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Hogge, James H.; Picklesimer, Judith H. – Educ Psychol Meas, 1970
Descriptors: Computer Programs, Hypothesis Testing, Statistical Analysis
Marso, Ronald N. – J Exp Educ, 1970
Descriptors: Academic Achievement, Anxiety, Classroom Techniques, Testing
Caplow, Harriet M.; McDougal, Russell – Audiovisual Instr, 1969
Descriptors: Art Appreciation, Testing, Transparencies, Visual Measures
Lester, Gene – Percept Mot Skills, 1969
Tests the hypothesis that the Mueller-Lyer illusion will be less strong when an observer is distant from figures than when he is close, and presents results that do not confirm the hypothesis. (RW)
Descriptors: Hypothesis Testing, Predictive Validity, Visual Perception
Peer reviewedLibby, David L.; Novick, Melvin R. – Journal of Educational Statistics, 1982
Two multivariate probability distributions, a generalized beta distribution and a generalized F distribution, are derived. Formulas for the moments of these distributions are given and an example of the bivariate generalized beta is presented. (Author/JKS)
Descriptors: Hypothesis Testing, Multivariate Analysis, Statistical Distributions
Peer reviewedHawkins, Vincent J. – Education, 1982
Research on Piaget's four stages of cognitive development has shown that although nearly everyone passes through sensorimotor, preoperational, and concrete operational stages, most do not reach the stage of formal operations. Those people who do attain formal operations seem to have a curiosity factor not operative in those who don't. (Author/BRR)
Descriptors: Cognitive Development, Curiosity, Definitions, Hypothesis Testing
Peer reviewedBudescu, David V. – Educational and Psychological Measurement, 1982
An empirical study of the power of the F test in normal populations with variances proportional to the cell means is reported. The results indicate that the power of the test can be approximated by the noncentral F distribution with a modified parameter of noncentrality. (Author/CM)
Descriptors: Hypothesis Testing, Research Problems, Statistical Analysis
Peer reviewedModu, Christopher C.; Weeks, C. Andrew – Unterrichtspraxis, 1982
Presents study designed to determine whether AP German Language Examination requires the same level of skill as third-year college German courses. Compares performances of AP German Language Examination candidates with college students completing second- or third-year German language courses. Results indicate AP exam is valid measure of competency…
Descriptors: German, Language Tests, Test Validity, Testing
Greene, Edith; And Others – Journal of Verbal Learning and Verbal Behavior, 1982
Presents study designed to explore whether warning people about the possibility of future misinformation would increase their resistance to that misinformation. Results show exposure to a warning just prior to presentation of misinformation resulted in slightly greater resistance to its suggestive effects, but warnings after misinformation had…
Descriptors: College Students, Memory, Persuasive Discourse, Testing
Peer reviewedSattler, Jerome M.; Squire, Lisa S. – School Psychology Review, 1982
Considerable judgment is required in scoring some McCarthy subtests, as this research showed the results of the Draw-A-Design test to be disagreeably scored. Oral Vocabulary and Draw-A-Child tests offered few scoring discrepancies between examiners. Two different studies and protocols are discussed. (CE)
Descriptors: Early Childhood Education, Scoring, Testing Problems
Peer reviewedMcKee, Barbara G.; Lang, Harry G. – American Annals of the Deaf, 1982
Results of this investigation indicate that item format alone may be a factor affecting the performance of deaf students and that different conclusions may be possible concerning specific course objectives mastered. (Author)
Descriptors: Deafness, Performance Factors, Test Construction, Testing
Peer reviewedMartin, Charles G.; Games, Paul A. – Journal of Experimental Education, 1981
Power and stability of Type I error rates are investigated for the Box-Scheffe test of homogeneity of variance with varying subsample sizes under conditions of normality and nonnormality. The test is shown to be robust to violation of the normality assumption when sampling is from a leptokurtic population. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Statistical Analysis
Peer reviewedWillson, Victor L. – Educational and Psychological Measurement, 1980
Guilford's average interrater correlation coefficient is shown to be related to the Friedman Rank Sum statistic. Under the null hypothesis of zero correlation, the resultant distribution is known and the hypothesis can be tested. Large sample and tied score cases are also considered. An example from Guilford (1954) is presented. (Author)
Descriptors: Correlation, Hypothesis Testing, Mathematical Formulas, Reliability
Peer reviewedMorrow, James R.; Hopkins, Kenneth D. – Journal of Experimental Education, 1979
The F-distribution approximation suggested by Dixon was investigated at various combinations of alpha and degrees of freedom. Tabled values were compared with values computed utilizing the suggested formula. (Author/GSK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Statistical Analysis
Peer reviewedKraemer, Helena Chmura – Journal of Educational Statistics, 1980
The robustness of hypothesis tests for the correlation coefficient under varying conditions is discussed. The effects of violations of the assumptions of linearity, homoscedasticity, and kurtosis are examined. (JKS)
Descriptors: Correlation, Hypothesis Testing, Reliability, Statistical Analysis


