Research Methods for Postgraduates by Greenfield, Tony -- Read -- Imperial Library of Trantor

Index

Cover Title Page Copyright About the Author List of Contributors Preface to the Third Edition Preface to the Second Edition Preface to the First Edition Part I: First Steps

1: A View of Research

Introduction Contents Creativity

2: The Research Journey: Four Steps to Success

Part 1: Reviewing the Field Part 2: Theory Building Part 3: Theory Testing Part 4: Reflection and Integration Summary and conclusions References Notes

3: Managing Your Doctorate

Introduction Approaching and Starting Your Doctorate Planning Your Research Project Organising Your Research Managing Your Research Managing Your Relationship with Your Supervisory Team Managing Yourself Completing Your Submission Preparing for Your Viva On the Day Disseminating Your Findings Conclusions References Note

4: Documenting Your Work

Why Document? Documenting Data How to Document? In Conclusion References

5: Ethics of Research

Introduction Background Codes of Conduct Politics Cutting Corners Fraud References

6: Plagiarism

Some Examples Stopping Plagiarism Conclusion

7: Critically Reviewing Your Own Research

Introduction A Checklist from the Experts in Reviewing Research The Issue of Criticality Conclusions Appendix Note

Part II: Support

8: Research Proposals for Funding

Introduction Find a Suitable Funder Plan Your Proposal Write Your Proposal How Much to Charge? Checks before Submission What Happens Next? If You Are Unsuccessful If You Are Successful The Future

9: Who Can Help?

Introduction Supervisors Attracting Ideas Academic Sources of Help Other Sources of Help Summary

10: Information and Library Services

Introduction Know Your Librarian Develop the Skills You Need Tracking down Books Journal Articles and Electronic Sources Accessing Other Libraries Studying at a Distance Keep a Record of What You Have Done Research Data Management Conclusion References

11: Research Methods for Advanced Web Searching

Some Background How It Works and How to Work It Web Filtering Finding the Academic Websites That Search Engines Cannot Find Finding Journal Articles Conclusions List of Websites Referred to in the Text References

12: Searching in Unfamiliar Fields

A Strategy for Search Searching in Unfamiliar Territory Keywords Conclusions Appendix: Specimen Search Profile References

13: Sources of Population Statistics

Why Are Statistics about Populations So Important? Populations and Classifications Which Population Counts Would You Ideally Like for Your Project? Which Organisations Produce and Supply Data? What Are the Major Sources of Population Statistics? Conclusions: Hunting Population Statistics

14: An Introduction to Bibliometrics

Why a Chapter on Bibliometrics? Introduction The Definition of Bibliometrics The History of Bibliometrics Bibliometrics as a Research Field Bibliometrics and Evaluation of Research Bibliometrics Indicators Conclusions References Notes

15: Choosing and Using Software for Statistics

What Can You Afford? What Sort of Person Are You? Emphasising the Graphical Taking Direct Command of Your Software Going for the Best of Both Worlds Special Cases Suitability for Your Purpose And Finally …

16: Computer Support for Data Analysis

Introduction Five Stages of Statistical Method Confirmatory and Exploratory Analysis Computing Resources Standard Statistical Packages Specialised Statistical Packages Conclusion References

Part III: Measurement and Experimentation

17: Instrumentation in Experimentation

Introduction Concept of Measurement Measurement Systems: Basic Principles Performance of Measurement Systems Evaluation of Measurement Instrumentation Discussion Websites for Software and Hardware Websites on Safety and Standards References

18: Randomised Trials

Introduction Trial Design Analysis Interpretation of Results References

19: Laboratory and Industrial Experiments

Introduction Principles of Experimental Design References

20: Experiments in Biological Sciences

Blocking Treatment Structure Other Types of Blocking Structure Assumptions of the Analysis Transformations Generalised Linear Models Spatial Covariance Models Repeated Measurements Conclusion References

21: Survey Research

What Is a Survey? Dimensions of Surveys Questionnaire Design Modes of Questionnaire Administration Ethics Practicalities Pros and Cons of Each Method of Administration References Further Reading

22: Theory and Practice of Qualitative Research

What Is Qualitative Research, and Why Use It? Qualitative versus Quantitative Research Typologies of Qualitative Research Questioning-Driven Qualitative Research Methods Observation-Driven Qualitative Research Methods Software Support of Qualitative Research Reliability and Validity of Qualitative Research References

23: Kansei Engineering

An Introduction to Kansei Engineering A Model for Kansei Engineering Studies An Example Using Printed Paper Sheets References

