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Direct linkZientek, Linda Reichwein; Thompson, Bruce – Educational Researcher, 2009
Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…
Descriptors: Effect Size, Correlation, Researchers, Multivariate Analysis
Peer reviewedFleming, James S. – Educational and Psychological Measurement, 1981
The perfunctory use of factor scores in conjunction with regression analysis is inappropriate for many purposes. It is suggested that factoring methods are most suitable for independent variable sets when some consideration has been given to the nature of the domain, which is implied by the predictors. (Author/BW)
Descriptors: Factor Analysis, Multiple Regression Analysis, Predictor Variables, Research Problems
Peer reviewedFok, Lillian Y.; And Others – Journal of Education for Business, 1995
Discusses the nature, power, and limitations of four multivariate techniques: factor analysis, multiple analysis of variance, multiple regression, and multiple discriminant analysis. Shows how decision trees assist in interpreting results. (SK)
Descriptors: Business Administration Education, Data Interpretation, Discriminant Analysis, Factor Analysis
