• Summary
  • Contents

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 ANOVACorrelation analysisMultiple and logistics regressionFactor analysis and testing scale reliabilityAdvanced data handling

Multiple Regression
Multiple regression

Regression analysis is used to assess the relationship between one dependent variable (DV) and several independent variables (IVs). This is the most commonly used technique in much of the social sciences research. Given below are some common applications of regression analysis in business and social sciences:

  • Marketing: The marketing manager wants to know if sales is dependent on factors such as advertising spend, number of products introduced, number of sales personnel etc.
  • Human Resource: The HR department wants to predict the efficiency of management trainees based on their academic performance, leadership abilities, IQ level etc.
  • Social Sciences: A social researcher wants to predict the age of marriage of a girl based on characteristics such as her education level, parent's education level, number of siblings, and ...
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