Multiple regression in rehabilitation research
Related Experiment Videos
Dimiter Dimitrov1, Shawn Fitzgerald, Phillip Rumrill
1Kent State University, Department of Educational Foundations & Special Services, 507 White Hall, P.O. Box 5190, Kent, OH 44242-0001, USA.
Work (Reading, Mass.)
|November 21, 2002
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.
Related Concept Videos
01:25Multiple Regression
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
01:52Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...