This book is designed to help 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 practising researchers to solve statistical problems using the latest version of SPSS (14.0). 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 Illustrated with simple, practical problems, and with the help of screen shots, this book outlines the steps for solving statistical problems using SPSS. Even though the illustrations are based on version 14.0 of SPSS, users of the earlier versions (10, 11, 12, 13) will find the book equally useful.
Written in a reader-friendly, non-technical style, the book is illustrated with simple, practical problems and useful screen shots and diagrams.
Table of Contents
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