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Owens, Thomas R.; Stufflebeam, Daniel L. – J Educ Meas, 1969
Descriptors: Academic Ability, Item Analysis, Sampling, Statistical Analysis
Rosecrans, C. J.; Schaffer, Harriet B. – J Clin Psychol, 1969
Descriptors: Institutionalized Persons, Neurological Impairments, Patients, Psychological Testing
Bettinghaus, Erwin P.; Baseheart, John R. – J Commun, 1969
Descriptors: Attitude Change, Communication (Thought Transfer), Hypothesis Testing, Information Theory
Yee, Albert H. – J Exp Educ, 1969
Descriptors: Achievement Gains, Generalization, Hypothesis Testing, Phonetics
Nitko, Anthony J.; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Difficulty Level, Factor Analysis, Hypothesis Testing, Item Analysis
Edwards, Allen L. – Educ Psychol Meas, 1969
Descriptors: Correlation, Item Analysis, Personality Assessment, Personality Measures
Peer reviewedBerenson, Mark L. – Psychometrika, 1982
The statistical power of nine k-sample tests against ordered location alternatives under completely randomized designs are investigated. The results are intended to aid researchers in selecting appropriate statistical procedures. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
Peer reviewedStrahan, Robert F. – Educational and Psychological Measurement, 1982
While Spearman's rho and Kendall's tau are equally powerful rank-order correlation coefficients under conditions of normality, they have different metrics. Applied to the same data, tau is smaller in absolute value, often no more than two-thirds of the size of rho. This difference in correlational metric appears to need emphasis. (Author/CM)
Descriptors: Correlation, Evaluation Methods, Experimental Psychology, Hypothesis Testing
Peer reviewedMishra, Shitala P. – Journal of Clinical Psychology, 1983
Compared scores of 40 children on the McCarthy Scales of Children's Abilities when administered by a trained examiner or mechanically administered. The two administrations did not produce significant differences in performance except for the Words and Sentences subtest, which scored significantly higher when administered by examiner. (JAC)
Descriptors: Elementary Education, Elementary School Students, Examiners, Intelligence Tests
Peer reviewedHollihan, Thomas A. – Journal of the American Forensic Association, 1983
Criticizes certain practices observed in academic debates which the author believes are produced by acceptance of the hypothesis-testing paradigm. (PD)
Descriptors: Debate, Evaluation Criteria, Higher Education, Hypothesis Testing
Peer reviewedOstring, Helena; Nieminen, Seija – International Journal of Rehabilitation Research, 1982
Comparative testing in Finland of 30 cerebral palsied (CP) children (aged nine to 13) and 34 normal controls (aged 10 to 12) yielded results such as that acceptance of the dependence resulting from the handicap is essential for CP children's positive self concept and school achievement. (Author/MC)
Descriptors: Academic Achievement, Attitudes, Cerebral Palsy, Comparative Testing
Peer reviewedBerndt, David J.; And Others – Journal of Consulting and Clinical Psychology, 1983
Obtained reading grade levels for depression scales by use of two empirically based readability formulae. Results showed Kovacs children's measure had the easiest reading level, the General Behavior Inventory was appropriate for college-level reading, and most other measures clustered at a fifth- to ninth-grade reading level. (WAS)
Descriptors: Affective Measures, Depression (Psychology), Readability, Readability Formulas
Peer reviewedHuberty, Carl J.; Holmes, Susan E. – Educational and Psychological Measurement, 1983
An alternative analysis of the two-group single response variable design is proposed. It involves the classification of experimental units to populations represented by the two groups. Three real data sets are provided to illustrate the utility of the classification analysis. A table of sample sizes required for the analysis is presented.…
Descriptors: Classification, Data Analysis, Hypothesis Testing, Research Design
Peer reviewedRenner, Barbara Rochen; Ball, Donald W. – Educational and Psychological Measurement, 1983
To determine the effect of violating the assumption of homogeneity of covariance for the Tukey Wholly Significant Difference (WSD) test, Monte Carlo simulations varied the number of treatment groups, sample size, and degree of covariance heterogeneity. As covariance heterogeneity was increased, the empirical significance levels increased beyond…
Descriptors: Data Analysis, Hypothesis Testing, Monte Carlo Methods, Research Methodology
Peer reviewedHaase, Richard F. – Educational and Psychological Measurement, 1983
This paper reviews the distinctions between classical and partial eta square and derives a formula for use in those complex analysis of variance designs in which the investigator desires a measure of classical eta square and has access only to the F-tests and relevant degrees of freedom. (Author/BW)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Research Design


