Diagnosing and dealing with multicollinearity
| Autor: | Stacey Levine-Silverman, Mary Ann Schroeder, Janice Lander |
|---|---|
| Rok vydání: | 1990 |
| Předmět: |
Nursing practice
Value (ethics) 030504 nursing Computer science Theoretical models Reproducibility of Results Models Theoretical Regression 03 medical and health sciences Nursing Research 0302 clinical medicine Nursing Theory Multicollinearity Multivariate Analysis Econometrics Humans Regression Analysis 030212 general & internal medicine Sources of error 0305 other medical science General Nursing |
| Zdroj: | Western journal of nursing research. 12(2) |
| ISSN: | 0193-9459 |
| Popis: | The purpose of this article was to increase nurse researchers' awareness of the effects of collinear data in developing theoretical models for nursing practice. Collinear data distort the true value of the estimates generated from ordinary least-squares analysis. Theoretical models developed to provide the underpinnings of nursing practice need not be abandoned, however, because they fail to produce consistent estimates over repeated applications. It is also important to realize that multicollinearity is a data problem, not a problem associated with misspecification of a theorectical model. An investigator must first be aware of the problem, and then it is possible to develop an educated solution based on the degree of multicollinearity, theoretical considerations, and sources of error associated with alternative, biased, least-square regression techniques. Decisions based on theoretical and statistical considerations will further the development of theory-based nursing practice. |
| Databáze: | OpenAIRE |
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