Multiple regression and beyond / Timothy Z. Keith.

"Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex methods that flow naturally from multiple regression: path analysis, confirmatory factor analysis, and structural equation modeling. By focusing on the concepts a...

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Bibliographic Details
Main Author: Keith, Timothy Z., 1952-
Language:English
Published: Boston, Mass. : Pearson Education, [2006], ©2006.
Subjects:
Regression analysis.
Analyse de régression.
Physical Description:xvi, 534 pages : illustrations ; 24 cm
Format: Book

MARC

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300 |a xvi, 534 pages :  |b illustrations ;  |c 24 cm 
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504 |a Includes bibliographical references (pages 511-516) and indexes. 
505 0 0 |t Multiple Regression --  |t Introduction and Simple (Bivariate) Regression --  |t Simple (Bivariate) Regression --  |t Regression in Perspective --  |t Review of Some Basics --  |t Working with Extant Data Sets --  |t Multiple Regression: Introduction --  |t A New Example: Regressing Grades on Homework and Parent Education --  |t Direct Calculation of [beta] and R[superscript 2] --  |t Multiple Regression: More Detail --  |t Why R[superscript 2] '' r[superscript 2]+r[superscript 2] --  |t Predicted Scores and Residuals --  |t Least Squares --  |t Regression Equation = Creating a Composite? --  |t Assumptions of Regression and Regression Diagnostics --  |t Three and More Independent Variables and Related Issues --  |t Three Predictor Variables --  |t Rules of Thumb: Magnitude of Effects --  |t Four Independent Variables --  |t Common Causes and Indirect Effects --  |t The Importance of R[superscript 2]? --  |t Prediction and Explanation --  |t Three Types of Multiple Regression --  |t Simultaneous Multiple Regression --  |t Sequential Multiple Regression --  |t Stepwise Multiple Regression --  |t The Purpose of the Research --  |t Combining Methods --  |t Analysis of Categorical Variables --  |t Dummy Variables --  |t Other Methods of Coding Categorical Variables --  |t Unequal Group Sizes --  |t Additional Methods and Issues --  |t Categorical and Continuous Variables --  |t Sex, Achievement, and Self-Esteem --  |t Interactions --  |t A Statistically Significant Interaction --  |t Specific Types of Interactions Between Categorical and Continuous Variables --  |t Caveats and Additional Information --  |t Continuous Variables: Interactions and Curves. 
520 1 |a "Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex methods that flow naturally from multiple regression: path analysis, confirmatory factor analysis, and structural equation modeling. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae (the "plug and chug" approach), students learn in a less threatening way. As a result, they are more likely to be interested in conducting research using MR, CFA, or SEM - and are more likely to use the methods wisely."--Jacket. 
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