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Van Fleet, David D.; Chamberlain, Howard – Educational and Psychological Measurement, 1979
This paper presents an empirical analysis of similarities and differences between two statistics, G and Phi, which treat genuinely dichotomous data. These results can aid researchers in selecting between these two statistics and in evaluating results from the use of one v the other. (Author)
Descriptors: Correlation, Data Analysis, Goodness of Fit, Nonparametric Statistics
Peer reviewed Peer reviewed
Wainer, Howard; Thissen, David – Applied Psychological Measurement, 1979
A class of naive estimators of correlation was tested for robustness, accuracy, and efficiency against Pearson's r, Tukey's r, and Spearman's r. It was found that this class of estimators seems to be superior, being less affected by outliers, reasonably efficient, and frequently more easily calculated. (Author/CTM)
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Nonparametric Statistics
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Rosmann, Michael R. – 1973
When repeated measures are obtained on the same subjects, interobservation dependencies frequently are generated. The major ways in which these dependencies can arise are illustrated and it is shown how these dependencies may invalidate the use of analysis of variance (ANOVA) and its extension, trend analysis, as methods of evaluating the data of…
Descriptors: Analysis of Variance, Correlation, Goodness of Fit, Hypothesis Testing
Mandeville, Garrett K.; And Others – 1975
A strategy for comparing two sets of results (one based upon early childhood recollections (ECR) and another upon video taped (VT) group behavior) from the Perceptual Characteristics Rating Scale was developed. The null distribution of the mean deviation was estimated by randomly matching an ECR response vector with a VT response vector. To…
Descriptors: Comparative Analysis, Correlation, Data Analysis, Goodness of Fit
Magidson, Jay; Sorbom, Dag – 1980
Evaluations of social programs based upon quasi-experimental designs are typically plagued by problems of nonequivalence between the experimental and comparison group prior to the experiment. In such settings it is extremely difficult, if not impossible, to isolate the effects of the program from the confounding effects associated with the…
Descriptors: Control Groups, Correlation, Evaluation Methods, Experimental Groups