Advances in longitudinal survey methodology / edited by Peter Lynn.

Format:

Book

Contributor:

Lynn, Peter, 1966- editor.

Series:

Wiley series in probability and statistics.

Wiley series in probability and statistics

Language:

English

Subjects (All):

Longitudinal method.

Surveys--Methodology.

Surveys.

Physical Description:

1 online resource (xxvii, 516 pages) : illustrations.

Place of Publication:

Hoboken, New Jersey : Wiley, [2021]

Summary:

"The methodology of longitudinal surveys is a specialist topic which has evolved from the field of survey methodology. Survey methodology itself has evolved over the last century or so, with an early focus on sampling theory (1890s to 1940s), followed by attention to question and questionnaire design (1940s to 1970s) and obtaining respondent participation (1980s to 2000s). More recent developments included web survey methods and mixed mode methods, other uses of new technologies, data linkage, the use of paradata. Though the first longitudinal surveys began in the 1960s, such surveys were rare until the 1980s. Researchers became increasingly aware of various unique features and opportunities of longitudinal surveys and methodological research into these unique features developed rapidly throughout the 1990s and 2000s. The data produced by longitudinal surveys allow researchers to better understand dynamic processes of change, including processes of cause-and-effect, that can barely be addressed by data from cross-sectional surveys. An understanding of the implications of the methodological options available for the design and implementation of such surveys will help researchers to produce better longitudinal data in future."-- Provided by publisher.

Contents:

Cover

Wiley Series in Probability and Statistics

Title Page

Copyright

Contents

List of Contributors

Preface

About the Companion Website

Chapter 1 Refreshment Sampling for Longitudinal Surveys

1.1 Introduction

1.2 Principles

1.3 Sampling

1.3.1 Sampling Frame

1.3.2 Screening

1.3.3 Sample Design

1.3.4 Questionnaire Design

1.3.5 Frequency

1.4 Recruitment

1.5 Data Integration

1.6 Weighting

1.7 Impact on Analysis

1.8 Conclusions

References

Chapter 2 Collecting Biomarker Data in Longitudinal Surveys

2.1 Introduction

2.2 What Are Biomarkers, and Why Are They of Value?

2.2.1 Detailed Measurements of Ill Health

2.2.2 Biological Pathways

2.2.3 Genetics in Longitudinal Studies

2.3 Approaches to Collecting Biomarker Data in Longitudinal Studies

2.3.1 Consistency and Relevance of Measures Over Time

2.3.2 Panel Conditioning and Feedback

2.3.3 Choices of When and Who to Ask for Sensitive or Invasive Measures

2.3.4 Cost

2.4 The Future

Chapter 3 Innovations in Participant Engagement and Tracking in Longitudinal Surveys

3.1 Introduction and Background

3.2 Literature Review

3.3 Current Practice

3.4 New Evidence on Internet and Social Media for Participant Engagement

3.4.1 Background

3.4.2 Findings

3.4.2.1 MCS

3.4.2.2 Next Steps

3.4.3 Summary and Conclusions

3.5 New Evidence on Internet and Social Media for Tracking

3.5.1 Background

3.5.2 Findings

3.5.3 Summary and Conclusions

3.6 New Evidence on Administrative Data for Tracking

3.6.1 Background

3.6.2 Findings

3.6.3 Summary and Conclusions

3.7 Conclusion

Acknowledgements

Chapter 4 Effects on Panel Attrition and Fieldwork Outcomes from Selection for a Supplemental Study: Evidence from the Panel Study of Income Dynamics.

