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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
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Shine, Lester C., II – Educational and Psychological Measurement, 1982
The interpretation of significant left-tailed analysis of variance (ANOVA) F-ratios is supported by considering the case of a fixed effects ANOVA model. The conclusions of this case are generalizable to other standard ANOVA models. (Author/PN)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
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Shine, Lester C., II – Educational and Psychological Measurement, 1983
For the case of one independent group of subjects, illustrative analyses are presented for each of Shine's group actualized, group pure, and generalized pure multi-subject behavior functions. Each of the three analyses is done on the same set of data concerning eight subjects. (Author/PN)
Descriptors: Analysis of Variance, Behavioral Science Research, Long Term Memory, Recall (Psychology)
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Shine, Lester C., II – Educational and Psychological Measurement, 1973
The basic ideas underlying the Shine-Bower ANOVA for single-subject designs are combined with those of certain repeated measures designs to produce a highly flexible design possessing the advantages of the single-subject and multi- subject approaches to research. Schematic calculation procedures are presented for the two-way case. (Author)
Descriptors: Analysis of Variance, Research Design, Research Methodology
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Shine, Lester C., II – Educational and Psychological Measurement, 1980
Two fundamental behavior functions are associated with single-subject experimental research: the subject's orderly behavior actually occurring in the experiment of interest and the subject's average orderly behavior across all possible theoretical replications of the experiment of interest. General approaches in investigating both behavior…
Descriptors: Behavior Patterns, Behavior Theories, Psychological Studies, Research Problems
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Shine, Lester C., II – Educational and Psychological Measurement, 1981
An integrated study of Shine's actualized and pure single-subject behavior functions can produce more information than studying only one function. After summarizing the mathematics behind Shine's viewpoint, an ordinary regression analysis approach to the actualized behavior function is integrated with a time-series analysis approach to the pure…
Descriptors: Behavior Theories, Least Squares Statistics, Mathematical Models, Operant Conditioning
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Shine, Lester C., II – Educational and Psychological Measurement, 1979
The Shine-Bower error term is used to form approximate F ratios for testing various effects in the Shine-Bower single-subject ANOVA and the Shine Combined ANOVA. Results demonstrate the utility of these F ratios with respect to the probability of a type I error. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Nonparametric Statistics
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Shine, Lester C., II – Educational and Psychological Measurement, 1982
For multi-subject experiments with all factors repeated (a single independent group of subjects), three multi-subject behavior functions are identified and analyzed. They are based on Shine's actualized and pure single-subject behavior functions extended to multi-subject experiments with some factors nonrepeated (several independent groups of…
Descriptors: Analysis of Variance, Behavior Patterns, Behavioral Science Research, Experimental Groups
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Shine, Lester C., II – Educational and Psychological Measurement, 1978
Procedures for carrying out a Shine Combined (repeated measures) Analysis of Variance (ANOVA) when there are unequal group sizes are described. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Research Design
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Shine, Lester C., II – Educational and Psychological Measurement, 1977
A series of independent, normally distributed events may be broken into intervals on an a priori basis. Then, within interval variance may be compared to among interval variance. These might be considered short-term and long-term variances. This concept and a test for comparing variances are presented. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Intervals
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Shine, Lester C., II – Educational and Psychological Measurement, 1977
The Shine-Bower single subject analysis of variance is extended from being applicable to only an even number of trials to being applicable to any number of trials. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1978
Some recent developments for the Shine-Bower single-subject analysis of variance (ANOVA) and the Shine Combined ANOVA are integrated in order to remove the restriction of an even number of trials for the Shine Combined ANOVA. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1976
Two statistics for use in the Shine-Bower single-subject analysis of variance designs are compared. Advantages and precautions concerning an alternate statistic to the mean square successive difference test for testing the slow change assumptions of the Shine-Bower error term are presented. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology