Canonical correlation analysis, the focus of this page. Some of the methods listed are quite reasonable while others have either Analysis methods you might considerīelow is a list of some analysis methods you may have encountered. variables=locus_of_control self_concept motivation read write math science female. Here are the correlations among the variables in the analysis. Variables=locus_of_control self_concept motivation With the one indicating a female student. The variable female is a zero-one indicator variable The academic variables are standardized tests in The psychological variables are locus of control, self-concept and The dataset has 600 observations on eight variables. We have included the data file, which can be obtained by clicking on Whether the neuroticism dimension from the NEO can account for a substantial amount of shared varianceīetween the two tests. She is specifically interested in finding She is interested in what dimensionsĪre common between the tests and how much A researcher is interested in exploring associations among factors from two multidimensional The association between the two sets of variables.Įxample 2. Particular, the researcher is interested in how many dimensions are necessary to understand How the set of psychological variables relates to the academic variables and gender. (standardized test scores) and gender for 600 college freshman. 
Examples of canonical correlation analysisĪ researcher has collected data on three psychological variables, four academic variables Particular, it does not cover data cleaning and checking, verification of assumptions, modelĭiagnostics and potential follow-up analyses.
It does not cover all aspects of the research process which researchers are expected to do. Please Note: The purpose of this page is to show how to use various data analysis commands. Orthogonal linear combinations of the variables within each set that bestĮxplain the variability both within and between sets. Canonical correlation analysis determines a set of canonical variates, Regression would be, but where are there are multiple intercorrelated outcome Identify and measure the associations among two sets of variables.Ĭanonical correlation is appropriate in the same situations where multiple
Version info: Code for this page was tested in IBM SPSS 20.Ĭanonical correlation analysis is used to
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