Doing Research in Business and Management has been written to help students obtain a thorough understanding of the main methodological issues and options that are available to them as business and management researchers undertaking a masters or doctoral degree. Doing Research in Business and Management takes the reader through all of the important issues that need to be understood if a competent piece of research is to be produced at the masters or doctoral level in the business and management studies. The authors explain the interrelationship between the theoretical and empirical research as well as the differences between positivism and phenomenology. Not only do they put these concepts in context for the business and management student, but they go on to discuss how these different approaches are used in practice. Furthermore, the authors discuss the implications of quantitative and qualitative approaches to research. The book offers high-level advice on different numerical techniques available to researchers as well as different software packages that may be used for analyzing qualitative data. The book also discusses the use of the Internet to support research in masters and doctoral programs. A wide range of research tactics are discussed and the reader is offered examples of how these have been used in recent dissertations or theses for masters or doctoral degrees. In addition, the book takes an in-depth look at the case study, one of the most important approaches used by business and management students. Finally the book looks closely at how masters and doctoral degrees are evaluated by examiners and provides a checklist that students may use to ensure that they have complied with all the research requirements for their masters or doctoral degree. Doing Research in Business and Management will be of interest to all business and management students thinking about or obtaining their masters or doctoral degree.
- 12.1 Introduction 206
- 12.2 Background 206
- 12.3 The Origins and Basis of Statistics 207
- 12.4 Representing Evidence 209
- 12.5 Measures of Distribution 210
- 12.6 Distributions 212
- 12.7 Testing Hypotheses 213
- 12.8 Type I and Type II Errors 214
- 12.9 Comparisons 214
- 12.10 Tests of Association 216
- 12.11 Regression 217
- 12.12 Correlation 219
- 12.13 Analysis of Variance 219
- 12.14 Multivariate Analysis 222
- 12.15 Summary and Conclusion 224
- Suggested Further Reading 224
- Notes 224
Like dreams, statistics are a form of wish fulfillment.
He uses statistics as a drunken man uses lamp-posts for support rather than illumination.