Includes bibliographical references and index.

Pt. 1. First steps -- Ch. 1. A view of research / Tom Bourner -- Ch. 2. The Research Journey: four steps to success / Tom Bourner and Sue Greener -- Ch. 3. Managing your doctorate / Stan Taylor -- Ch. 4. Documenting Your Work / Vivien Martin -- Ch. 5. Ethics of research /
Tony Greenfield -- Ch. 6. Plagiarism / Tony Greenfield -- Ch. 7. Critically Reviewing Your Own Research / Tom Bourner and Juliet Millican -- Pt. 2. Support -- Ch. 8. Research Funding Proposals / Lowry McComb. Ch. 9. Who Can Help? / Shirley Coleman -- Ch. 10. Information and Library services / Claire Abson -- Ch. 11. The research methods for advanced Web searching / Alastair Allan -- Ch. 12. Searching in Unfamiliar Fields / Tom Bourner and Sue Greener -- Ch. 13. Sources of Population Statistics / Keith Dugmore -- Ch. 14. An Introduction to Bibliometrics / Silvia Salini. Ch. 15. Choosing and using software for statistics / Felix Grant and Sue Greener -- Ch. 16. Computer support for data analysis / Clifford E Lunneborg and Sue Greener -- Pt. 3. Measurement and experimentation -- Ch. 17. Instrumentation in experimentation / Anand D Pandyan, Frederike van Wijck and Garth R Johnson -- Ch. 18. Randomised trials / Douglas Altman -- Ch. 19. Laboratory and industrial experiments / Tony Greenfield -- Ch. 20. Experiments in biological sciences / Roger Payne -- Ch. 21. Survey Research / David de Vaus -- Ch. 22. Theory and Practice of Qualitative Research / Irena Ograjensek -- Ch. 23. Kansei Engineering / Lluis Marco-Almagro -- Ch. 24. Principles of sampling / Peter Lynn -- Ch. 25. Sampling in Human Studies / Peter Lynn -- Ch. 26. Interviewing / Mark Hughes -- Ch. 27. Measurement Error / Roland Caulcutt -- Pt. 4. Data analysis -- Ch. 28. Elementary Statistics / David J. Hand -- Ch. 29. Further statistical methods / David J. Hand -- Ch. 30. Spreadsheets: a few tips / Tony Greenfield and Andrea Benn -- Pt. 5. Special tools -- Ch. 31. The value of mathematical models / Andrew Metcalfe -- Ch. 32. Deterministic models / Andrew Metcalfe -- Ch. 33. Stochastic models and simulation / David Green and Andrew Metcalfe -- Ch. 34. Optimisation / Aiden Fisher and Andrew Metcalfe -- Pt. 6. Presentation -- Ch. 35. Writing the thesis / Tony Greenfield -- Ch. 36. The Logic Of A Research Report / Tom Bourner and Linda Heath -- Ch. 37. Presenting data / Sue Greener -- Ch. 38. Presenting and sharing your research / Sue Greener -- Ch. 39. Social Media - How to make it work for you as a Post-Graduate / Suzanne and Catherine Fraser-Martin -- Pt. 7. Next steps -- Ch. 40. Protection and Exploitation of Intellectual Property / Patrick Andrews -- Ch. 41. Career opportunities / Sara Shinton.

>Research Methods for Postgraduates brings together guidance for postgraduate students on how to organise, plan and do research from an interdisciplinary perspective. In this new edition, the already wide-ranging coverage is enhanced by the addition of new chapters on social media, evaluating the research process, Kansei engineering and medical research reporting. The extensive updates also provide the latest guidance on issues relevant to postgraduates in all subject areas, from writing a proposal and securing research funds, to data analysis and the presentation of research, through to intellectual property protection and career opportunities.

This thoroughly revised new edition provides:
- Clear and concise advice from distinguished international researchers on how to plan, organize and conduct research;
- New chapters explore social media in research, evaluate the research process, Kansei engineering and discuss the reporting of medical research;
- Check lists and diagrams throughout.