Research MethodologyFor defining research problems and finding their appropriate solutions, you need to follow a structured approach. A logical series of steps need to be performed right from selecting a topic of research to report writing. Every finding needs to be strengthened by arguments, which are adequately substantiated by data. Research in management areas needs massive experimentation and data support. Management research requires more theoretical rigours and practical insights. However, not much of the available reading material provides extensive focus on management research. Yet students are required to comprehend the nitty-gritty of doing research-right from developing their project reports to final dissertation, as part of their core curriculum. This book is well equipped with fundamentals of research and research designs. Written in a simple language, it covers all facets of management areas with details of statistical tools required for analysis in a research work. Many practical examples and tips for management researchers strengthen the content of this book. It is an essential reading for management students as well as for those who are aspiring to do their doctoral work in management. It conforms to the core syllabus of all universities and institutes. |
Contents
Research Fundamentals and Terminology | 3 |
Unit | 10 |
UNIT 2 | 19 |
Defining Research Problems | 27 |
BLOCK | 201 |
Appendix | 341 |
Glossary | 356 |
Common terms and phrases
analysis of variance ANOVA areas attitude calculated cluster sampling coefficient column compute concept map correlation d₂ data collection decision defined degrees of freedom Delhi dependent variable developed distribution employee empowerment error estimate example experimental factor analysis formula frequency Human Resource independent India industries Instant Shelters interview level of significance management research manpower marketing matrix mean measure method methodology multistage sampling multivariate n₁ normal distribution null hypothesis number of variables objective observed organisation organizations parametric population principal components principal components analysis probability questionnaire questions random numbers ranks ratio regression regression analysis rejection relationship Research Designs research problem respondents rotation sample-employees sampling units scale schedule scores selection simple random sampling specific standard deviation statistical tests stratified sampling structure survey table value tabulation techniques topic total number workers