NotesFAQContact Us
Search Tips
ERIC Number: ED435704
Record Type: Non-Journal
Publication Date: 2000-Jan
Pages: 34
Abstractor: N/A
Reference Count: N/A
The Importance of Structure Coefficients in Multiple Regression: A Review with Examples from Published Literature.
Burdenski, Thomas K., Jr.
This paper discusses the importance of interpreting both regression coefficients and structure coefficients when analyzing the results of multiple regression analysis, particularly with correlated predictor variables. The concepts of multicolinearity and suppressor effects are introduced, along with examples from the previously published articles that demonstrate how erroneous conclusions are drawn when researchers fail to consult both beta weights and structure coefficients (or both beta weights and zero-order correlations). (Contains 4 tables, 1 figure, and 39 references.) (Author/SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A