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Data Analysis in Management with SPSS Software [Hardcover]

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  • Category: Books (Social Science)
  • Author:  Verma, J.P.
  • Author:  Verma, J.P.
  • ISBN-10:  8132207858
  • ISBN-10:  8132207858
  • ISBN-13:  9788132207856
  • ISBN-13:  9788132207856
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  450
  • Pages:  450
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Mar-2012
  • Pub Date:  01-Mar-2012
  • SKU:  8132207858-11-SPRI
  • SKU:  8132207858-11-SPRI
  • Item ID: 100956406
  • List Price: $99.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.
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.This book helps readers understand the application of advanced statistical techniques by using SPSS and interpreting the findings. It gives them the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences.

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 - For testing the variability among group Means.- Chapter 8: Two Way Analysis of Variance  For Understanding the Causes of Variations.- Chapter 9:? Analysis of Covariance- To study the role of covariate in Experimental Research.- 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:l³"

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