Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

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

Buch | Softcover

736 Seiten

2002 | 3rd Revised edition
Routledge (Verlag)
978-1-138-01238-7 (ISBN)

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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.

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

Contents: Preface. 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. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.

Erscheint lt. Verlag	15.8.2014
Verlagsort	London
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Geschichte ► Allgemeine Geschichte ► Neuzeit (bis 1918)
	Geisteswissenschaften ► Geschichte ► Regional- / Ländergeschichte
	Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie
	Mathematik / Informatik ► Mathematik
	Sozialwissenschaften ► Politik / Verwaltung ► Politische Systeme
	Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie
ISBN-10	1-138-01238-6 / 1138012386
ISBN-13	978-1-138-01238-7 / 9781138012387
Zustand	Neuware