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Advances in longitudinal survey methodology / / edited by Peter Lynn



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Titolo: Advances in longitudinal survey methodology / / edited by Peter Lynn Visualizza cluster
Pubblicazione: Hoboken, New Jersey : , : Wiley, , [2021]
©2021
Descrizione fisica: 1 online resource (xxvii, 516 pages) : illustrations
Disciplina: 001.433
Soggetto topico: Longitudinal method
Soggetto genere / forma: Electronic books.
Persona (resp. second.): LynnPeter <1966->
Nota di contenuto: 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 -- References -- 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 -- References -- 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 -- Acknowledgements -- References -- 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 -- References -- 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 -- Acknowledgements -- References -- 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 -- References -- 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 -- References -- 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 -- References -- 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 -- References -- 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 -- Acknowledgements -- References -- 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 -- References -- 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.
Titolo autorizzato: Advances in longitudinal survey methodology  Visualizza cluster
ISBN: 1-119-37695-5
1-119-37694-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910555113403321
Lo trovi qui: Univ. Federico II
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Serie: Wiley series in probability and statistics.