Since research is best learned by doing, this book emphasizes a hands-on, do-it yourself approach. The readers have many opportunities to see how business researches affect and support management decision. The book used a case study approach for all the chapters with interactive videos. The book gave emphasis to quantitative data analysis using a software program, IBM SPSS 20.0. The data analysis chapters illustrate in detail each step in running the software programs. The software programs files are provided for all data sets: outputs, demonstration movies, and screen captures are on the book's website. This book provides students most extensive help available to learn quantitative data analysis using SPSS. Thus, the authors prepared this textbook and all the additional materials to help the students to understand the functional principles of business research and how to apply them in real-life situations.

Autorentext

Dr. Sreejesh teaches Marketing Research and Business Research Methods using SAS 9.2 and SPSS at post graduate level (MBA) in IBS Hyderabad. He has received graduate and post graduate degrees in Economics from Kerala University, Kerala, MBA from Anna University, Chennai, M.Phil in Management from ICFAI University, Tripura, PhD from IBS, Hyderabad and Management Teachers Training Programme (MTP) from ICFAI, Hyderabad, India. His areas of interest are Qualitative and Quantiative Data Analysis, Marketing Management, Brand Management, Multivariate Data Analysis. He has published more than ten articles in international journals like Southern Business Review, Journal of Global Business Issues, International Journal of Management Studies, Journal of International Business and Economy, Economics Management and Financial Markets, The Romanian Economic Journal, International Management Review, International Journal of Information Technology and Project Management and Indian Journal of Corporate Governance. He also published books of international repute with MACMILLAN Advanced Research Series and Pearson India.

Dr. Sanjay Mohapatra has a B.E. from NIT Rourkela, MBA from XIMB, M.Tech from IIT Madras, India and PhD from Utkal University. Dr. Mohapatra has more than 26 years of combined industry and academic experience. He has worked in various capacities in organizations like Hindusthan Aeronautics Limited, Larsen & Toubro, PricewaterHouse Coopers, Infosys, Polaris & J&B Software. He has consulted many organizations in different domains such as Utilities, Banking, Insurance and healthcare sectors. His teaching interests are in IT Strategy and Management Information Systems and research interests are in the area of IT enabled processes. He has authored/co-authored fourteen books, more than thirty papers in national and international referred journals besides publications in different conferences. His contact details and list of publications can be found at http://ximb.academia.edu/sanjaymohapatra.

Dr. Anusree has a BSC in Mathematics, MSC, M.Phil and PhD in Statistics from Kerala University, Kerala, India. She has published more than ten research papers in international journals of repute. She has also received the best paper award for the Young Statistician Competition in the National Seminar on Recent Trends in Statistics and Related Areas and Annual Conference of Kerala Statistical Association, during March 15-17, 2012 organized by Department of Statistics, University of Calicut, Kerala entitled A new family of skew normal distributions, (2012). She also awarded the KSCSTE (Kerala State Council for Science Technology and Environment) fellowship for the year 2010 and Inspire fellowship from the department of Science and Technology, Ministry of Science and Technology, Government of India for the year 2011 for pursuing PhD.

Inhalt
Introduction to Business Research.- Business Research Process.- Business Research Design: An Overview.- Exploratory Research Design.- Descriptive Research Design.- Causal Research Design: Experimentation.- Measurement and Scaling.- Questionaire Design.- Data Preparation and Preliminary Analysis.- Analysis of Variance (ANOVA).- Regression Analysis.- Factor Analysis.- Cluster Analysis.- Logistic Regression.- Business Research Reports.