Die Erforschung der Dynamik der Corona-Pandemie in Deutschland: Survey-Konzepte und eine exemplarische Umsetzung mit dem Sozio-oekonomischen Panel (SOEP)

ZusammenfassungDie Weltgesundheitsorganisation (WHO) hat im Frühjahr 2020 Richtlinien für Bevölkerungsstichproben veröffentlicht, die Basisdaten für gesundheitspolitische Entscheidungen im Pandemiefall liefern können. Diese Richtlinien umzusetzen ist keineswegs trivial. In diesem Beitrag schildern wir die Herausforderungen einer entsprechenden statistischen Erfassung der Corona Pandemie. Hierbei gehen wir im ersten Teil auf die Erfassung der Dunkelziffer bei der Meldung von Corona Infektionen, die Messung von Krankheitsverläufen im außerklinischen Bereich, die Messung von Risikomerkmalen sowie die Erfassung von zeitlichen und regionalen Veränderungen der Pandemie-Intensität ein. Wir diskutieren verschiedene Möglichkeiten, aber auch praktische Grenzen der Survey-Statistik, den vielfältigen Herausforderungen durch eine geeignete Anlage der Stichprobe und des Survey-Designs zu begegnen. Ein zentraler Punkt ist die schwierige Koppelung medizinischer Tests mit bevölkerungsrepräsentativen Umfragen, wobei bei einer personalisierten Rückmeldung der Testergebnisse das Statistik-Geheimnis eine besondere Herausforderung darstellt.Im zweiten Teil berichten wir wie eine der großen Wiederholungsbefragungen in Deutschland, das Sozio-oekonomische Panel (SOEP), für eine WHO-konforme Covid-19-Erhebung genutzt wird, die im Rahmen einer Kooperation des Robert-Koch-Instituts (RKI) mit dem SOEP als „RKI-SOEP Stichprobe“ im September 2020 gestartet wurde. Erste Ergebnisse zum Rücklauf dieser Studie, die ab Oktober 2021 mit einer zweiten Erhebungswelle bei denselben Personen fortgesetzt werden wird, werden vorgestellt. Es zeigt sich, dass knapp fünf Prozent der bereits in der Vergangenheit erfolgreich Befragten aufgrund der Anfrage zwei Tests zu machen die weitere Teilnahme an der SOEP-Studie verweigern. Berücksichtigt man alle in der Studie erhobenen Informationen (IgG-Antikörper-Tests, PCR-Tests und Fragebögen) ergibt eine erste Schätzung, dass sich bis November 2020 nur etwa zwei Prozent der in Privathaushalten lebenden Erwachsenen in Deutschland mit SARS-CoV‑2 infiziert hatten. Damit war die Zahl der Infektionen etwa doppelt so hoch wie die offiziell gemeldeten Infektionszahlen.

A content analysis of hospitality research's research methods in the 2010s

PurposeThis study aims to describe the development of hospitality research in terms of research methods and data sources used in the 2010s.Design/methodology/approachContent analyses of the research methods and data sources used in original hospitality research published in the 2010s in the Cornell Hospitality Quarterly (CQ), International Journal of Hospitality Management (IJHM), International Journal of Contemporary Hospitality Management (IJCHM), Journal of Hospitality and Tourism Research (JHTR) and International Hospitality Review (IHR) were conducted. It describes whether the time span, functional areas and geographic regions of data sources were related to the research methods and data sources.FindingsResults from 2,759 original hospitality empirical articles showed that marketing research used various research methods and data sources. Most finance articles used archival data, while most human resources articles used survey designs with organizational data. In addition, only a small amount of research used data from Oceania, Africa and Latin America.Research limitations/implicationsThis study sheds some light on the development of hospitality research in terms of research method and data source usage. However, it only focused on five English-based journals from 2010–2019. Therefore, future studies may seek to understand the impact of the COVID-19 pandemic on research methods and data source usage in hospitality research.Originality/valueThis is the first study to examine five hospitality journals' research methods and data sources used in the last decade. It sheds light on the development of hospitality research in the previous decade and identifies new hospitality research avenues.

What Happened to the Immigrant Life Satisfaction Gap?

Numerous studies have found that immigrants to Canada are less satisfied with life than comparable Canadian-born individuals. Yet recent data from the Canadian Community Health Survey (CCHS) suggest that this immigrant satisfaction gap may be disappearing. This article traces the evolution of the immigrant–Canadian born life satisfaction gap from 2009 to 2018 and explores two competing explanations for the declining gap: improved immigrant outcomes and changes to the CCHS design introduced in 2015–2016. The article finds little evidence for the improved outcomes explanation. Indeed, the immigrant satisfaction gap is somewhat illusory—the more substantial gap is between the life satisfaction of White individuals and that of members of certain racialized groups, regardless of immigration status. The 2015–2016 CCHS redesign, however, may be a plausible explanation for the increase in reported life satisfaction. This article provides more evidence that researchers using life satisfaction measures need to be cautious when survey designs change.

Nonlinear effect of social interaction quantity on psychological well-being: Diminishing Returns or Inverted U?

Social contact is an important ingredient of a happy and satisfying life. But is more social contact necessarily better? While it is well-established that increasing the quantity of social interactions on the low end of its spectrum promotes psychological well-being, the effect of interaction quantity on the high end remains largely unexplored. We propose that the effect of interaction quantity is nonlinear; specifically, at high levels of interaction quantity, its positive effects may be reduced (Diminishing Returns Hypothesis) or even reversed (Inverted U Hypothesis). To test these two competing hypotheses, we conducted a series of six studies involving a total of 161,836 participants using experimental (Study 1), cross-sectional (Studies 2 & 3), daily diary (Study 4), experience sampling (Study 5), and longitudinal survey designs (Study 6). Consistent evidence emerged across the studies supporting the Diminishing Returns Hypothesis. On the low end of the interaction quantity spectrum, increasing interaction quantity enhanced well-being as expected; whereas on the high end of the spectrum, the effect of interaction quantity was reduced or became nearly negligible, but did not turn negative. Taken together, the present research provides compelling evidence that the well-being benefits of social interactions are nearly negligible after moderate quantities of interactions are achieved.

Broadcast Media Entertainment and Attitude Cultivation: A Study of Obscene Programme Viewership by College Students

This study examined broadcast media entertainment and attitude cultivation, a study of behavioural patterns of College Students. It is a survey designs study that investigated undergraduate communication students of The Polytechnic, Ibadan, Oyo State and Moshood Abiola Polytechnics, Ogun State. Systematic random sampling was adopted to select a sample size of three hundred (300) communication students of the two institutions as respondents for this study. Programmes such as films, soap operas and musicals, etcetera were units considered. The theoretical framework is premised on the cultivation theory and gratification theory. Its analysis was hinged on the simple percentage statistical calculation. The study outcome showed that youth crave satisfaction in the entertainment programmes they watch and that entertainment programmes like musical videos, foreign and local drama do portray obscenity which brings about delinquent behaviour in the younger generation. It was recommended that producers and directors of entertainment products should be conscious of young people who form the chunk of their audience to eliminate obscenity in programme production, while parents should control the level of media exposure of their wards