TY  - GEN
A1  - Kohler, Ulrich
T1  - Editorial: Survey Research Methods during the COVID-19 Crisis
T2  - Survey Research Methods
KW  - COVID-19
KW  - Survey Research Methods
Y1  - 2020
U6  - https://doi.org/10.18148/srm/2020.v14i2.7769
SN  - 1864-3361
VL  - 14
IS  - 2
SP  - 93
EP  - 94
CY  - Konstanz
ER  - 
TY  - JOUR
A1  - Kohler, Ulrich
T1  - Survey Research Methods during the COVID-19 Crisis
JF  - Survey research methods
KW  - COVID-19
KW  - Survey Research Methods
Y1  - 2020
U6  - https://doi.org/10.18148/srm/2020.v14i2.7769
SN  - 1864-3361
VL  - 14
IS  - 2
SP  - 93
EP  - 94
PB  - European Survey Research Association
CY  - Konstanz
ER  - 
TY  - JOUR
A1  - Post, Julia C.
A1  - Class, Fabian
A1  - Kohler, Ulrich
T1  - Unit nonresponse biases in estimates of SARS-CoV-2 prevalence
JF  - Survey research methods
N2  - Since COVID-19 became a pandemic, many studies are being conducted to get a better understanding of the disease itself and its spread. One crucial indicator is the prevalence of SARS-CoV-2 infections. Since this measure is an important foundation for political decisions, its estimate must be reliable and unbiased. This paper presents reasons for biases in prevalence estimates due to unit nonresponse in typical studies. Since it is difficult to avoid bias in situations with mostly unknown nonresponse mechanisms, we propose the maximum amount of bias as one measure to assess the uncertainty due to nonresponse. An interactive web application is presented that calculates the limits of such a conservative unit nonresponse confidence interval (CUNCI).
KW  - COVID-19
KW  - prevalence
KW  - probability samples
KW  - unit nonresponse
KW  - conservative confidence limits
KW  - nonresponse bias
Y1  - 2020
U6  - https://doi.org/10.18148/srm/2020.v14i2.7755
SN  - 1864-3361
VL  - 14
IS  - 2
SP  - 115
EP  - 121
PB  - European Survey Research Association
CY  - Duisburg
ER  -