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Nathan, Peter E.; and others – J Clin Psychol, 1969
Descriptors: Clinical Diagnosis, Data Analysis, Models, Predictive Validity
Peer reviewedBetz, M. Austin; Levin, Joel R. – Journal of Educational Statistics, 1982
Logically consistent hypothesis-testing for factorial analysis of variance designs is proposed in the context of a hierarchical model. It is shown that all of the hypotheses associated with the traditional factorial model are conceptually independent and occupy the lowest levels of the hierarchy. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Models
Peer reviewedJuni, Samuel – Journal of Research in Personality, 1982
Reanalysis of previously published data suggests the Defense Mechanism Inventory can yield a composite measure of reaction to frustration by contrasting linearly the defenses Turning-against-object and Projection against those of Principalization and Reversal-of-affect. Factor-analytic and correlational data support the exclusion of…
Descriptors: Data Analysis, Measures (Individuals), Psychological Characteristics, Test Reliability
Peer reviewedZinkgrof, Stephen A. – Educational and Psychological Measurement, 1983
The equivalence of one-way multivariate analysis of variance and canonical correlation is well known. The usefulness of canonical correlation analysis is performing factorial multivariate analysis of variance is demonstrated. (Author)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Multivariate Analysis
Peer reviewedPruzansky, Sandra; And Others – Psychometrika, 1982
Two-dimensional euclidean planes and additive trees are two of the most common representations of proximity data for multidimensional scaling. Guidelines for comparing these representations and discovering properties that could help identify which representation is more appropriate for a given data set are presented. (Author/JKS)
Descriptors: Cluster Analysis, Data Analysis, Multidimensional Scaling, Statistical Data
Peer reviewedTerrell, Colin D. – Educational and Psychological Measurement, 1982
A table is presented that directly converts any known point biserial coefficient to the biserial coefficient, providing the largest proportion of the dichotomous variable is also known. (Author)
Descriptors: Computation, Correlation, Data Analysis, Mathematical Formulas
Phelps, John L.; Dennison, Darwin – Health Education (Washington D.C.), 1982
The many uses of microcomputers in health education and health education research are described. The flexibility, versatility, and easy use of microcomputers is discussed. (CJ)
Descriptors: Computer Assisted Instruction, Data Analysis, Educational Research, Health Education
Peer reviewedCohen, Jacob – Multivariate Behavioral Research, 1982
Set correlation is a multivariate generalization of multiple regression/correlation analysis that features the employment of overall measures of association interpretable as proportions of variance and the use of set-partialled sets of variables. The statistical development of the theory and several examples are presented. (Author/JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Multivariate Analysis
Peer reviewedChelte, Anthony F.; And Others – Monthly Labor Review, 1982
This article reviews data from the 1979 Staines-Quinn study of job satisfaction levels and contrasts them with data from similar surveys of the same era. The Staines-Quinn study's conclusions differ from conclusions of other studies and the authors examine the possible reasons for this. (CT)
Descriptors: Data Analysis, Data Collection, Job Satisfaction, Occupational Surveys
Peer reviewedSchantz, Donna; Lindeman, Carol A. – Journal of Nursing Administration, 1982
The authors present guidelines for reading a research report. They discuss the format for research reports and point out critical questions to keep in mind when critiquing a research study or reading published research reports. (Editor)
Descriptors: Critical Reading, Data Analysis, Literature Reviews, Research Methodology
Peer reviewedSmith, Gerald; And Others – Delta Pi Epsilon Journal, 1981
The Flesch formula was used to calculate the readability of 15 financial accounting textbooks. The 15 textbooks represented introductory, intermediate, and advanced levels and also were classified by five different publishers. Two-way analysis of variance and Tukey's post hoc analysis revealed some significant differences. (Author/CT)
Descriptors: Accounting, Data Analysis, Measurement Techniques, Readability
Peer reviewedMuller, Keith E. – Psychometrika, 1981
Redundancy analysis is an attempt to provide nonsymmetric measures of the dependence of one set of variables on another set. This paper attempts to clarify the nature of redundancy analysis and its relationships to canonical correlation and multivariate multiple linear regression. (Author/JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Multivariate Analysis
Peer reviewedWinsberg, Suzanne; Ramsay, James O. – Psychometrika, 1981
A general method of scaling pairwise preference data is presented that may be used without prior knowledge about the nature of the relationship between an observation and the process giving rise to it. The method involves a monotone transformation and is similar to the B-SPLINE approach. (Author/JKS)
Descriptors: Data Analysis, Latent Trait Theory, Measurement Techniques, Multidimensional Scaling
Peer reviewedBlair, R. Clifford; Higgins, James J. – Journal of Educational Statistics, 1980
Monte Carlo techniques were used to compare the power of Wilcoxon's rank-sum test to the power of the two independent means t test for situations in which samples were drawn from (1) uniform, (2) Laplace, (3) half-normal, (4) exponential, (5) mixed-normal, and (6) mixed-uniform distributions. (Author/JKS)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Formulas, Nonparametric Statistics
Peer reviewedBudescu, David V.; Appelbaum, Mark I. – Journal of Educational Statistics, 1981
The effect of the variance stabilizing transformations on the significance level and power of the F test, applied to Binomial and Poisson variables, was examined by a Monte Carlo study. The results indicate that the significance level is not affected by the transformations. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Evaluation, Hypothesis Testing


