NotesFAQContact Us
Search Tips
ERIC Number: ED085793
Record Type: RIE
Publication Date: 1972-Oct
Pages: 10
Abstractor: N/A
Reference Count: 0
Multivariate Analysis in Communication Research--Regression.
Eli, Jack C.
Multiple regression analysis is not beyond the reach of most researchers and research classes. It may prove beneficial to the communication researcher for a number of reasons. One of its most significant contributions to effective research is the utility of looking at several variables simultaneously. Another contribution of multiple regression analysis is the various types of data that may be analyzed. The researcher may study mutually exclusive dichotomous scores depicting group membership as a variable. The researcher may also study continuous variables such as test scores or ages of subjects. Another characteristic of multiple regression analysis is its ease of application to field studies. The major weakness of multiple regression analysis lies in its assumption of causality. The major method for controlling this deficiency lies in the logic of the research design. The design should include all of the recognized independent variables and may be discovered through two approaches. The first approach is to review the literature relevant to an area of research, discerning from past studies what the major independent variables have been. The second approach involves using factor analysis and multiple regression as complements to one another. (WR)
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A
Note: Paper given at the Annual Meeting of the Texas Speech Association (San Antonio, October, 1972)