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Heausler, Nancy L. – 1987
Each of the four classic multivariate analysis of variance (MANOVA) tests of statistical significance may lead a researcher to different decisions as to whether a null hypothesis should be rejected: (1) Wilks' lambda; (2) Lawley-Hotelling trace criterion; (3) Roy's greatest characteristic root criterion; and (4) Pillai's trace criterion. These…
Descriptors: Analysis of Variance, Discriminant Analysis, Factor Analysis, Hypothesis Testing
Long, Sarah P. – 1986
This study considers the theories of impulse buying in an examination of the effects on circulation of library books when books are displayed face front (with all or most of the book jacket showing) as opposed to spine front. Reviews of the literature on consumer behavior and on library displays support the hypothesis of this study, i.e., that…
Descriptors: Analysis of Variance, Hypothesis Testing, Improvement, Library Circulation
Weiss, Martin B. H.; Sirbu, Marvin – 1988
Vendors frequently compete to have their technology adopted as part of a voluntary consensus standard, and this paper reports the results of an empirical study of the factors that influence the choice of technologies by voluntary technical standards committees. Participation in standards committees is viewed as an aspect of the product development…
Descriptors: Advisory Committees, Computer Networks, Decision Making, Hypothesis Testing
Hayden, Davis C. – 1986
Recent research on hypothesis testing strategies (the strategy a person uses to determine the correctness of a specific hypothesis) has produced contradictory results. The three strategies available have been labeled confirmatory, neutral, and disconfirmatory. Some research has found that a confirmatory testing style predominates, while other…
Descriptors: College Students, Computer Simulation, Counseling Techniques, Counselor Training
Dillon, J. T. – 1982
Some 1000 questions in education journals were analyzed for aspects of usage and content, linguistic structure, cognitive process, and logical operation. Only half of the studies examined were found to use questions, and only a third of the questions addressed teaching and learning, curriculum and milieu. The great majority of questions entailed a…
Descriptors: Educational Research, Elementary Secondary Education, Higher Education, Hypothesis Testing
Lohnes, Paul R.; Pai, Lu – 1982
As useful as LISREL may be in model estimation and testing, its most significant contribution to date is the encouragement and example it gives for right thinking about research and right planning of research. The encouragement to hypothesize the best possible model for the process that is the object of study, and to plan measurements that…
Descriptors: Computer Programs, Educational Research, Factor Analysis, Hypothesis Testing
Stallings, William M. – 1985
In the educational research literature alpha, the a priori level of significance, and p, the a posteriori probability of obtaining a test statistic of at least a certain value when the null hypothesis is true, are often confused. Explanations for this confusion are offered. Paradoxically, alpha retains a prominent place in textbook discussions of…
Descriptors: Educational Research, Hypothesis Testing, Multivariate Analysis, Probability
Barcikowski, Robert S.; Robey, Randall R. – 1985
This paper provides researchers with a method of determining sample size for a given power level in the preparation of a single group exploratory repeated measure analysis. The rationale for determining sample size which takes into consideration the powers and assumptions of both the adjusted univariate and multivariate repeated measures tests is…
Descriptors: Analysis of Variance, Effect Size, Hypothesis Testing, Multivariate Analysis
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Riggs, Julia – American Biology Teacher, 1974
Describes a science activity, using safety pins, illustrating steps in problem solving. (PEB)
Descriptors: College Students, Hypothesis Testing, Problem Solving, Science Activities
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Meek, Gary E.; Ozgur, Ceyhun O. – Decision Sciences Journal of Innovative Education, 2004
Introductory statistics texts give extensive coverage to two-sided inferences in hypothesis testing, interval estimation, and one-sided hypothesis tests. Very few discuss the possibility of one-sided interval estimation at all. Even fewer do so in any detail. Two of the business statistics texts we reviewed mentioned the possibility of dividing…
Descriptors: Introductory Courses, Statistics, Inferences, Hypothesis Testing
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Simkin, Mark G.; Kuechler, William L. – Decision Sciences Journal of Innovative Education, 2005
Instructors can use both "multiple-choice" (MC) and "constructed response" (CR) questions (such as short answer, essay, or problem-solving questions) to evaluate student understanding of course materials and principles. This article begins by discussing the advantages and concerns of using these alternate test formats and…
Descriptors: Student Evaluation, Multiple Choice Tests, Responses, Test Items
Carroll, C. Dennis; McKeown, Robin J. – 1977
The application of a multivariate analytic technique for the analysis of data from longitudinal designs with multiple dependent variables is presented. The technigue is the multivariate generalization of univariate repeated measures ANOVA. An application of the technique to data collected using materials from the Asian Studies Curriculum Project…
Descriptors: Analysis of Variance, Hypothesis Testing, Longitudinal Studies, Multivariate Analysis
Chechile, Richard; Butler, Keith – Journal of Verbal Learning and Verbal Behavior, 1975
A Bayesian statistical procedure separating storage from retrieval was used to study development and release of proactive interference in the Brown-Peterson paradigm. A theory of PI is developed stressing response competition at test time and interference in transfer between short- and long-term memory. (CHK)
Descriptors: Bayesian Statistics, Cognitive Processes, Hypothesis Testing, Inhibition
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Miller, John K. – Multivariate Behavioral Research, 1975
Descriptors: Correlation, Goodness of Fit, Hypothesis Testing, Matrices
Levy, Leon H. – J Consult Clin Psychol, 1969
Descriptors: Classification, Data Analysis, Demonstration Programs, Experimenter Characteristics
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