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Peer reviewedVenables, W. – Journal of Multivariate Analysis, 1976
Recent results of Bloomfield and Watson and Knott are used to derive a class of union-intersection tests for sphericity from likelihood ratio tests of independence of two sets of variates. It is shown that the ordinary likelihood ratio test for sphericity has a natural union-intersection interpretation. (Author/RC)
Descriptors: Correlation, Hypothesis Testing, Matrices, Orthogonal Rotation
Peer reviewedMiller, Mark J. – Journal of Counseling & Development, 1985
Reviews research relevant to the potential bias in the questioning strategies of counselors. Concludes that it is imperative that counselors think in scientific terms about human behavior and are critical of themselves as cognitive organisms. (LLL)
Descriptors: Bias, Counseling Techniques, Counselors, Higher Education
Peer reviewedMarascuilo, Leonard A.; Levin, Joel R. – American Educational Research Journal, 1976
An alternative is proposed to the usual Interaction and Nested Analysis of Variance (ANOVA) models by which a researcher will be able to investigate both interaction and nested questions in the same experiment without committing Type IV errors. (RC)
Descriptors: Analysis of Variance, Hypothesis Testing, Interaction, Mathematical Models
Peer reviewedWilson, Richard W. – Journal of Moral Education, 1976
Based on a study of variations in moral responses of Chinese and American children, an assessment is made of stage theories of moral development. (Editor)
Descriptors: Cognitive Processes, Hypothesis Testing, Moral Development, Socialization
McMillan, James H. – 2000
Implicit in the work of S. Huck and H. Sandler (1979) is the idea that the concept "rival hypotheses" refers to some kind of alternative explanation. Rather than being threats to internal validity, rival hypotheses, in their view, are interpretations that differ from those of the researcher. This paper broadens the idea to include any…
Descriptors: Classification, Educational Research, Hypothesis Testing, Test Interpretation
Newman, Isadore; Fraas, John W.; Herbert, Alan – 2001
Statistical significance and practical significance can be considered jointly through the use of non-nil null hypotheses that are based on values deemed to be practically significant. When examining differences between the means of two groups, researchers can use a randomization test or an independent t test. The issue addressed in this paper is…
Descriptors: Groups, Hypothesis Testing, Monte Carlo Methods, Statistical Significance
Lane, Ginny G. – 1999
For years, researchers have debated the misinterpretation of the null hypothesis significance test (NHST). Many researchers overemphasize the results of the NHST and underemphasize or even omit effect size measures. This paper addresses the common mistaken perceptions regarding the NHST. Several common effect size estimates are discussed. A small…
Descriptors: Effect Size, Hypothesis Testing, Research Methodology, Statistical Significance
Miranda, Janet – 2000
The assumption that is most important to the hypothesis testing procedure of multiple linear regression is the assumption that the residuals are normally distributed, but this assumption is not always tenable given the realities of some data sets. When normal distribution of the residuals is not met, an alternative method can be initiated. As an…
Descriptors: Hypothesis Testing, Regression (Statistics), Statistical Distributions, Transformations (Mathematics)
Peer reviewedGross, Alan L; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Hypothesis Testing, Multiple Regression Analysis, Programing
Peer reviewedSmith, Robert A.; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Hypothesis Testing, Statistical Analysis, Statistical Significance
Peer reviewedClopton, James R. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Computer Programs, Hypothesis Testing, Item Analysis
Peer reviewedCohen, Jacob – American Educational Research Journal, 1973
A critique of EJ 060 883. (CB)
Descriptors: Conceptual Schemes, Hypothesis Testing, Power (Statistics), Research Methodology
Peer reviewedUry, Hans K. – Psychometrika, 1972
Descriptors: Hypothesis Testing, Mathematical Applications, Nonparametric Statistics, Research Design
Helsel, A. Ray; and others – J Exp Educ, 1969
Schools require administrators capable of mediating among competing and often conflicting demands for change both from within and from external public and private interests. (CK)
Descriptors: Administrative Change, Educational Change, Hypothesis Testing, Organizational Climate
Peer reviewedRoberge, James J. – Educational and Psychological Measurement, 1972
Descriptors: Computer Programs, Data Processing, Hypothesis Testing, Nonparametric Statistics


