Statistical Methods for Practice and Research: A Guide to Data Analysis Using SPSS / Edition 2

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Overview

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 ANOVA
  • Correlation analysis
  • Multiple and logistics regression
  • Factor analysis and testing scale reliability
  • Advanced data handling
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Product Details

  • ISBN-13: 9788132101000
  • Publisher: SAGE Publications
  • Publication date: 7/9/2009
  • Series: Response Books Series
  • Edition description: Second Edition
  • Edition number: 2
  • Pages: 172
  • Product dimensions: 7.20 (w) x 9.40 (h) x 0.40 (d)

Meet the Author

Ajay S Gaur is an Assistant Professor of Strategic Management and International Business in the Department of Management and Global Business at Rutgers Business School- Newark and New Brunswick since 2009. Prior to this, he was an Assistant professor at the Old Dominion University, VA (2007-2009) and a Research Fellow at the Indian Institute of Foreign Trade (IIFT), New Delhi, India (2000-2003).

He had obtained a Ph D in Business Policy and Strategy from NUS Business School under the supervision of Prof Andrew Delios (2003-2007). Prior to that, he obtained another Ph D in Management from the Department of Management Studies at Indian School of Mines (ISM)(2000-2003), while working as a Research Fellow at IIFT. He also obtained an MBA from IIFT (1998-2000) and a B. Tech. (Mining Engineering) from ISM (1994-1998).

His research interests lie at the intersection of strategy and international business. Currently, he is working on understanding the strategic adaptation of emerging economy firms during institutional transition. This line of work focuses on the interplay between internal governance structure and external governance environment and its effect on firm strategies and performance. He has also worked on issues related to institutional distance between different governance environments, MNCs' ownership strategies, staffing strategies and entry mode choice in international investments. Empirically, he had examined firms based in Australia, China, Germany, India, Japan, New Zealand, South Korea, UK and USA.

Sanjaya Singh Gaur is an Associate Professor of Sales and Marketing at Auckland University of Technology. His experience in academia spans over two decades and includes research, consulting, teaching and training. He has taught and conducted research at BITS Pilani, ISM Dhanbad, SPJIMR Mumbai & IIT Bombay in India, the University of Hoseo and SIT University in South Korea, Linköping University in Sweden, Westphalian Wilhelms University of Muenster in Germany and Stepehen M. Ross School of Business, University of Michigan, Ann Arbor in USA. Dr Gaur has also been consultant to several multinational companies including Glaxo Smith Kline, AMO, Johnson & Johnson, HSBC, Ranbaxy Laboratories, RFCL, Geologistics India, KMPL, SGS and Godrej & Boyce. He has published books titled “Board Characteristics and Firm Performance: Evidence from New Zealand”, "Statistical Methods for Practice and Research – A Guide to Data Analysis Using SPSS" and "Event Marketing and Management ". Some of his research has appeared in journals such as Journal of Management Studies, European Journal of Marketing, Journal of Business Research, The International Review of Retail, Distribution and Consumer Research, Managing Service Quality, Journal of Services Research, The Marketing Review, Asia Pacific Journal of Marketing and Logistics and Asian Journal of Marketing among others.

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Table of Contents

Preface
Introduction to SPSS
Basic Statistical Concepts
Summarizing Data: Descriptive Statistics
Comparing Means: One or Two Samples t-Tests
Comparing Means: Analysis of Variance
Chi-Square Test of Independence for Discrete Data
Correlation Analysis
Multiple Regression
Logistic Regression
Data Reduction and Scale Reliability: Factor Analysis
Advanced Data Handling in SPSS
Bibliography

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