<p><span>Part of The SAGE Quantitative Research Kit, This book is an ideal companion for those looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on:<br> <br> </span></p><ul><li><span><s
Survey Research and Sampling
โ Scribed by Jan Eichhorn
- Publisher
- SAGE Publications
- Year
- 2022
- Tongue
- English
- Leaves
- 143
- Series
- The SAGE Quantitative Research Kit
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Part of The SAGE Quantitative Research Kit, This book is an ideal companion for those looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on:
- Selecting the best sampling method for your research
- Designing questionnaires to ensure you gather valuable data
- Collecting your data to represent populations well
- Piloting questionnaires to ensure quality research
Students typically find sampling demanding, but it is one of the most important skills learnt by undergraduates. Jan Eichorn gives them the know-how and confidence needed to succeed in their quantitative methodology and research journey.
โฆ Table of Contents
Half Title
Acknowledgements
Title Page
Copyright Page
Contents
Table List
Sidebar List
About the Author
1 Introduction
2 Sampling Approaches: How to Achieve Representativeness
3 Sampling Mode: How We Actually Collect the Data
4 Questionnaire Design: Asking the Right Questions
5 Ensuring Survey Quality: Piloting, Checks and Cross-Cultural Comparability
6 Conclusion
Glossary
References
Index
๐ SIMILAR VOLUMES
Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges p
Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above a