Data Analysis in Management with SPSS Software

This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

Table of Contents

Chapter 1: Data Management
Chapter 2: Descriptive Analysis
Chapter 3: Chi-Square Test and Its Application
Chapter 4: Correlation Matrix and Partial Correlation: Explaining Relationships
Chapter 5: Regression Analysis and Multiple Correlations: For Estimating a Measurable Phenomenon
Chapter 6: Hypothesis Testing for Decision-Making
Chapter 7: One-Way ANOVA: Comparing Means of More than Two Samples
Chapter 8: Two-Way Analysis of Variance: Examining Influence of Two Factors on Criterion Variable
Chapter 9: Analysis of Covariance: Increasing Precision in Comparison by Controlling Covariate
Chapter 10: Cluster Analysis: For Segmenting the Population
Chapter 11: Application of Factor Analysis: To Study the Factor Structure Among Variables
Chapter 12: Application of Discriminant Analysis: For Developing a Classification Model
Chapter 13: Logistic Regression: Developing a Model for Risk Analysis
Chapter 14: Multidimensional Scaling for Product Positioning