Data News, GESIS - Data Archive
GESIS - Data Archive - Data News
27 Sep 2022 14:33 Top News
SowiDataNet|datorium: 'Replication Code: Gummer & Oehrlein (2022): "Using Google Trends Data to Learn More About Survey Participation." Social Science Computer Review' available
Syntax files from the study 'Replication Code: Gummer & Oehrlein (2022): "Using Google Trends Data to Learn More About Survey Participation." Social Science Computer Review' are now available with DOI 10.7802/2453 at GESIS - Leibniz Institute for the Social Sciences.
Primary researcher of this study are:
Gummer, Tobias; GESIS - Leibniz-Institut für Sozialwissenschaften
Oehrlein, Anne-Sophie; GESIS - Leibniz-Institut für Sozialwissenschaften
Availability: Free access (with registration)
More information is available at SowiDataNet|datorium: 10.7802/2453
Primary researcher of this study are:
Gummer, Tobias; GESIS - Leibniz-Institut für Sozialwissenschaften
Oehrlein, Anne-Sophie; GESIS - Leibniz-Institut für Sozialwissenschaften
Availability: Free access (with registration)
More information is available at SowiDataNet|datorium: 10.7802/2453