4.1 Introduction

4.2 Conceptual Framework

4.3 Previous Research

4.4 Data and Methods

4.5 Results

4.6 Conclusions

Chapter 5 The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Cooperation

5.1 Introduction

5.2 Literature Review

5.3 Biological Data Collection and Subsequent Cooperation: Research Questions

5.4 Data

5.5 Modelling Steps

5.6 Results

5.7 Discussion and Conclusion

5.8 Implications for Survey Researchers

Chapter 6 Understanding Data Linkage Consent in Longitudinal Surveys

6.1 Introduction

6.2 Quantitative Research: Consistency of Consent and Effect of Mode of Data Collection

6.2.1 Data and Methods

6.2.2 Results

6.2.2.1 How Consistent Are Respondents about Giving Consent to Data Linkage between Topics?

6.2.2.2 How Consistent Are Respondents about Giving Consent to Data Linkage over Time?

6.2.2.3 Does Consistency over Time Vary between Domains?

6.2.2.4 What Is the Effect of Survey Mode on Consent?

6.3 Qualitative Research: How Do Respondents Decide Whether to Give Consent to Linkage?

6.3.1 Methods

6.3.2 Results

6.3.2.1 How Do Participants Interpret Consent Questions?

6.3.2.2 What Do Participants Think Are the Implications of Giving Consent to Linkage?

6.3.2.3 What Influences the Participant's Decision Whether or Not to Give Consent?

6.3.2.4 How Does the Survey Mode Influence the Decision to Consent?

6.3.2.5 Why Do Participants Change their Consent Decision over Time?

6.4 Discussion

Chapter 7 Determinants of Consent to Administrative Records Linkage in Longitudinal Surveys: Evidence from Next Steps

7.1 Introduction

7.2 Literature Review

7.3 Data and Methods

7.3.1 About the Study

7.3.2 Consents Sought and Consent Procedure.

7.3.3 Analytic Sample

7.3.4 Methods

7.4 Results

7.4.1 Consent Rates

7.4.2 Regression Models

7.4.2.1 Concepts and Variables

7.4.2.2 Characteristics Related to All or Most Consent Domains

7.4.2.3 National Health Service (NHS) Records

7.4.2.4 Police National Computer (PNC) Criminal Records

7.4.2.5 Education Records

7.4.2.6 Economic Records

7.5 Discussion

7.5.1 Summary of Results

7.5.2 Methodological Considerations and Limitations

7.5.3 Practical Implications

Chapter 8 Consent to Data Linkage: Experimental Evidence from an Online Panel

8.1 Introduction

8.2 Background

8.2.1 Experimental Studies of Data Linkage Consent in Longitudinal Surveys

8.3 Research Questions

8.4 Method

8.4.1 Data

8.4.2 Study 1: Attrition Following Data Linkage Consent

8.4.3 Study 2: Testing the Effect of Type and Length of Data Linkage Consent Questions

8.5 Results

8.5.1 Do Requests for Data Linkage Consent Affect Response Rates in Subsequent Waves? (RQ1)

8.5.2 Do Consent Rates Depend on Type of Data Linkage Requested? (RQ2a)

8.5.3 Do Consent Rates Depend on Survey Mode? (RQ2b)

8.5.4 Do Consent Rates Depend on the Length of the Request? (RQ2c)

8.5.5 Effects on Understanding of the Data Linkage Process (RQ3)

8.5.6 Effects on Perceptions of the Risk of Data Linkage (RQ4)

8.6 Discussion

Chapter 9 Mixing Modes in Household Panel Surveys: Recent Developments and New Findings

9.1 Introduction

9.2 The Challenges of Mixing Modes in Household Panel Surveys

9.3 Current Experiences with Mixing Modes in Longitudinal Household Panels

9.3.1 The German Socio‐Economic Panel (SOEP)

9.3.2 The Household, Income, and Labour Dynamics in Australia (HILDA) Survey

9.3.3 The Panel Study of Income Dynamics (PSID)

9.3.4 The UK Household Longitudinal Study (UKHLS).

9.3.5 The Korean Labour and Income Panel Study (KLIPS)

9.3.6 The Swiss Household Panel (SHP)

9.4 The Mixed‐Mode Pilot of the Swiss Household Panel Study

9.4.1 Design of the SHP Pilot

9.4.2 Results of the First Wave

9.4.2.1 Overall Response Rates in the Three Groups

9.4.2.2 Use of Different Modes in the Three Groups

9.4.2.3 Household Nonresponse in the Three Groups

9.4.2.4 Individual Nonresponse in the Three Groups

9.5 Conclusion

Chapter 10 Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies: Current Practice and Issues

