Linear regression analysis : assumptions and applications

Linear regression analysis : assumptions and applications /

"Social work and other social and behavioral science students and researchers need to have a suite of research tools to conduct studies. Regression analysis is a popular tool that is used in numerous studies to examine statistical relationships among variables. Yet there are few books that offe...

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Bibliographic Details
Main Author: Hoffmann, John P. (John Patrick), 1962-
Other Authors: Shafer, Kevin
Format: Book
Language:English
Published: Washington, DC : NASW Press, National Association of Social Workers, [2015]
Subjects:
Social service > Statistical methods.
Social service > Research > Methodology.
Regression analysis.
Linear models (Statistics)
Table of Contents:
  • A review of some elementary statistical concepts
  • Simple linear regression
  • Multiple linear regression analysis
  • The ANOVA table and goodness-of-fit
  • Comparing linear regression models
  • Dummy variables in linear regression models
  • Specification errors in linear regression models
  • Measurement errors in linear regression models
  • Collinearity and multicollinearity
  • Nonlinear associations and interaction terms
  • Heteroscedasticity and autocorrelation
  • Influential observations : leverage points and outliers
  • A brief introduction to logistic regression
  • An introduction to multilevel models.

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