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Linear regression analysis : assumptions and applications / John P. Hoffmann and Kevin Shafer.
- Format:
- Book
- Author/Creator:
- Hoffmann, John P. (John Patrick), 1962-
- Language:
- English
- Subjects (All):
- Social service--Statistical methods.
- Social service--Research--Methodology.
- Regression analysis.
- Linear models (Statistics).
- Physical Description:
- xiii, 226 pages: illustration ; 23 cm
- Place of Publication:
- Washington, DC : NASW Press, National Association of Social Workers, [2015]
- 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
- Conclusion.
- Notes:
- Includes bibliographical references and index.
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Class of 1924 Book Fund.
- ISBN:
- 0871014572
- 9780871014573
- OCLC:
- 899949368
- Publisher Number:
- 99966627437
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