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Applied Univariate, Bivariate, and Multivariate Statistics Using SPSS

Titre :

Applied Univariate, Bivariate, and Multivariate Statistics Using SPSS

Caractéristiques :


Auteur(s) :Daniel J. Denis
Editeur :WILEY-BLACKWELL
Parution :11/2018
Langue :Anglais Anglais
Nbre de pages :200
ISBN :9781119465812
Reliure :Livre relié
Prix :129.00 € ttc
Disponibilité :Livraison sous 10 jours ouvrés.

Couverture :


Applied Univariate, Bivariate, and Multivariate Statistics Using SPSS

Résumé :

Enables readers to start doing actual data analysis fast for a truly hands-on learning experience


This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction.


SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to:




-Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts


-Make use of computational tools used by data analysis professionals.


-Focus on real-world application to apply concepts from the book to actual research




Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent how-to book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.

Table des matières :

Preface


Acknowledgements


Chapter 1 Review of Essential Statistical Principles Big Picture on Statistical Modeling and Inference


Chapter 2 Introduction to SPSS


Chapter 3 Exploratory Data Analysis, Basic Statistics, and Visual Displays


Chapter 4 Data Management in SPSS


Chapter 5 Inferential Tests on Correlations, Counts, and Means


Chapter 6 Power Analysis and Estimating Sample Size


Chapter 7 Analysis of Variance Fixed and Random Effects


Chapter 8 Repeated Measures ANOVA


Chapter 9 Simple and Multiple Linear Regression


Chapter 10 Logistic Regression


Chapter 11 Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis


Chapter 12 Principal Components Analysis


Chapter 13 Exploratory Factor Analysis


Chapter 14 Non-Parametric Tests


Closing Remarks & Next Steps


Index

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