Statistical Methods for Practice and Research: A Guide to Data Analysis Using SPSS / Edition 2

Statistical Methods for Practice and Research: A Guide to Data Analysis Using SPSS / Edition 2

by Ajai S Gaur, Sanjaya S Gaur
     
 

ISBN-10: 8132101006

ISBN-13: 9788132101000

Pub. Date: 07/09/2009

Publisher: SAGE Publications

This book is designed to help the managers and researchers in solving statistical problems using SPSS and to help them understand how they can use various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file-types and generate tables, charts, plots, and

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Overview

This book is designed to help the managers and researchers in solving statistical problems using SPSS and to help them understand how they can use various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file-types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. This book will help students, business managers, academics as well as practicing researchers to solve statistical problems using the latest version of SPSS (16.0). After providing a brief overview of SPSS and basic statistical concepts, the book covers:

  • Descriptive statistics t-tests, chi-square tests, and ANOVA
  • Correlation analysis
  • Multiple and logistics regression
  • Factor analysis and testing scale reliability
  • Advanced data handling

Product Details

ISBN-13:
9788132101000
Publisher:
SAGE Publications
Publication date:
07/09/2009
Series:
Response Books Series
Edition description:
Second Edition
Pages:
172
Product dimensions:
7.20(w) x 9.40(h) x 0.40(d)

Table of Contents

Preface
Introduction to SPSS
Basic Statistical Concepts
Summarizing Data: Descriptive Statistics
Comparing Means: One or Two Samples t-Tests
Comparing Means: Analysis of Variance
Chi-Square Test of Independence for Discrete Data
Correlation Analysis
Multiple Regression
Logistic Regression
Data Reduction and Scale Reliability: Factor Analysis
Advanced Data Handling in SPSS
Bibliography

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