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Peer reviewedMarascuilo, Leonard A.; Busk, Patricia L. – Journal of Counseling Psychology, 1987
Describes the loglinear model, and applies it to categorical data cross-tabulated on four dimensions. Defines contrasts similar to those of the analysis of variance and describes post hoc and planned comparison strategies. Illustrates hypothesis testing and model building for categorical data, providing guidelines for performing an analysis on…
Descriptors: Behavioral Science Research, Counseling, Hypothesis Testing, Models
Peer reviewedDoreian, Patrick – Journal of the American Society for Information Science, 1988
Describes a study that tested the status-role hypothesis by examining the citation networks of geographic journals at distinct time points. The need to consider time factors and disciplinary conditions when interpreting clustering representations is discussed. (25 references) (CLB)
Descriptors: Citation Analysis, Citation Indexes, Cluster Analysis, Geography
Peer reviewedLutz, Gary J.; Cundari, Leigh A. – Journal of Educational Statistics, 1987
Discusses difficulties encountered in use of the Scheffe procedure to locate the most significant parametric function within a linear statistical model that has been tested and rejected by, for example, analysis of variance. A solution to the problems is presented. (TJH)
Descriptors: Analysis of Variance, Hypothesis Testing, Learning Disabilities, Reading Comprehension
Peer reviewedMuthen, Bengt – Psychometrika, 1984
A structural equation model is proposed with a generalized measurement part, allowing for dichotomous and ordered categorical variables (indicators) in addition to continuous ones. A computationally feasible three-stage estimator is proposed for any combination of observed variable types. Two multiple-indicator modeling examples are given.…
Descriptors: Correlation, Goodness of Fit, Hypothesis Testing, Least Squares Statistics
Peer reviewedNoether, Gottfried E. – Journal of Educational Statistics, 1985
The paper presents a unified approach to some of the more popular nonparametric methods in current use, providing the reader with new insights by exhibiting relationships to relevant population parameters. (Author/LMO)
Descriptors: Higher Education, Hypothesis Testing, Nonparametric Statistics, Regression (Statistics)
Peer reviewedBrewer, James K. – Journal of Educational Statistics, 1985
Six behavioral statistics textbooks listed by their publishers as "bestsellers" during 1982 were reviewed by the author. The intent was to detect the presence of and to discuss the nature of some theoretical inferential inaccuracies, misinterpretations and errors. (Author/LMO)
Descriptors: Higher Education, Hypothesis Testing, Sampling, Statistical Analysis
Peer reviewedCohen, Ayala – Psychometrika, 1986
This article proposes a method for testing equality of variances which exploits Pitman's idea and the computational power of simulations. Several advantages to this method are illustrated. A Monte Carlo study for several combinations of sample sizes and number of variables is presented. (Author/LMO)
Descriptors: Analysis of Covariance, Computer Simulation, Correlation, Hypothesis Testing
Peer reviewedFischhoff, Baruch; Beyth-Marom, Ruth – Psychological Review, 1983
This article explores the potential of Bayesian inference as a theoretical framework for describing how people evaluate hypotheses. First, it identifies a set of logically possible forms of non-Bayesian behavior. Second, it reviews existing research in a variety of areas to see whether these possibilities are ever realized. (Author/BW)
Descriptors: Bayesian Statistics, Bias, Experimenter Characteristics, Hypothesis Testing
Peer reviewedRice, Patricia C. – Anthropology and Education Quarterly, 1985
Describes a classroom project that allows students to learn the scientific method by going through the entire process of data collection, hypothesis generation, data analysis, and hypothesis testing. This instructional activity concerns "book carrying behavior" and is aimed at introductory anthropology students. (KH)
Descriptors: Anthropology, Class Activities, College Instruction, Data Interpretation
Peer reviewedRosenthal, Robert; Rubin, Donald B. – Journal of Educational Psychology, 1984
This article presents a system for avoiding Type I error increases when increasing the number of contrasts computed. Based on the Bonferroni inequality, the procedure corrects for the number of contrasts tested. Although conservative, the Bonferroni system is recommended for its flexibility, simplicity, and generality. (Author/BS)
Descriptors: Analysis of Variance, Effect Size, Hypothesis Testing, Research Methodology
Peer reviewedde Cani, John S. – Journal of Educational Psychology, 1984
While Bonferroni procedures control the risk of Type I errors, their cost is loss of power. Ordered Bonferroni procedures conserve power for more important tests while sacrificing power for less important tests. Both costs and benefits should be considered when choosing weights for individual tests and the overall level of Type I error protection.…
Descriptors: Analysis of Variance, Effect Size, Hypothesis Testing, Research Methodology
Peer reviewedBoehnke, Klaus – Educational and Psychological Measurement, 1984
The effects of some restraints not included in the classical assumptions of the F- and H-Test (e.g., correlation of mean and sample size) were examined in a simulation design. Also simulated was a situation in which two assumptions were not met simultaneously. (Author/BW)
Descriptors: Analysis of Variance, Computer Simulation, Hypothesis Testing, Research Methodology
Peer reviewedThomas, 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
Peer reviewedBecker, George – American Journal of Sociology, 1984
Merton claims an important role for German pietism in the rapid rise of Western science over the past four centuries. An investigation of sources either misinterpreted or ignored by Merton not only calls into question his conclusion about pietism and science but also opens discussion about ascetic Protestantism and science. (Author/IS)
Descriptors: Epistemology, European History, Hypothesis Testing, Religion
Peer reviewedMerton, Robert K. – American Journal of Sociology, 1984
In a reply to Becker's critique of the relationship between pietism and science, Merton discusses the fallacy of the latest word, which is based on the idea that scientific knowledge always proceeds upwards and that the latest theory is the best theory as well as the one best grounded in evidence. (Author/IS)
Descriptors: Epistemology, European History, Hypothesis Testing, Religion


