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Kohr, Richard L.; Games, Paul A. – 1974
An empirical sampling study investigated six procedures for testing differences between means in the presence of unequal n's and variances. Support was obtained for previous research which found t robust to heterogeneous variances only when n's are equal and of moderate size. The procedure which emerged as providing the best control over Type I…
Descriptors: Hypothesis Testing, Probability, Sampling, Statistical Analysis
Peer reviewed Peer reviewed
Marcus, Ruth – Psychometrika, 1978
A general method of devising stepwise multiple testing procedures with fixed experimentwise error is applied to the problem of non-parametric randomized block design with ordered alternatives. In addition, the method is applied to other models with ordered alternatives. (Author)
Descriptors: Hypothesis Testing, Nonparametric Statistics, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1977
An alternate procedure is presented for testing the trial-by-subject interaction in the Shine Combined analysis of variance test. This new procedure is designed to get around the independence and distributional problems of the orginal F test. (Author)
Descriptors: Analysis of Variance, Hypothesis Testing, Interaction, Statistical Analysis
Peer reviewed Peer reviewed
Paulhus, Delroy L. – Educational and Psychological Measurement, 1977
DSYSTM is an interactive computer program designed to perform a linear-graph analysis of contingency table data. The program is especially suitable for the analysis of change models. (Author/JKS)
Descriptors: Computer Programs, Hypothesis Testing, Statistical Analysis, Tables (Data)
Peer reviewed Peer reviewed
Krishnaiah, P. R. – Journal of Multivariate Analysis, 1976
In this paper, the author gives a review of the literature on complex multivariate distributions. Some new results on these distributions are also given. Finally, the author discusses the applications of the complex multivariate distributions in the area of the inference on multiple time series. (Author)
Descriptors: Difficulty Level, Hypothesis Testing, Matrices, Probability
Peer reviewed Peer reviewed
Venables, 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 reviewed Peer reviewed
Camilli, Gregory; Shephard, Lorrie A. – Journal of Educational Statistics, 1987
Previous arguments against the use of Analysis of Variance (ANOVA) to determine test bias are extended. Explains why ANOVA may obscure test bias when it exists and also create a false impression of bias when it does not exist. (RB)
Descriptors: Analysis of Variance, Statistical Analysis, Test Bias, Testing
Peer reviewed Peer reviewed
Smith, Robert A.; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Hypothesis Testing, Statistical Analysis, Statistical Significance
Harrington, Charles J. – J Res Mus Educ, 1969
Descriptors: Aptitude Tests, Elementary School Students, Statistical Analysis, Testing
Peer reviewed Peer reviewed
Sachdeva, Darshan – Journal of Experimental Education, 1971
This paper provides the computational formulas necessary for testing the significance of the difference between mean values of two bivariate normal populations. (Author)
Descriptors: Hypothesis Testing, Measurement Techniques, Statistical Analysis, Statistical Significance
Non-Counseled David G.; Robb, George P. – J Clin Psychol, 1970
Descriptors: College Students, Counseling Services, Psychological Testing, Statistical Analysis
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
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
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Moss, Pamela A. – Educational Measurement: Issues and Practice, 1995
Highlights some of the major questions facing the measurement community in deciding how to conceptualize validity in the revised "Standards for Educational and Psychological Testing" of the American Association for Educational Research, the American Psychological Association, and the National Council on Measurement in Education. Focuses…
Descriptors: Educational Testing, Standardized Tests, Standards, Statistical Analysis
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Jabbarifar, Taghi; Elhambakhsh, ELham – Journal of International Education Research, 2012
An indispensable part of any curriculum design in an educational setting is the analysis of the needs of the learners involved in the context. The needs can be addressed from different perspectives. Among them, the learners' needs in terms of their perceptions toward what constitute learning/teaching and testing processes are of prominent values.…
Descriptors: Foreign Countries, Mixed Methods Research, Observation, Instructional Design
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