Anne-Sophie Oehrlein

ORCID: 0000-0003-2617-7296
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About
Contact & Profiles
Research Areas
  • Survey Methodology and Nonresponse
  • Data-Driven Disease Surveillance
  • Focus Groups and Qualitative Methods
  • Behavioral Health and Interventions
  • COVID-19 and Mental Health
  • Health disparities and outcomes
  • Smoking Behavior and Cessation
  • Psychological Well-being and Life Satisfaction

GESIS - Leibniz-Institute for the Social Sciences
2022-2024

Abstract During the COVID-19 pandemic, many survey programs switched to self-administered modes of data collection, often offering respondents both web-based and paper-based questionnaires. However, there is little guidance as when offer which mode, especially aim recruit participants for a panel survey. This study examines effectiveness different mode-sequence designs by analyzing an experiment implemented in recruitment wave German “Family Research Demographic Analysis.” We randomly...

10.1093/jssam/smae008 article EN cc-by Journal of Survey Statistics and Methodology 2024-03-09

Abstract This study examines the consequences of pandemic on subjective well-being. First, we investigate to what extent regional and temporal differences in COVID-19 restrictions can explain individuals’ life satisfaction Germany. Second, examine “subjective” evaluations are related satisfaction. Third, whether these relationships vary with gender, parenthood, partnership status, or changed regarding specific sub-populations (i.e., mothers, fathers, childless women/ men). Merging...

10.1007/s11482-023-10249-x article EN cc-by Applied Research in Quality of Life 2023-11-13

As response rates continue to decline, the need learn more about survey participation process remains an important task for researchers. Search engine data may be one possible source learning what information some potential respondents are looking up a when they making decision. In present study, we explored of search and how it can inform design decisions. We drew on freely available Google Trends (GT) use with respect our case study: in Family Research Demographic Analysis (FReDA) panel...

10.1177/08944393221129179 article EN cc-by-nc Social Science Computer Review 2022-09-20

Google Trends (GT) data are increasingly used in the social sciences and adjacent fields. However, previous research on quality of GT has raised concerns regarding their reliability. In present study, we investigated whether reliability differs between low- high-frequency search terms. other words, explored existence a reliability-frequency continuum data. Our study adds to by investigating more comprehensive set terms different aspects (e.g., differences relative volume distributions,...

10.1177/08944393241279421 article EN cc-by Social Science Computer Review 2024-10-12
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