement, Data Analysis, Elementary Secondary Education, Error of Measurement
Peer reviewedLocascia, Joseph J.; Cordray, David S. – Educational and Psychological Measurement, 1983
This paper demonstrates that gain score analysis and analysis of covariance (ANCOVA) will always yield conflicting results unless the slopes of within-group regression lines of posttest on pretest equal one. In Lord's specific hypothetical example, trait instability invalidates the ANCOVA. An analysis that corrects for this problem is…
Descriptors: Achievement Gains, Analysis of Covariance, Data Analysis, Higher Education
Peer reviewedGerrard, Dennis W. – History and Social Science Teacher, 1982
A method was designed to provide history students an opportunity to make interpretations and form hypotheses about historical events and eras. The teacher created representative "facts" and questions about a topic and let students use them to make their own hypotheses. A sample unit on European history, 1300-1450, is included. (KC)
Descriptors: European History, History Instruction, Hypothesis Testing, Medieval History
Peer reviewedShine, Lester C., II – Educational and Psychological Measurement, 1982
The interpretation of significant left-tailed analysis of variance (ANOVA) F-ratios is supported by considering the case of a fixed effects ANOVA model. The conclusions of this case are generalizable to other standard ANOVA models. (Author/PN)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedPratt, Jamie H.; And Others – Educational and Psychological Measurement, 1981
Attempts are made to improve the previously used procedure for multidimensional scaling in the measure of conceptual level. Monte Carlo simulation runs and a laboratory experiment highlight potential incongruities related to the degree of error in the input data required by that process. Methodological recommendations are briefly evaluated.…
Descriptors: Cognitive Measurement, Cognitive Style, Higher Education, Hypothesis Testing
