Jacob Cohen, Patricia Cohen, Stephen G. West, Leona S. Aiken

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Classic text on applied multiple regression considered the bible among graduate students and researchers.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 536
• Erscheinungstermin: 17. Juni 2013
• Englisch
• ISBN-13: 9781134801015
• Artikelnr.: 42683532

Autorenporträt

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

Inhaltsangabe

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.