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Friedman, Herbert – Educational and Psychological Measurement, 1982
A concise table is presented based on a general measure of magnitude of effect which allows direct determinations of statistical power over a practical range of values and alpha levels. The table also facilitates the setting of the research sample size needed to provide a given degree of power. (Author/CM)
Descriptors: Hypothesis Testing, Power (Statistics), Research Design, Sampling
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Hollingsworth, Holly – Journal of Experimental Education, 1980
A solution to some problems of maximized contrasts for analysis of variance situations when the cell sizes are unequal is offered. It is demonstrated that a contrast is maximized relative to the analysis used to compute the sum of squares between groups. Interpreting a maximum contrast is discussed. (Author/GK)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Research Problems
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Lindvall, C. Mauritz; Nitko, Anthony J. – Educational Evaluation and Policy Analysis, 1981
A design for evaluation studies of educational programs should provide valid and defensible inferences. Goals of evaluation are the identity of major components of inferences and specific validity concerns. Design problems may be resolved by creatively utilizing features of specific evaluations in designing unique conditions that permit valid…
Descriptors: Educational Assessment, Program Evaluation, Research Design, Research Methodology
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Sawyer, Darwin O.; Maney, Ann – Evaluation Review, 1981
The impact of a legal reform on child abuse reporting in the District of Columbia is evaluated. Results suggest that reporting legislation may be useful in reform efforts by extending the requirements to new groups and precipitating efforts to implement legal requirements of those already required to report. (Author/GK)
Descriptors: Child Abuse, Evaluation Methods, Legal Responsibility, Legislation
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Luftig, Jeffrey T.; Norton, Willis P. – Journal of Studies in Technical Careers, 1982
This article builds on an earlier discussion of the importance of the Type II error (beta) and power to the hypothesis testing process (CE 511 484), and illustrates the methods by which sample size calculations should be employed so as to improve the research process. (Author/CT)
Descriptors: Hypothesis Testing, Research Design, Research Methodology, Research Problems
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Schautz, Donna; Lindeman, Carol, A. – Journal of Nursing Administration, 1982
The authors use examples to illustrate how the design of a study conveys the overall strategy and soundness of the investigation. Elements of research design that are discussed include setting, subjects, sample, treatment, measurement, and communication of results. (CT)
Descriptors: Data Analysis, Measurement Techniques, Research Design, Research Methodology
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Carter, Jane Robbins – Top of the News, 1981
Discusses the purpose of research on library issues and problems and the use of the scientific method in a library context. Four research methodologies are described as well as measurement scales and research techniques. (BK)
Descriptors: Librarians, Library Research, Research Design, Research Tools
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Rayward, W. Boyd – Top of the News, 1981
Describes the design, execution, and reporting of a fictitious library research project conducted by a children's librarian in the future. Problems in gaining support, in designing the study, and in presenting the results effectively are highlighted, and possible solutions are presented. (BK)
Descriptors: Librarians, Library Research, Research Design, Research Projects
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Baker, Frank B. – Journal of Educational Statistics, 1981
The recently developed log-linear model technique for the analysis of contingency tables has many potential applications within educational research. This paper describes the two major models, log-linear and logit-linear, that are employed under this approach. (Author/JKS)
Descriptors: Data Analysis, Goodness of Fit, Nonparametric Statistics, Research Design
Goodman, R. Irwin; And Others – Educational Technology, 1980
Describes an index for the evaluation of a media product. A pretest measure of an aspect of the product is taken, the audience is exposed to the product, a posttest measure is taken, and the index is computed as a ratio of the difference scores to the total change possible. (MER)
Descriptors: Films, Formative Evaluation, Media Research, Research Design
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Williams, John D. – Multiple Linear Regression Viewpoints, 1980
Multiple comparisons involve the examination of which group or groups are actually different from other group(s) in analysis of variance results. Such comparisons usually involve one-way analysis of variance. This monograph discusses designs more complex than one-way designs. (JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
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Edgington, Eugene S. – Journal of Educational Statistics, 1980
Valid statistical tests for one-subject experiments are necessary to justify statistical inferences and to ensure the acceptability of research reports to a wide range of journals and readers. The validity of randomization tests for one-subject experiments is examined. (See TM 505 800-801).(Author/JKS)
Descriptors: Experimental Groups, Hypothesis Testing, Research Design, Statistical Data
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Edgington, Eugene S. – Journal of Educational Statistics, 1980
Two types of problems supposedly associated with the use of randomization tests for single-subject experiments have been discussed: the random introduction of treatments and the repeated alternation of treatments. Ways to reduce the adverse effects associated with these problems are presented. (See TM 505 799-800). (Author/JKS) (Author/JKS)
Descriptors: Experimental Groups, Hypothesis Testing, Research Design, Statistical Data
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Rush, Jean C.; Kratochwill, Thomas R. – Studies in Art Education, 1981
The authors describe some of the applications of time-series, its advantages in applied work, and methodological issues of concern to researchers. (Author/SJL)
Descriptors: Art Education, Behavior Change, Research Design, Trend Analysis
Fuqua, Dale R. – Improving Human Performance Quarterly, 1979
Provides a condensed description of the criteria and choices for selecting a particular assessment, evaluation, or research design. Strengths and weaknesses of each design are presented. (Author/JEG)
Descriptors: Consultants, Evaluation Methods, Organizational Development, Pretests Posttests
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