24: Principles of Sampling

Introduction Why Sample? Sample Design Inference Bias, Variance and Accuracy Non-probability Sampling Probability Sampling Capture–Recapture Sampling Adaptive Sampling Sample Size Weighting Summary References

25: Sampling in Human Studies

Introduction Important Considerations Stratification Sampling Frames Sampling General Populations Sampling Special Populations Screening a General Population Sample Weighting References

26: Interviewing

Introduction The Case for and against Interviewing Varieties of Interview Internet Interviewing Interview Questions Interviewing as a Process Upon Arrival Recording Interviews Analysing Interviews Final Reflections upon Interviewing Internet Resources References

27: Measurement Error

Introduction Scales of Measurement Four Researchers Who Need to Measure How Good Are Their Measurements? How Can We Best Describe the Performance of a Process? Assessing a Measurement Process in Psychology Assessing a Measurement Process in Engineering Research A Procedure for Assessing Engineering Measurement Processes A Procedure for Assessing Chemical Measurement Processes Errors in Data Taken from Computer Files Measurement Uncertainty Summary References

Part IV: Data Analysis

28: Elementary Statistics

Introduction Scales Basic Measures Simple Distributions Estimating Parameters Testing Hypotheses Conclusion References Further Reading

29: Further Statistical Methods

Introduction Regression Analysis Logistic Regression Discriminant Analysis Analysis of Variance Other Methods Time Series Other Techniques References Further Reading

30: Spreadsheets: A Few Tips

Introduction Part One: Data Source Part Two: Data Analysis Reference

Part V: Special Tools

31: The Value of Mathematical Models

Introduction Mathematical Modelling Learning Mathematics Mathematical Software Literature Searches Reading Papers with Mathematical Content Promoting Applications of Mathematics Advanced Courses Types of Mathematical Models Typing Mathematics in Your Thesis Summary References

32: Deterministic Models

Introduction Mathematical Software Discrete and Continuous Variables Linear and Non-linear Systems Vibration Control Vibration Control of an Out-of-Balance Rotor Finite Element Modelling Finite Difference Method Control Theory Catastrophe Theory (Singularity Theory) Wave Motion Conclusion References

33: Stochastic Models and Simulation

Introduction Random or Deterministic? Random Number Generation Comparing Random and Deterministic Models for Arrivals Synchronous or Asynchronous Simulation Classifying Stochastic Models Applications of Markov Chains Applications of Point Processes and Simulation Applications of Time Series, Signal Processing and Simulation A Random Field Model for Rainfall Other Random Field Models How Can Maths Fight Influenza? Bayesian Modelling Conclusion References

34: Optimisation

Introduction Calculus Descent Algorithms Linear Programming Mathematical Programming Duality Dynamic Programming and Stochastic Dynamic Programming Simulated Annealing and Genetic Algorithms Conditional Value at Risk Multi-objective Optimisation Case Study (Sanchez et al., 2012) References Notes

Part VI: Presentation

35: Writing the Thesis

Introduction Structure Style Statistics References Further Reading

36: The Logic of a Research Report

Introduction Background The Argument Discussion Summary and Conclusions References Notes

37: Presenting Data

Introduction Key Points Visualisation Presenting Visualisations to Lay Audiences Using Visualisations in the Process of Research A Final Word on Good Practice

38: Presenting and Sharing Your Research

Introduction What Kind of Event? The Keys to Great Personal Presentations Sharing Your Presentation

39: Reporting Research

Ethical Imperative of Responsible Publication of Research Studies General Principles of Reporting Medical Research Reporting Guidelines Reporting Randomised Controlled Trials: The Consolidated Standards of Reporting Trials (CONSORT) Statement Reporting Analytical Observational Studies: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement Reporting Systematic Reviews: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement The Enhancing the Quality and Transparency of Health Research (EQUATOR) Library for Health Research Reporting: A Free Online Resource Concluding Remarks References Further Reading Note

40: Social Media – How to Make It Work for You as a Post-Graduate

Email Hitting the Toenail on the Head: A Small Portion of Spam Websites Social Networking Sites Blogs and Micro-blogs A Word about Trolls Spell Checkers Backups Clouds

Part VII: Next Steps

41: Protection and Exploitation of Intellectual Property

Introduction What Is Intellectual Property? Know-how Copyright* Design Right and Registered Design* Unregistered or ‘Intellectual’ Assets Trademarks* Patents* How to Turn Your IP into Money Make an Outline Business Plan Patents – Pros and Cons Conclusion

42: Career Opportunities

Choosing the Right Career Common Destinations of Doctoral Graduates Key Messages Acknowledgements References

Index EULA

← Prev
Back
Next →

← Prev
Back
Next →