TY - JOUR
AU - Walberg, Herbert J.
AB - CANONICAL VARIATE ANALYSIS AND RELATED TECHNIQUES Richard B. Darlington and Sharon L. Weinberg1 Cornell University and Herbert J. Walberg University of Illinois Thi s paper discusses statistical methods for studying relations between two sets of variables, when each set contains more than one variable. The number of methods discussed is about 20 or 25, depending on how one counts. About a third of the methods are old methods criticized here, another third are old methods mentioned favorably, and the rest are new methods published here for the first time. It has not been adequately recognized that problems involving two sets of variables arise frequently in almost every area of the behavioral sciences, as the following list of examples will attest: 1. Practical prediction problems (a) Test battery vs. criterion variables. (b) Two test batteries. 2. Theoretical problems about content relations between two sets (a) Stimulus vs. response variables, or independent vs. depen­ dent variables. (b) Two sets of response variables—for example, interests vs. career plans (Cooley, 1967); interests vs. academic achieve­ ment (Bargmann, 1961); affective factors vs. academic achievement (Kahn, 1969); biological vs. behavioral vari­ ables. 3. Problems involving variables measured on two occasions (a) Time 1 vs. time 
TI - Canonical Variate Analysis and Related Techniques
JF - Review of Educational Research
DO - 10.3102/00346543043004433
DA - 1973-12-01
UR - https://www.deepdyve.com/lp/sage/canonical-variate-analysis-and-related-techniques-Zusjz4huLl
SP - 433
EP - 454
VL - 43
IS - 4
DP - DeepDyve
ER -