10.1 Introduction

10.2 Types of Mixed‐Mode Designs

10.3 Mode Effects and Longitudinal Data

10.3.1 Estimating Change from Mixed‐Mode Longitudinal Survey Data

10.3.2 General Concepts in the Investigation of Mode Effects

10.3.3 Mode Effects on Measurement in Longitudinal Data: Literature Review

10.4 Methods for Estimating Mode Effects on Measurement in Longitudinal Studies

10.5 Using Structural Equation Modelling to Investigate Mode Differences in Measurement

10.6 Conclusion

Acknowledgement

Chapter 11 Measuring Cognition in a Multi‐Mode Context

11.1 Introduction

11.2 Motivation and Previous Literature

11.2.1 Measurement of Cognition in Surveys

11.2.2 Mode Effects and Survey Response

11.2.3 Cognition in a Multi‐Mode Context

11.2.4 Existing Mode Comparisons of Cognitive Ability

11.3 Data and Methods

11.3.1 Data Source

11.3.2 Analytic Sample

11.3.3 Administration of Cognitive Tests

11.3.4 Methods

11.3.4.1 Item Missing Data

11.3.4.2 Completion Time

11.3.4.3 Overall Differences in Scores

11.3.4.4 Correlations Between Measures

11.3.4.5 Trajectories over Time

11.3.4.6 Models Predicting Cognition as an Outcome

11.4 Results

11.4.1 Item‐Missing Data

11.4.2 Completion Time.

11.4.3 Differences in Mean Scores

11.4.4 Correlations Between Measures

11.4.5 Trajectories over Time

11.4.6 Substantive Models

11.5 Discussion

Chapter 12 Panel Conditioning: Types, Causes, and Empirical Evidence of What We Know So Far

12.1 Introduction

12.2 Methods for Studying Panel Conditioning

12.3 Mechanisms of Panel Conditioning

12.3.1 Survey Response Process and the Effects of Repeated Interviewing

12.3.2 Reflection/Cognitive Stimulus

12.3.3 Empirical Evidence of Reflection/Cognitive Stimulus

12.3.3.1 Changes in Attitudes Due to Reflection

12.3.3.2 Changes in (Self‐Reported) Behaviour Due to Reflection

12.3.3.3 Changes in Knowledge Due to Reflection

12.3.4 Social Desirability Reduction

12.3.5 Empirical Evidence of Social Desirability Effects

12.3.6 Satisficing

12.3.7 Empirical Evidence of Satisficing

12.3.7.1 Misreporting to Filter Questions as a Conditioning Effect Due to Satisficing

12.3.7.2 Misreporting to More Complex Filter (Looping) Questions

12.3.7.3 Within‐Interview and Between‐Waves Conditioning in Filter Questions

12.4 Conclusion and Implications for Survey Practice

Chapter 13 Interviewer Effects in Panel Surveys

13.1 Introduction

13.2 Motivation and State of Research

13.2.1 Sources of Interviewer‐Related Measurement Error

13.2.1.1 Interviewer Deviations

13.2.1.2 Social Desirability

13.2.1.3 Priming

13.2.2 Moderating Factors of Interviewer Effects

13.2.3 Interviewer Effects in Panel Surveys

13.2.4 Identifying Interviewer Effects

13.2.4.1 Interviewer Variance

13.2.4.2 Interviewer Bias

13.2.4.3 Using Panel Data to Identify Interviewer Effects

13.3 Data

13.3.1 The Socio‐Economic Panel

13.3.2 Variables

13.4 The Size and Direction of Interviewer Effects in Panels.

13.4.1 Methods.

Notes:

Description based on print version record.

ISBN:

9781119376965

1119376963

9781119376958

1119376955

9781119376941

1119376947

OCLC:

1182021090