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Roberts, J. Kyle – 2000
Analysis of variance (ANOVA) designs typically use what is referred to as crossed design to test for differences between means of groups. In a balanced, or crossed, one-way ANOVA, each student (unit of analysis) would have a score in each of the experimental conditions. In a two-way design, the analysis is considered crossed if each level from one…
Descriptors: Analysis of Variance, Research Design, Research Methodology

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
Scott, Thomas R.; Milligan, W. Lloyd – Percept Mot Skills, 1969
Descriptors: Analysis of Variance, Research Design, Research Methodology, Research Problems
Smawley, Robert R. – J Exp Educ, 1969
Descriptors: Analysis of Variance, Mathematical Models, Research Design, Research Methodology
Newman, Isadore; Oravecz, Michael T. – 1977
The major concern for any research model, whether disproportionate or not, is the research question and how well that question is reflected by the model. Three "exact solutions" for disproportional situations, the hierarchial, unadjusted main effects, and fitting constant methods, are discussed in terms of the research question that each…
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Research Design

Williams, John D.; Lindem, Alfred C. – Educational and Psychological Measurement, 1972
Descriptors: Analysis of Variance, Computer Programs, Data Processing, Research Design

Thomas, D. Roland – Psychometrika, 1983
Repeated measures designs have traditionally been analyzed by the univariate mixed model approach, in which the repeated measures effect is tested against an error term based on the subject by treatment interaction. This paper considers an extension of this analysis to designs in which the individual repeated measures are multivariate. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Multivariate Analysis

McCall, Robert B.; Applebaum, Mark I. – Child Development, 1973
The conventional analysis of variance applied to designs in which each subject is measured repeatedly requires stringent assumptions regarding the variance-covariance structure of the data. This paper considers alternatives when heterogeneity of covariance exists, including nonparametric tests, randomization and matching procedures, Box and…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Research Design
Wu, Yi-Cheng; McLean, James E. – 1994
By employing a concomitant variable, block designs and analysis of covariance (ANCOVA) can be used to improve the power of traditional analysis of variance (ANOVA) by reducing error. If subjects are randomly assigned to treatments without considering the concomitant variable, an experiment uses a post-hoc approach. Otherwise, an a priori approach…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Power (Statistics)
Berenson, Mark L.; Wolf, Edward H. – Research Quarterly, 1977
Two alternatives to the classical ANOVA procedure are presented to illustrate ways in which researchers may avoid the necessity of having to test the validity of assumptions and to perform data transformations. An illustrative application of these procedures is made to base running in baseball. (MJB)
Descriptors: Analysis of Variance, Methods Research, Research Design, Research Methodology
Tate, Richard L. – 1981
An approach to the analysis of an aptitude-treatment-interaction (ATI) design in which the treatment groups are based on an underlying factorial structure is described and illustrated. The approach emphasizes description with point and interval estimation. The example design considered consisted of two nominal treatment variables and one interval…
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Experimental Groups, Hypothesis Testing

Johnson, Craig W. – Educational and Psychological Measurement, 1986
A simple quasi-experimental design is described which may have utility in a variety of applied and laboratory research settings where ordinarily the one-group pretest-posttest pre-experimental design might otherwise be the procedure of choice. The design approaches the internal validity of true experimental designs while optimizing external…
Descriptors: Analysis of Variance, Pretests Posttests, Quasiexperimental Design, Research Design

Schuster, Christof; von Eye, Alexander – Journal of Adolescent Research, 2001
Demonstrates how different experimental designs arise from variation of three basic distinctions: block versus treatment factors, fixed versus random factors, and crossed versus nested factors. Argues that understanding how these distinctions influence statistical analysis can reduce amount of experimental design. Presents an example of this by…
Descriptors: Analysis of Variance, Measurement Techniques, Models, Research Design
Prosser, Barbara – 1990
The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…
Descriptors: Analysis of Variance, Data Analysis, Multiple Regression Analysis, Predictor Variables

Smith, Brandon B. – Journal of Vocational Education Research, 1984
This article focuses on steps in conducting empirical-analytic research and the problems of controlling for or estimating three sources of error: the amount of measurement error, research design error, and the amount of statistical or sampling error. (Author/CT)
Descriptors: Analysis of Covariance, Analysis of Variance, Error of Measurement, Objectivity