1. Early and Late Participation during the Field Period: Response Timing in a Mixed-Mode Probability-Based Panel Survey
- Author
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Bella Struminskaya and Tobias Gummer
- Subjects
Panel survey ,Sociology and Political Science ,Umfrageforschung ,Antwortverhalten ,01 natural sciences ,010104 statistics & probability ,0504 sociology ,survey research ,field period ,mixed-mode ,panel surveys ,participation ,reluctant respondents ,response timing ,survey ,response behavior ,0101 mathematics ,Social sciences, sociology, anthropology ,Erhebungstechniken und Analysetechniken der Sozialwissenschaften ,Teilnehmer ,Sozialwissenschaften, Soziologie ,Magnetic reluctance ,Field (Bourdieu) ,05 social sciences ,050401 social sciences methods ,Befragung ,Mixed mode ,Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods ,Respondent ,ddc:300 ,Panel ,Demographic economics ,Psychology ,Social Sciences (miscellaneous) ,Period (music) ,participant - Abstract
Reluctance of respondents to participate in surveys has long drawn the attention of survey researchers. Yet, little is known about what drives a respondent’s decision to answer the survey invitation early or late during the field period. Moreover, we still lack evidence on response timing in longitudinal surveys. That is, the questions on whether response timing is a rather stable respondent characteristic and what—if anything—affects change in response timing across different interviews remain open. We relied on data from a mixed-mode general population panel survey collected between 2014 and 2016 to study the stability of response timing across 18 panel waves and factors that influence the decision to participate early or late in the field period. Our results suggest that the factors which had effects on response timing are different in the mail and web modes. Moreover, we found that experience with prior panel waves affected the respondent’s decision to participate early or late. Overall, the present study advocates understanding response timing as a metric variable and, consequently, the need to reflect this in modeling strategies.
- Published
- 2023