Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

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Routledge, 17/06/2013 - 536 páginas
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This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.

The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .

Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

 

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Review: Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Procura do Utilizador  - David Burkam - Goodreads

The bible ... plain and simple. You might not enjoy reading it, but the book is not for entertainment purposes. Ler crítica na íntegra

Índice

1 Introduction
1
2 Bivariate Correlation and Regression
19
3 Multiple RegressionCorrelation With Two or More Independent Variables
64
Diagnosing and Solving Regression Problems I
101
5 DataAnalytic Strategies Using Multiple RegressionCorrelation
151
6 Quantitative Scales Curvilinear Relationships and Transformations
193
7 Interactions Among Continuous Variables
255
8 Categorical or Nominal Independent Variables
302
Logistic Poisson Regression and the Generalized Linear Model
479
14 Random Coefficient Regression and Multilevel Models
536
15 Longitudinal Regression Methods
568
Set Correlation
608
APPENDICES
629
References
655
Glossary
671
Statistical Symbols and Abbreviations
683

9 Interactions With Categorical Variables
354
Diagnosing and Solving Regression Problems II
390
11 Missing Data
431
12 Multiple RegressionCorrelation and Causal Models
452
Author Index
687
Subject Index
691
Direitos de autor

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Palavras e frases frequentes

Acerca do autor (2013)

Jacob Cohen (Author) , Patricia Cohen (Author) , Stephen G. West (Author) , Leona S. Aiken (Author)

Informação bibliográfica