Abstract
This article examines applications of multiple regression in rehabilitation research. The authors address the logic and assumptions of correlational research, annotated with examples from the contemporary rehabilitation and allied health literature. As a means of testing relationships between a set of independent variables and one dependent variable, multiple regression is presented as a flexible and useful data analytic strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 209-215 |
| Number of pages | 7 |
| Journal | Work |
| Volume | 15 |
| Issue number | 3 |
| State | Published - 2000 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Correlational research
- Multiple regression
- Statistics
ASJC Scopus subject areas
- Rehabilitation
- Public Health, Environmental and Occupational Health
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