NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 15 results Save | Export
Rodriguez, Maximo – 1997
Factorial analyses differ from nonfactorial analyses in that in the former all possible hypotheses (all possible main effects and interaction effects) are tested regardless of their substantive interest to the researcher and their interpretability, while in the latter, only substantive and interpretable hypotheses are tested. This paper shows the…
Descriptors: Analysis of Variance, Factor Analysis, Hypothesis Testing, Research Design
Peer reviewed Peer reviewed
Keren, Gideon; Lewis, Charles – Educational and Psychological Measurement, 1979
The importance of measuring the size of an effect for fixed effects factorial analysis of variance designs is emphasized. Technical issues in such measurement are considered and examples are provided. (Author/JKS)
Descriptors: Analysis of Variance, Correlation, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Lutz, Gary J. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Discriminant Analysis, Educational Research, Factor Analysis
Heausler, Nancy L. – 1987
Each of the four classic multivariate analysis of variance (MANOVA) tests of statistical significance may lead a researcher to different decisions as to whether a null hypothesis should be rejected: (1) Wilks' lambda; (2) Lawley-Hotelling trace criterion; (3) Roy's greatest characteristic root criterion; and (4) Pillai's trace criterion. These…
Descriptors: Analysis of Variance, Discriminant Analysis, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Humphreys, Lloyd G.; Park, Randolph K. – Intelligence, 1981
The "factor" analyses published by Schultz, Kaye, and Hoyer (1980) confused component and factor analysis and led to unwarranted conclusions. The principal factors method yields two factors which support the a priori expectation of a difference between intelligence tasks and spontaneous flexibility tasks. (Author/RD)
Descriptors: Analysis of Covariance, Analysis of Variance, Factor Analysis, Factor Structure
SMITH, INEZ L. – 1967
THREE STRUCTURED Q SORTS CONTAINING LIBERAL, CONSERVATIVE, PROGRESSIVE, AND TRADITIONALIST STATEMENTS ENABLED THE INVESTIGATOR TO TEST THE HYPOTHESIS THAT INDIVIDUALS WHO ARE LIBERAL IN THEIR SOCIAL ATTITUDES WILL TEND TO BE PROGRESSIVE IN THEIR EDUCATIONAL ATTITUDES, WHEREAS INDIVIDUALS WHO ARE CONSERVATIVE IN THEIR SOCIAL ATTITUDES WILL TEND TO…
Descriptors: Analysis of Variance, Educational Attitudes, Factor Analysis, Hypothesis Testing
Werts, Charles E.; And Others – 1971
The logical structure of the Campbell and Fiske multitrait-multimethod approach is applied to the problem of studying growth and its determinants. The resulting model is a special case of Joreskog's general model for the analysis of covariance structures. The relationships of traditional psychometric formulations to this model are detailed.…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Factor Analysis
Pohlmann, John T. – 1972
The Monte Carlo method was used, and the factors considered were (1) level of main effects in the population; (2) level of interaction effects in the population; (3) alpha level used in determining whether to pool; and (4) number of degrees of freedom. The results indicated that when the ratio degrees of freedom (axb)/degrees of freedom (within)…
Descriptors: Analysis of Variance, Computer Programs, Factor Analysis, Hypothesis Testing
Baird, Robert N.; Landon, John H. – 1971
This report critiques Herschel Kasper's study on the impact of collective bargaining on public school teachers, a report that found little relation between unionization and average State salary levels. This paper makes three major objections to Kasper's study: (1) its use of State data as the basis for observations in the cross-sectional analysis…
Descriptors: Analysis of Variance, Collective Bargaining, Factor Analysis, Hypothesis Testing
Cason, Carolyn L.; And Others – 1972
Studies were made between performance on tests of mental abilities and concept learning tasks; it is pointed out that the researcher is usually confronted with administering large batteries of tests of mental abilities and then analyzing his results with one of the factor analytic techniques. An information process analysis of tests of mental…
Descriptors: Analysis of Variance, Cognitive Processes, College Students, Concept Formation
Cassel, Russell N. – 1971
This paper relates educational and psychological statistics to certain "Research Statistical Tools" (RSTs) necessary to accomplish and understand general research in the behavioral sciences. Emphasis is placed on acquiring an effective understanding of the RSTs and to this end they are are ordered to a continuum scale in terms of individual…
Descriptors: Analysis of Covariance, Analysis of Variance, Behavioral Science Research, Correlation
Peer reviewed Peer reviewed
Swanson, H. Lee – British Journal of Educational Psychology, 1987
Discusses relation between verbal ability and metamemory and how these two factors relate to the later recallability of material. A study is described that separated 32 children into high and average verbal ability groups, administered a metamemorial questionnaire, and tested recall one week later. (Author/LRW)
Descriptors: Ability Grouping, Analysis of Variance, Children, Correlation
Marsh, Herbert W.; Balla, John R. – 1986
This investigation examined the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA). The first two data sets were derived from large normative samples of responses to a multidimensional self-concept instrument and to a multidimensional instrument used to assess students' evaluations of teaching…
Descriptors: Analysis of Variance, Elementary Secondary Education, Factor Analysis, Goodness of Fit
Hall, Charles E.; And Others – 1973
The VARAN (variance Analysis) program is an addition to a series of computer programs for multivariate analysis of variance. The development of VARAN exploits the full linear model. Analysis of variance, univariate and multivariate, is the program's main target. Correlation analysis of all types is available with printout in the vernacular of…
Descriptors: Analysis of Variance, Computer Programs, Correlation, Data Processing
Penfield, Douglas A. – 1972
Thirty-four papers on educational statistics which were presented at the 1971 AERA Conference are summarized. Six major interest areas are covered: (a) general information; (b) non-parametric methods; (c) errors of measurement and correlation techniques; (d) regression theory; (e) univariate and multivariate analysis; (f) factor analysis. (MS)
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Science Research, Computers