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Survey Research and Sampling [Minkštas viršelis]

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  • Formatas: Paperback / softback, 136 pages, aukštis x plotis: 242x170 mm, weight: 250 g
  • Serija: The SAGE Quantitative Research Kit
  • Išleidimo metai: 21-Mar-2022
  • Leidėjas: Sage Publications Ltd
  • ISBN-10: 1526423804
  • ISBN-13: 9781526423801
Kitos knygos pagal šią temą:
Survey Research and SamplingDidesnis paveikslėlis
  • Formatas: Paperback / softback, 136 pages, aukštis x plotis: 242x170 mm, weight: 250 g
  • Serija: The SAGE Quantitative Research Kit
  • Išleidimo metai: 21-Mar-2022
  • Leidėjas: Sage Publications Ltd
  • ISBN-10: 1526423804
  • ISBN-13: 9781526423801
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781526423801.html
Raktažodžiai:

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.

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 the range of skills needed for watertight survey research and sampling.

List of Tables and Boxes
ix
About the Author xi
1 Introduction
1(8)
Why Do We Need to Worry About Sampling and Survey Design?
2(1)
The Approach of This Volume
3(2)
Overview of the Content of This Volume
5(4)
2 Sampling Approaches: How to Achieve Representativeness
9(22)
Introduction
10(2)
Populations and Sampling Frames
12(3)
Probability and Non-Probability Sampling
15(1)
Approaches to Probability Sampling
16(4)
Simple Random Sampling
16(2)
Cluster and Midtistage Sampling
18(1)
Stratified Sampling
19(1)
Approaches to Non-Probability Sampling
20(11)
Quota Sampling
21(3)
Common Alternative Non-Probability Sampling Methods
24(1)
Respondent-Driven Sampling
25(6)
3 Sampling Mode: How We Actually Collect the Data
31(22)
Introduction
32(1)
Data Collection Methods
32(11)
Face-to-Face
33(2)
Telephone
35(2)
Direct Mail
37(2)
Internet Based
39(2)
Combining Methods
41(2)
Considering Non-Response Bias
43(3)
Adjustments After Data Collection: Weighting
46(1)
Applying Weights to Account for Response Biases
46(2)
Applying Weights to Account for Attrition
48(5)
4 Questionnaire Design: Asking the Right Questions
53(28)
Introduction
54(1)
Distinguishing Between Different Types of Questions
55(7)
Open- and Closed-Ended Questions
55(1)
Single-Answer Multiple-Choice Questions
55(2)
Multiple-Answer-Item Questions
57(1)
Likert Scale Questions
58(2)
Numerical Scale Questions
60(1)
Ranking Questions
61(1)
Open Format (With Predetermined Units)
62(1)
What Makes Good Questions - and Some Common Pitfalls
62(10)
Non-Discrete Questions
64(2)
Providing Non-Discrete Answer Option Sets
66(2)
Providing Uncomprehensive Answer Option Sets
68(2)
Leading Questions
70(1)
Social Desirability
71(1)
Thinking About the Questionnaire Structurally
72(6)
The Effect of Question and Answer Option Order
72(2)
Linking Questions for Analyses
74(2)
Validity and Reliability Concerns
76(2)
Conclusion
78(3)
5 Ensuring Survey Quality: Piloting, Checks and Cross-Cultural Comparability
81(22)
Introduction
82(1)
The Complex Path to a Good-Quality Survey
82(5)
Pre-Fieldwork Quality Checks
87(7)
Cognitive Interviewing
87(2)
Piloting
89(1)
Interviewer Preparation and Briefings
90(3)
Translation
93(1)
Post-Fieldwork Quality Checks
94(9)
Data Cleaning
94(2)
Sensitivity Analyses
96(1)
Cross-Cultural Construct Validity
97(6)
6 Conclusion
103(6)
Glossary 109(2)
References 111(8)
Index 119
Dr Jan Eichhorn is a Senior Lecturer in Social Policy at the University of Edinburgh. Using mostly large-scale survey data, he focusses on researching political engagement and attitudes of people across Europe and explores empirical challenges to orthodox microeconomic assumptions. Jans research presents challenges to commonly held assumptions about people political views. He particularly has developed empirical insights into the political views and behaviour of 16- and 17-year olds when enfranchised to vote. Jan teaches courses in quantitative methods and public policy as well as courses on economic thinking. In addition to his academic work, he also acts as research director of the Berlin-based think tank d|part, which aims to make research on political participation useful for practitioners.