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Yu, Chong Ho – 1994
The philosophical notions introduced by Charles Sanders Peirce (1839-1914) are helpful for researchers in understanding the nature of knowledge and reality. In the Peircean logical system, the logic of abduction and deduction contribute to our conceptual understanding of a phenomenon, while the logic of induction adds quantitative details to the…
Descriptors: Comprehension, Deduction, Hypothesis Testing, Induction
Peer reviewedKristof, Walter – Psychometrika, 1974
Descriptors: Hypothesis Testing, Statistical Bias, Test Reliability
Peer reviewedMeyer, Donald L. – American Educational Research Journal, 1974
See TM 501 201-2 for related articles. (MLP)
Descriptors: Hypothesis Testing, Power (Statistics), Statistical Significance
Koffler, Stephen L.; Penfield, Douglas A. – 1980
Two nonparametric statistical methods, the inverse normal scores method and the rank order transformation, are compared for use in discriminant function analysis. The methods are compared for both normal and non-normal distributions. When the distributions are normal, the rank and inverse normal scores methods are effective substitutes for the…
Descriptors: Discriminant Analysis, Hypothesis Testing, Nonparametric Statistics
MACCIA, ELIZABETH STEINER – 1965
IN A PRESENTATION TO THE AMERICAN EDUCATIONAL RESEARCH ASSOCIATION, IT WAS STATED THAT THEORY CONSTRUCTION IS ESSENTIAL TO ALL INQUIRY. THEORY IS CHARACTERIZED AS BEING PRACTICAL AND CONSISTS OF EITHER RELATED GENERALIZATIONS OR RELATED HYPOTHESES WHICH ARE TESTABLE. 4 TYPES OF THEORY ARE CLASSIFIED AS--(1) FORMAL THEORY, (2) EVENT THEORY, (3)…
Descriptors: Curriculum, Hypothesis Testing, Inquiry, Theories
Gantt, Vernon Wilson – 1970
Five hypotheses are tested concerning the attitude changes occurring in subjects informed of research findings that conflict with their pre-experimental attitudes. Results are discussed. (CK)
Descriptors: Attitude Change, Hypothesis Testing, Verbal Communication
Peer reviewedLevy, Kenneth J. – Educational and Psychological Measurement, 1977
The importance of the assumption of normality for testing that a bivariate normal correlation equals zero is examined. Both empirical and theoretical evidence suggest that such tests are robust with respect to violation of the normality assumption. (Author/JKS)
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing
Peer reviewedRomaniuk, Jean G.; And Others – Child Development, 1977
Caution is advised in utilizing the univariate F test as the initial screening device for hypothesis testing in the analysis of repeated measures data. (JMB)
Descriptors: Hypothesis Testing, Research Methodology, Statistical Analysis
Peer reviewedStephens, Larry J.; And Others – Journal of Educational Statistics, 1977
Problems associated with ranking a large number of objects are discussed. It is recommended that only a subset of the most preferred objects be ranked by each judge. A test statistic for testing the hypothesis of no difference in preference among the objects is developed for the recommended procedure. (Author/JKS)
Descriptors: Hypothesis Testing, Measurement Techniques, Nonparametric Statistics
Peer reviewedFligner, Michael A. – Journal of Educational Statistics, 1988
An approach for modifying the results of asymptotic theory to improve the performance of statistical procedures in small to moderate sample sizes is described in the context of hypothesis testing. The method is illustrated by a series of examples. (Author)
Descriptors: Hypothesis Testing, Sample Size, Statistical Analysis
Peer reviewedSerlin, Ronald C. – Educational and Psychological Measurement, 1976
A computer program is described which performs the Bowker test of symmetry in a square contingency table, the Light-Margolin and Pearson tests for homogeneity in nonorder contingency tables, the Kruskal-Wallis test for ordered dependent variables, and the Kandall and Maxwell tests for monotonic trends in ranks. (Author)
Descriptors: Computer Programs, Hypothesis Testing, Nonparametric Statistics
Fraas, John W.; Newman, Isadore – 2001
J. Frass and I. Newman (2000) proposed a hypothesis testing procedure that incorporated the following three key elements: (1) the establishment of a practical significance value; (2) the construction of a non-nil null hypothesis that incorporated the practical significance value; and (3) statistical testing of the non-nil null hypothesis with a…
Descriptors: Computer Software, Hypothesis Testing, Statistical Significance
Tanguma, Jesus; Speed, F. M. – 2000
This paper analyzes three possible research designs using each of the four types of sums of squares in the Statistical Package for the Social Sciences (SPSS). When the design is balanced (i.e., each cell has the same number of observations), all of the SPSS types of sums of squares yield equivalent results (testable hypotheses and sums of squares)…
Descriptors: Hypothesis Testing, Research Design, Statistical Analysis
Peer reviewedWarner, Lyle G.; Louis N. – Educational and Psychological Measurement, 1973
The tests discussed provide a relatively wide variety of inference techniques which may be applied to "koppa". Each of the techniques may be used to construct confidence intervals, and one specific equation provides a simultaneous test of zero values for two koppas when applied properly. (NE)
Descriptors: Hypothesis Testing, Statistical Analysis, Statistical Significance
Peer reviewedDayton, C. Mitchell; And Others – American Educational Research Journal, 1973
Comment on EJ 060 883, and J. Cohen, Statistical power analysis for the behavioral sciences,'' New York: Academic Press, 1969. (CB)
Descriptors: Hypothesis Testing, Power (Statistics), Research Methodology


