<div>Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of m
Regression Analysis and Linear Models: Concepts, Applications, and Implementation
โ Scribed by Darlington, Richard B.; Hayes, Andrew F.; Little, Todd D
- Publisher
- Guilford Publications;The Guilford Press
- Year
- 2017
- Tongue
- English
- Leaves
- 661
- Series
- Methodology in the Social Sciences
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: Statistical control and linear models --
The simple regression model --
Partial relationship and the multiple regression model --
Statistical inference in regression --
Extending regression analysis principles --
Statistical versus experimental control --
Regression for prediction --
Assessing the importance of regressors --
Multicategorical regressors --
More on multicategorical regressors --
Multiple tests --
Nonlinear relationships --
Linear interaction --
Probing interactions and various complexities --
Mediation and path analysis --
Detecting and managing irregularities --
Power, measurement error, and various miscellaneous topics --
Logistic regression and other linear models.
โฆ Subjects
MATHEMATICS -- Probability & Statistics -- Regression Analysis
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