Regression analysis, Linear

Publication Type

Book Chapter

Publication Date

11-2017

Abstract

Linear regression is a versatile analysis. Simple linear regression shows the relationship between a dependent variable and an independent variable. Multiple regression controls for and models the effects of additional independent variables, and can include interaction effects. Hierarchical regression separates independent variables into theoretically meaningful blocks. A useful function of linear regression is to predict values of the dependent variable, although such prediction does not imply causation. Linear regression is available for a number of quantitative methods, including cross-sectional surveys, longitudinal surveys, and experimental designs.

Keywords

hierarchical regression, interaction effects, multiple regression, simple linear regression

Discipline

Communication | Critical and Cultural Studies

Research Areas

Integrative Research Areas

Publication

International encyclopedia of communication research methods

Editor

J. Matthes

First Page

1

Last Page

15

ISBN

9781118901762

Identifier

10.1002/9781118901731.iecrm0208

Publisher

Wiley

City or Country

Hoboken, NJ

Additional URL

https://doi.org/10.1002/9781118901731.iecrm0208

This document is currently not available here.

Share

COinS