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The Palgrave Handbook of Survey Research

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Cover of 'The Palgrave Handbook of Survey Research'

Table of Contents

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    Book Overview
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    Chapter 1 Assessing the Accuracy of Survey Research
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    Chapter 2 The Importance of Probability-Based Sampling Methods for Drawing Valid Inferences
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    Chapter 3 Sampling for Single and Multi-Mode Surveys Using Address-Based Sampling
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    Chapter 4 Evidence About the Accuracy of Surveys in the Face of Declining Response Rates
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    Chapter 5 Sampling to Minimize Nonresponse Bias
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    Chapter 6 Cross-National Issues in Response Rates
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    Chapter 7 Choosing a Mode of Survey Data Collection
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    Chapter 8 Mixed-Mode and Mixed-Device Surveys
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    Chapter 9 The Use and Effects of Incentives in Surveys
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    Chapter 10 Methods for Determining Who Lives in a Household
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    Chapter 11 Harmonization for Cross-National Comparative Social Survey Research: A Case Study Using the “Private Household” Variable
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    Chapter 12 Answering for Someone Else: Proxy Reports in Survey Research
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    Chapter 13 Improving Question Design to Maximize Reliability and Validity
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    Chapter 14 Cognitive Interviewing in Survey Design: State of the Science and Future Directions
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    Chapter 15 Survey Interviewing: Departures from the Script
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    Chapter 16 How to Improve Coding for Open-Ended Survey Data: Lessons from the ANES
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    Chapter 17 Applying Human Language Technology in Survey Research
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    Chapter 18 Maintaining Respondent Trust and Protecting Their Data
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    Chapter 19 Tackling Panel Attrition
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    Chapter 20 Respondent Attrition Versus Data Attrition and Their Reduction
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    Chapter 21 Best Practices for Creating Survey Weights
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    Chapter 22 New Kinds of Survey Measurements
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    Chapter 23 The Role of Surveys in the Era of “Big Data”
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    Chapter 24 Getting the Most Out of Paradata
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    Chapter 25 Open Probability-Based Panel Infrastructures
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    Chapter 26 Collecting Interviewer Observations to Augment Survey Data
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    Chapter 27 “Just One More Thing”: Using Leave-Behind Measurement Supplements to Augment Survey Data Collection
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    Chapter 28 Ecological Momentary Assessment in Survey Research
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    Chapter 29 Biomarkers in Representative Population Surveys
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    Chapter 30 Measuring Past Events Using Calendar Aids
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    Chapter 31 Collecting Social Network Data
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    Chapter 32 Methods of Linking Survey Data to Official Records
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    Chapter 33 Linking Individual-Level Survey Data to Consumer File Records
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    Chapter 34 Linking Survey Data to Administrative Records in a Comparative Survey Context
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    Chapter 35 Linking Survey Data with the Catalist Commercial Database
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    Chapter 36 Challenges and Opportunities in Collecting Election Administration Data
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    Chapter 37 Challenges with Validating Survey Data
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    Chapter 38 The Promise of Collaborative Data Sharing Across Research Sectors
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    Chapter 39 The Importance of Data Curation
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    Chapter 40 Improving the Usability of Survey Project Websites
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    Chapter 41 The Role of Transparency in Maintaining the Legitimacy and Credibility of Survey Research
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    Chapter 42 Evidence-Based Survey Operations: Choosing and Mixing Modes
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    Chapter 43 Best Practices for Survey Research
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    Chapter 44 Reasons for Optimism About Survey Research
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    Chapter 45 Probability Versus Non-Probability Methods
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    Chapter 46 Address-Based and List-Based Sampling
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    Chapter 47 The Impact of Survey Non-response on Survey Accuracy
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    Chapter 48 Optimizing Response Rates
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    Chapter 49 Data Collection Mode
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    Chapter 50 Survey Incentives
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    Chapter 51 Building Household Rosters Sensibly
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    Chapter 52 Proxy Reporting
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    Chapter 53 Questionnaire Design
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    Chapter 54 Cognitive Evaluation of Survey Instruments
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    Chapter 55 Interviewer Deviations from Scripts
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    Chapter 56 Coding Open Responses
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    Chapter 57 What HLT Can Do for You (and Vice Versa)
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    Chapter 58 Confidentiality, Privacy, and Anonymity
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    Chapter 59 Panel Attrition
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    Chapter 60 Computation of Survey Weights
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    Chapter 61 Paradata
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    Chapter 62 Interviewer Observations
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    Chapter 63 Leave-Behind Measurement Supplements
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    Chapter 64 Ecological Momentary Assessment and Experience Sampling
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    Chapter 65 Biomarkers
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    Chapter 66 Specialized Tools for Measuring Past Events
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    Chapter 67 Linking Survey Data to Official Government Records
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    Chapter 68 Linking Knowledge Networks Web Panel Data with External Data
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    Chapter 69 History and Promise and Blending Survey Data with Government Records on Turnout
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    Chapter 70 Improving Information Quality and Availability Through Interactions Between Government and Academic, and Industry Survey Research Sectors
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    Chapter 71 Metadata and Preservation
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    Chapter 72 Usability of Survey Project Websites
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    Chapter 73 Research Transparency and the Credibility of Survey-Based Social Science
Attention for Chapter 24: Getting the Most Out of Paradata
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Chapter title
Getting the Most Out of Paradata
Chapter number 24
Book title
The Palgrave Handbook of Survey Research
Published by
Palgrave Macmillan, Cham, January 2018
DOI 10.1007/978-3-319-54395-6_24
Book ISBNs
978-3-31-954394-9, 978-3-31-954395-6
Authors

Frauke Kreuter

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 29%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 9%
Researcher 3 9%
Lecturer 2 6%
Other 4 11%
Unknown 9 26%
Readers by discipline Count As %
Business, Management and Accounting 11 31%
Engineering 4 11%
Chemical Engineering 2 6%
Computer Science 2 6%
Arts and Humanities 2 6%
Other 5 14%
Unknown 9 26%

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