• 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

### Chapter 5: Comparing Means: Analysis of Variance

##### Comparing Means: Analysis of Variance
Comparing means: Analysis of variance

ANOVA or Analysis of Variance is used to compare the means of more than two populations. It uncovers the main and interaction effects of classification or independent variables on one or more dependent variables. ANOVA has found extensive application in psychological research using experimental data. It can also be used in business management, especially in consumer behavior and marketing management related problems. The examples given below will help in understanding the applicability of ANOVA for solving practical problems:

• Consumer behavior: A researcher wants to investigate the impact of three different advertising stimuli on the shopping propensity of males and females as well as consumers of different age brackets. The dependent variable here is shopping propensity and independent ...
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