Real World Research provides a clear route-map of the various steps needed to carry out a piece of applied research to a high professional standard. It is accessible to those without a social science background while providing rigorous and fully up-to-date coverage of contemporary issues and debates. It brings together materials and approaches from different social science disciplines, seeing value in both quantitative and qualitative approaches, as well as their combination in mixed-method designs.
Research Methods for Business Students has been fully revised for this seventh edition and continues to be the market-leading textbook in its field, guiding hundreds of thousands of student researchers to success in their research methods modules, research proposals, projects and dissertations. So, if you're thinking . . . 'How do I choose my topic?' 'I'm confused by all these different philosophies' 'I need to collect my data; what do I do first?' 'When and what do I need to write? . . . then, open this book to discover...
A complete introduction to doing business research, Business Research Methods is the ideal guide for students embarking on a research project. Together with real students and supervisors, the authors draw on their own extensive experience to give readers tips for success and provide advice to help them avoid common mistakes.
This book provides a step-by-step guide to implementing particular methodologies, while simultaneously encouraging a strong awareness of philosophical assumptions. NEW to the Fourth Edition: - Expanded coverage to accommodate recent developments in management research methodology. New topics include: doing a literature review, case study research, action research, mixed methods, and writing-up. - Packed with practical research examples and exercises that encourage students to reflect upon the issues raised and relate them to their own experience.
The authors incorporate a program of practical exercises in SPSSusing a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.