Applied multiple regression/correlation analysis for the behavioral sciences

The Applied Multiple Regression (LRM) model has been in use in statistical analyses for many years; but it was not until the late 1960's that a model was used to provide a multivariate analysis of the Katsulares/Mitri heart study data that its full power and applicability were totally appreciat...

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Bibliographic Details
Other Authors: Cohen, Jacob, 1923-1998., author (author)
Format: eBook
Language:Inglés
Published: New York : Routledge 2022.
Edition:Thord edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009764927506719
Table of Contents:
  • Introduction
  • Bivariate correlation and regression
  • Multiple regression/correlation with two or more independent variables
  • Data visualization, exploration, and assumption checking: diagnosing and solving regression problems I
  • Data-analytic strategies using multiple regression/correlation
  • Quantitative scales, curvilinear relationships, and transformations
  • Interactions among continuous variables
  • Categorical or nominal independent variables
  • Interactions with categorical variables
  • Outliers and multicollinearity: diagnosing and solving regression problems II
  • Missing data
  • Multiple regression/correlation and causal models
  • Alternative regression models: logistic, Poisson regression, and the generalized linear model
  • Random coefficient regression and multilevel models
  • Longitudinal regression methods
  • Multiple dependent variables: set correlation.