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Volume :6 Issue : 23 1986      Add To Cart                                                                    Download

Multiple Regression Analysis: A Model for Mass Communications Research

Auther : Syed H. Pasha

Multiple regression analysis is a highly sophisticated and powerful statistical and methodological technique for investigating interrelationships among three or more variables especially where the variables have been conceptually classified into dependent and independent and where causality is suspected. Sound research, however, is not based on elegant methodology alone but requires good grounding in theory just as it must satisfy the requirements of reliability and validity of the research instrument. Multiple regression procedures are based on certain descriptive and inferential assumptions, which must be met in order for the results to be valid. However, regression techniques are fairly robust and minor violations of underlying assumptions do not affect their outcomes. The article also discusses the procedures for calculating r2s and F tests. In the end a number of studies from mass communication literature are cited in relation to their use of multiple regression techniques either for exploring interrelationships among variables or for calculating path coefficients in causal models.

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