Data Analysis in Management with SPSS Software

✍ Scribed by J.P. Verma (auth.)

Publisher: Springer India
Year: 2013
Tongue: English
Leaves: 498
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

Front Matter....Pages i-xxi
Data Management....Pages 1-27
Descriptive Analysis....Pages 29-67
Chi-Square Test and Its Application....Pages 69-101
Correlation Matrix and Partial Correlation: Explaining Relationships....Pages 103-132
Regression Analysis and Multiple Correlations: For Estimating a Measurable Phenomenon....Pages 133-165
Hypothesis Testing for Decision-Making....Pages 167-220
One-Way ANOVA: Comparing Means of More than Two Samples....Pages 221-254
Two-Way Analysis of Variance: Examining Influence of Two Factors on Criterion Variable....Pages 255-290
Analysis of Covariance: Increasing Precision in Comparison by Controlling Covariate....Pages 291-316
Cluster Analysis: For Segmenting the Population....Pages 317-358
Application of Factor Analysis: To Study the Factor Structure Among Variables....Pages 359-387
Application of Discriminant Analysis: For Developing a Classification Model....Pages 389-412
Logistic Regression: Developing a Model for Risk Analysis....Pages 413-442
Multidimensional Scaling for Product Positioning....Pages 443-460
Back Matter....Pages 461-481

✦ Subjects

Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law; Statistics for Business/Economics/Mathematical Finance/Insurance

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