Cross-Validation Analysis for the Canonical Case.
作者： Leslie L. Crossman
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摘要: The present paper suggests that multivariate techniques are very important in social science research, and canonical correlation analysis may be particularly useful. logic of is explained discussed. necessity using replicability/generalizability analyses argued. It suggested cross-validation procedures should usei to examine the replicability results obtained by implemented augment interpretation. These illustrated a small heuristic data set. (An appendix gives Statistical Package for Social Sciences commands correlation.) Two tables included. (Contains 21 references.) (Author) *********************************************************************** Reproductions supplied EDRS best can made * from original document. U S DEPARTMENT OF ED,-1TION 0t1ce Educetronst Research Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 7/ms document has peen reproduced as reoewed person or orpantalon orfgrnatfny Mmor changes have Peen 10 frnprove reprOductron grainty Pomts mew opmrons slated .011,5 dOCU men do not neCesSanly represent oh.c(a, OEM POSMon pOirCy PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY 4_g2_5 /jJ5 THE (ERIC)" CROSS-VALIDATION ANALYSIS FOR CANONICAL CASE
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