NotesFAQContact Us
Collection
Advanced
Search Tips
ERIC Number: ED121809
Record Type: Non-Journal
Publication Date: 1976-Apr
Pages: 20
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Transformation of Both Predictor and Criterion Variables to a Simplified Regression Structure.
Ping, Chieh-min; Tucker, Ledyard R.
Prediction for a number of criteria from a set of predictor variables in a system of regression equations is studied with the possibilities of linear transformations applied to both the criterion and predictor variables. Predictive composites representing a battery of predictor variables provide identical estimates of criterion scores as do the original variables. A search for simple structure as in rotation of axes in factor analysis, resulting in transformed regression weights., is demonstrated. This simplified structure has both theoretical and practical importance in application. Illustration of this canonical predictive composite system is demonstrated with three real data sets. (Author)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A