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

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


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About the Book

There is a growing trend these days to use statistical methods to comprehend and explain various situations and phenomena in different disciplines. Managers, social scientists and practicing researchers are increasingly collecting information and applying scientific methods to analyze the data. The ability to use statistical methods and tools becomes a crucial skill for the success of such efforts. This book is designed to assist students, managers, academics and researchers in solving statistical problems using SPSS and to help them understand how they can apply 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. 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 Illustrated with simple, practical problems, and screen shots, this book outlines the steps for solving statistical problems using SPSS. Although the illustrations are based on version 16.0 of SPSS, users of the earlier versions will find the book equally useful and relevant. Written in a reader-friendly, non-technical style, this book will serve as a companion volume to any statistics textbook.

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

About the Author :
Ajay S Gaur is an Associate 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 PhD in Business Policy and Strategy from NUS Business School under the supervision of Prof Andrew Delios (2003-2007). Prior to that, he obtained another PhD 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 GlaxoSmithKline, 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.

Review :
This book is a concise information source for those who are not much aware about statistical methods for research and how to compute statistical results in SPSS and its interpretations. This book which includes glossary of terms and bibliography could also be considered as a reference book for every field of students, teachers, researchers, academicians, institutions and professionals. The two authors have done a good job of writing the works of the book. Therefore, the book is very useful for every researcher, academician and professional.


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Product Details
  • ISBN-13: 9788132101000
  • Publisher: Sage Publications India Pvt Ltd
  • Publisher Imprint: Sage Publications India Pvt Ltd
  • Edition: Revised edition
  • Language: English
  • Returnable: N
  • Weight: 330 gr
  • ISBN-10: 8132101006
  • Publisher Date: 20 Apr 2009
  • Binding: Paperback
  • Height: 241 mm
  • No of Pages: 172
  • Sub Title: A Guide to Data Analysis Using SPSS
  • Width: 184 mm


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