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Gross, Roger – 1977
If drama theorists are to improve the profession at large, they need to put their own house in order first. Too often drama theorists rely on intuition, tolerating the unexplained and the unsystematized. They could learn from theorists in other fields, such as physics and the "hard" sciences, by organizing the facts of their field of knowledge and…
Descriptors: Drama, Dramatics, Higher Education, Hypothesis Testing
Gross, Roger – 1977
Most theatre people (academic and professional) are disdainful of dramatic theory and related matters. Teachers of theory, criticism, and history assert the importance of their studies but do not demonstrate that importance. It is easier for teachers to expose students to explicit material on theory and test them to see if they remember it than to…
Descriptors: Drama, Dramatics, Higher Education, Hypothesis Testing
Nagel, Ernest; And Others – 1971
The three lectures, presented as the first series of the Alvin and Fanny Blaustein Thalheimer Lectures, concern the logical status of scientific theories in relation to observation. Nagel analyzes some of the attacks on the observational-theoretical distinction, and proposes that the proper way of construing the observational-theoretical contrast…
Descriptors: Hypothesis Testing, Logic, Philosophy, Research Methodology
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Gullickson, Arlen; Hopkins, Kenneth – 1971
Two objectives guided the present study: (1) to provide a suitable test for the hypothesis rho=0, and (2) to establish a means by which general users of R can set confidence intervals on rho. The first objective was approached by testing several possible solutions similar to the procedure followed by Forsyth. The second objective was pursued via a…
Descriptors: Correlation, Hypothesis Testing, Mathematical Applications, Research Reports
Peer reviewed Peer reviewed
Huck, Schuyler W.; Malgady, Robert G. – Educational and Psychological Measurement, 1978
The computation of F ratios from cell means and standard deviations is shown for a two-way analysis of variance. (JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Gaebelein, Jacquelyn W.; Soderquist, David R. – Educational and Psychological Measurement, 1978
Procedures to estimate the magnitude of a treatment effect are examined for analysis of variance (ANOVA) designs which have repeated-measures. In particular, it is argued that the estimate of utility (strength of effect) for a within-subjects variable should be adjusted to reflect the underlying ANOVA model. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Research Design
Peer reviewed Peer reviewed
Young, Forrest W.; Null, Cynthia H. – Psychometrika, 1978
Multidimensional scaling has recently been enhanced so that data defined at only the nominal level of measurement can be analyzed. The efficacy of ALSCAL, an individual differences multidimensional scaling program which can analyze nominal, ordinal, interval and ratio data is presented. (Author/JKS)
Descriptors: Computer Programs, Hypothesis Testing, Multidimensional Scaling, Psychometrics
Peer reviewed Peer reviewed
Parrill-Brunstein, Melinda – Child Development, 1978
Investigated the effectiveness of a training procedure corresponding to a component analysis of a hypothesis-testing task in improving kindergarten children's problem-solving abilities. (Author/JMB)
Descriptors: Feedback, Hypothesis Testing, Kindergarten Children, Problem Solving
Peer reviewed Peer reviewed
Duncan, George T. – Psychometrika, 1978
Statistical procedures based on Bayesian estimation for obtaining estimates of a propensity (which would include estimates of proportions or relative frequencies) are described for the special case where the observer can only note whether the propensity exceeds or does not exceed a constant between 0 and 1. (JKS)
Descriptors: Bayesian Statistics, Decision Making, Hypothesis Testing, Probability
Peer reviewed Peer reviewed
Kohr, Richard L.; Games, Paul A. – Journal of Educational Statistics, 1977
The robustness of the statistic for complex contrasts in analysis of variance is compared to the statistic developed by Welch. The Welch statistic is recommended as the benchmark test for complex contrasts. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Statistical Significance, Student Distribution
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1977
The Shine-Bower single subject analysis of variance is extended from being applicable to only an even number of trials to being applicable to any number of trials. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Carter, E. M.; And Others – Journal of Multivariate Analysis, 1976
The distribution of the likelihood ratio test for testing the reality of the covariance matrix of a complete multivariate normal distribution is investigated. (Author/RC)
Descriptors: Analysis of Covariance, Hypothesis Testing, Matrices, Probability
Peer reviewed Peer reviewed
Taylor, Marjorie; Flavel, John H. – Child Development, 1984
Two studies with three-year-old children tested the hypothesis that, whereas errors of phenomenism predominate when children are asked about objects' real and apparent properties, errors of intellectual realism predominate when children are asked about objects' real and apparent identities. Results provided some support for the property-identity…
Descriptors: Comprehension, Error Patterns, Hypothesis Testing, Preschool Children
Peer reviewed Peer reviewed
Miskel, Cecil. – Educational Administration Quarterly, 1984
Author responds to critique by Daniel Griffiths (Educational Administration Quarterly v. 19, p. 201-21) by defending his work in three areas: derivation of hypotheses, testing of hypotheses, and erroneous attribution of assumptions. (JW)
Descriptors: Hypothesis Testing, Observation, Research Design, Research Methodology
Peer reviewed Peer reviewed
Horenstein, David; Houston, B. Kent – Journal of Clinical Psychology, 1976
Tests the relationship between the success of psychotherapeutic efforts and the client's expectation-reality discrepancy, i.e., as the number of disconfirmed expectations increases the possibility for successful psychotherapy (positive therapy outcomes and low drop out rates) decreases. (Author/RK)
Descriptors: Expectation, Hypothesis Testing, Psychological Studies, Psychologists
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