![]() ![]() 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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