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Caldwell, Edward C.; Hall, Vernon C. – J Exp Psychol, 1970
Descriptors: Discrimination Learning, Hypothesis Testing, Learning Theories, Task Performance
Winzenz, David; Bower, Gordon H. – J Exp Psychol, 1970
Descriptors: Cluster Grouping, Codification, Hypothesis Testing, Learning Processes
Peer reviewed Peer reviewed
Sinks, Thomas A. – Clearing House, 1970
Teaching today should be more student oriented if students are to learn to inquire, think, and learn autonomously. (CK)
Descriptors: Academic Achievement, Grade 7, Hypothesis Testing, Individual Development
Peer reviewed Peer reviewed
Cross, Edward M.; Chaffin, Wilkie W. – Educational and Psychological Measurement, 1982
It is suggested that the binomial theorem be used to compute the probability that a given number of Type I errors would occur when a group of null hypotheses are true and that this result be used as the level of significance for the test of an overall hypothesis. (Author/BW)
Descriptors: Hypothesis Testing, Research Problems, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
John, David W. – History and Social Science Teacher, 1980
Presents an activity which encourages hypothesis testing and introduces the study of prehistorical and historical societies. Students formulate a hypothesis about an artifact; then the teacher gradually introduces more information. Students refine their hypotheses and test them against what the artifact was used for. (KC)
Descriptors: History Instruction, Hypothesis Testing, Learning Activities, Secondary Education
Peer reviewed Peer reviewed
Barcikowski, Robert S. – Journal of Educational Statistics, 1981
Reluctance to use group mean as the unit of analysis is partly due to the belief that fewer observations per treatment greatly reduces the probability of detecting a treatment effect. This is discussed; equations are presented to facilitate power estimates when the group mean is the unit of analysis. (Author/BW)
Descriptors: Hypothesis Testing, Power (Statistics), Research Methodology, Research Problems
Peer reviewed Peer reviewed
Jackson, David J. – Psychometrika, 1980
The squared multiple correlation of a variable with the remaining variables in a variable set is shown to be a function of the communalities and the squared canonical correlations between the observed variables and common factors. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Hypothesis Testing, Multiple Regression Analysis
Peer reviewed Peer reviewed
Hsu, Louis M. – Educational and Psychological Measurement, 1980
The problem addressed is of assessing the loss of power which results from keeping the probability that at least one Type I error will occur in a family of N statistical tests at a tolerably low level. (Author/BW)
Descriptors: Hypothesis Testing, Orthogonal Rotation, Power (Statistics), Research Problems
Peer reviewed Peer reviewed
Overall, John E. – Journal of Educational Statistics, 1980
Fisher's exact probability test is severely conservative when interpreted with reference to conventional alpha levels due to the discontinuity of the sampling distribution for 2 x 2 tables. An adjustment of the cell frequencies is proposed that results in a correction for continuity with appropriate alpha protection and increased power. (Author)
Descriptors: Data Analysis, Hypothesis Testing, Nonparametric Statistics, Statistical Bias
Peer reviewed Peer reviewed
Steiger, James H. – Multivariate Behavioral Research, 1980
The goodness-of-fit of correlational pattern hypotheses has traditionally been assessed either with a likelihood ratio statistic or with a quadratic form statistic. Several alternative statistics, based on the use of the Fisher r-to-z transform, are proposed and assessed in a Monte Carlo experiment. (Author/JKS)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Longitudinal Studies
Morrow, James R., Jr.; Frankiewicz, Ronald G. – Research Quarterly, 1979
A review of recent volumes of the "Research Quarterly" reveals that few of the studies employing multiple dependent measures have attended to the appropriate analysis. (JD)
Descriptors: Hypothesis Testing, Measurement Techniques, Research Methodology, Statistical Analysis
Peer reviewed Peer reviewed
Katz, Barry M. – Journal of Educational Statistics, 1978
This paper surveys available techniques and introduces an explicit statement of a new statistic to test for equality of correlated proportions in a polychotomous response design. A set of guidelines for the potential user of the techniques is provided. (Author/CTM)
Descriptors: Classification, Hypothesis Testing, Research Design, Sampling
Bole, Ronald – Research Quarterly, 1976
The present study suggests that post-KR delay interval time or activity in the interval has little to do with learning on a self-paced positioning task, not ruling out that on ballistic tasks or more complex nonballistic tasks that a learner could make use of additional time or strategy. (MB)
Descriptors: Data Analysis, Hypothesis Testing, Motor Development, Research Projects
Peer reviewed Peer reviewed
Levine, Richard A.; Ohman, Pamela A. – Psychometrika, 1997
Challenge studies can be used to see whether there is a causal relationship between an agent of interest and a response. An approach based on union-intersection testing is presented that allows researchers to examine observations on a single subject and test the hypothesis of interest. An application using psychological data is presented. (SLD)
Descriptors: Comparative Analysis, Hypothesis Testing, Mathematical Models, Psychological Studies
Peer reviewed Peer reviewed
McDonald, John; And Others – Cognition, 1996
Introduced the hypothesis-assessment model, claiming that the strength of inductive argument is determined by the same factors that affect hypothesis plausibility in the everyday social milieu. Describes experiments conducted to assess argument strength. Discusses strengths and limitations of the proposed hypothesis-assessment model. (MOK)
Descriptors: Comparative Analysis, Evaluative Thinking, Hypothesis Testing, Induction
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