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Neas, Ethel Josephine; And Others – 1972
A study was made of the use of consumer credit by Home Demonstration Club (HDC) members in Blount County, Tennessee, as a basis for planning educational programs. Data were secured by group interviews from 237 Home Demonstration Club members representing 24 clubs. The data were classified according to the members use of consumer credit: those who…
Descriptors: Consumer Economics, Extension Education, Females, Money Management
Evans, G. Edward; And Others – 1969
This report outlines the requirements for a comprehensive, objective, and integrated guide to design of library physical facilities. It then presents a research plan directed at development of three products: (1) an authoritative catalog of the present knowledge of library functions, elements, and techniques of design as they relate to library…
Descriptors: Building Design, Facility Guidelines, Libraries, Library Facilities
Pascale, Pietro J.; Pascale, Jeannie S. – 1976
Trend analysis is explained in nontechnical language with examples given for both parametric and nonparametric situations. Similarities and differences between parametric and nonparametric trend analyses are conveniently charted. Practical research applications for Directors of Testing and Directors of Institutional Research are stressed. A linear…
Descriptors: Higher Education, Research Design, Research Methodology, Statistical Analysis
Peer reviewedNielsen, Warren R.; Kimberly, John R. – Human Resource Management, 1976
Argues that systematic empirical assessment of organizational development (OD) interventions is important and can have benefits both for subject organizations and organizational researchers. Discusses suggested criteria for effective assessment of OD interventions. (For availability see EA 507 198.) (JG)
Descriptors: Evaluation Criteria, Intervention, Organizational Change, Organizational Development
Peer reviewedDeegan, John, Jr. – Educational and Psychological Measurement, 1978
It is demonstrated here that standardized regression coefficients greater than one can legitimately occur. Furthermore, the relationship between the occurrence of such coefficients and the extent of multicollinearity present among the set of predictor variables in an equation is examined. Comments on the interpretation of these coefficients are…
Descriptors: Correlation, Critical Path Method, Multiple Regression Analysis, Research Design
Peer reviewedRoth, Gary L.; Daniel, Wayne W. – Educational and Psychological Measurement, 1978
A table of critical values is presented for use with Chacko's ordered alternatives test for the analysis of variance. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Data
Peer reviewedShine, 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
Peer reviewedGaito, John – Educational and Psychological Measurement, 1978
The conduct of multiple post hoc comparison procedures following an analysis of variance is discussed. Various procedures are contrasted in terms of appropriateness, power, and other features. Octhogonal and nonorthogonal comparisons are discussed. (JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Design
Peer reviewedSchmeidler, James – Educational and Psychological Measurement, 1978
The basic assumption of Cooper's nonparametric test for trend (EJ 125 069) is questioned. It is contended that the proper assumption alters the distribution of the statistic and reduces its usefulness. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics, Research Design
Peer reviewedO'Brien, Ralph G. – Psychometrika, 1978
Several ways of using traditional analysis of variance to test the homogeneity of variance in factorial designs with equal or unequal cell sizes are compared using theoretical and Monte Carlo results. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Design
Peer reviewedSorbom, Dag – Psychometrika, 1978
A general statistical model for simultaneous analysis of data from several groups is described. The model is primarily designed to be used for the analysis of covariance. The model can handle any number of covariates and criterion variables, and any number of treatment groups. (Author/JKS)
Descriptors: Analysis of Covariance, Hypothesis Testing, Mathematical Models, Research Design
Peer reviewedPenfield, Douglas A. – Educational and Psychological Measurement, 1978
The normal scores test for scale (variance) is presented as an alternative for evaluating the equality of dispersion for two independent populations. Test development is indicated as well as examples illustrating large and small sample situations. Reference is made to comparisons with the F, Mood, and Siegel-Tukey tests. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
Peer reviewedHalperin, Silas – Educational and Psychological Measurement, 1978
An analysis of variance model is recommended for data which display a peaked trend. These data are particularly common in psychological studies of stimulus generalization. A variety of hypotheses are suggested, and the testing of these hypotheses is illustrated. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Stimulus Generalization
Peer reviewedGuralnick, Michael J. – Journal of Learning Disabilities, 1978
Arguments are presented suggesting that single-subject research designs can form a basis for establishing a working relationship between researchers and clinicians in the field of learning disabilities. (Author/PHR)
Descriptors: Exceptional Child Research, Learning Disabilities, Relationship, Research Design
Peer reviewedBalon, Robert E.; Philport, Joseph C. – Journal of Broadcasting, 1977
Presents a hypothetical analysis and examples of potential application of canonical correlation, followed by discussion of several critical issues that should be recognized before the statistic is employed. A brief section is devoted to terminology and construction of a canonical correlation. (Author/JEG)
Descriptors: Correlation, Mass Media, Media Research, Research Design


