Data Analysis in Management with SPSS Software [electronic resource] / by J.P. Verma.

Format:

Book

Author/Creator:

Verma, J.P., Author.

Language:

English

Subjects (All):

Statistics.

Statistics for Social Sciences, Humanities, Law.

Statistics for Business, Management, Economics, Finance, Insurance.

SPSS (Computer file).

Local Subjects:

Statistics for Social Sciences, Humanities, Law.

Statistics for Business, Management, Economics, Finance, Insurance.

Physical Description:

1 online resource (498 p.)

Edition:

1st ed. 2013.

Place of Publication:

New Delhi : Springer India : Imprint: Springer, 2013.

Language Note:

English

Summary:

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.

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 - 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: Logistic Regression – Developing a model for Risk Analysis

Chapter 14: Multidimensional Scaling for product positioning.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

81-322-0786-6

OCLC:

822565869