About the Book
SPSS. Powerful, user-friendly, and useful, particularly in psychology, sociology, psychiatry, and other social sciences. But to fully exploit its capabilities and effectively execute its wide range of procedures, users need detailed, to-the-point guidance that other resources lack.
A Handbook of Statistical Analyses Using SPSS clearly and concisely describes how to conduct univariate and multivariate statistical analyses using the latest release of SPSS, version 11. Each chapter addresses a different type of analytical procedure and applies it to real data sets, primarily, though not exclusively, from the social and behavioral sciences. The authors briefly review the theoretical background of many of the techniques, but they set that material apart in boxes so that the presentation of the various analyses proceeds without interruption.
Each chapter ends with exercises, some related to the data sets introduced in that chapter, others introducing additional data sets. These data sets and answers to most of the exercises are available for download at www.iop.kcl.ac.uk/iop/departments/BioComp/SPSSBook.shtml.
If you're a relative newcomer to performing statistical analyses, a new user of SPSS, or a veteran on both fronts, A Handbook of Statistical Analyses Using SPSS will be a welcome addition to your library. Researchers and students alike will find this a convenient, self-contained route to using SPSS for effective data analysis.
Table of Contents
Brief Introduction To SPSS, Data Description And Simple Inference For Continuous Data. Simple Inference for Categorical Data. Multiple Linear Regression. Analysis of Variance I: One-Way Designs. Analysis of Variance Ii: Factorial Designs. Analysis of Repeated Measures I: Analysis of Variance Type Models. Analysis of Repeated Measures Ii: Linear Mixed Effects Models. Logistic Regression. Survival Analysis. Principal Components Analysis and Factor Analysis. Classification: Cluster Analysis and Discriminant Function Analysis. References.
Download This Book
SPSS. Powerful, user-friendly, and useful, particularly in psychology, sociology, psychiatry, and other social sciences. But to fully exploit its capabilities and effectively execute its wide range of procedures, users need detailed, to-the-point guidance that other resources lack.
A Handbook of Statistical Analyses Using SPSS clearly and concisely describes how to conduct univariate and multivariate statistical analyses using the latest release of SPSS, version 11. Each chapter addresses a different type of analytical procedure and applies it to real data sets, primarily, though not exclusively, from the social and behavioral sciences. The authors briefly review the theoretical background of many of the techniques, but they set that material apart in boxes so that the presentation of the various analyses proceeds without interruption.
Each chapter ends with exercises, some related to the data sets introduced in that chapter, others introducing additional data sets. These data sets and answers to most of the exercises are available for download at www.iop.kcl.ac.uk/iop/departments/BioComp/SPSSBook.shtml.
If you're a relative newcomer to performing statistical analyses, a new user of SPSS, or a veteran on both fronts, A Handbook of Statistical Analyses Using SPSS will be a welcome addition to your library. Researchers and students alike will find this a convenient, self-contained route to using SPSS for effective data analysis.
Table of Contents
Brief Introduction To SPSS, Data Description And Simple Inference For Continuous Data. Simple Inference for Categorical Data. Multiple Linear Regression. Analysis of Variance I: One-Way Designs. Analysis of Variance Ii: Factorial Designs. Analysis of Repeated Measures I: Analysis of Variance Type Models. Analysis of Repeated Measures Ii: Linear Mixed Effects Models. Logistic Regression. Survival Analysis. Principal Components Analysis and Factor Analysis. Classification: Cluster Analysis and Discriminant Function Analysis. References.
Download This Book
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