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Jessica Daikeler
Jessica Daikeler
GESIS - Leibnitz Institute for the Socialc Sciences
Preverjeni e-poštni naslov na gesis.org - Domača stran
Naslov
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Leto
Web versus other survey modes: an updated and extended meta-analysis comparing response rates
J Daikeler, M Bošnjak, K Lozar Manfreda
Journal of Survey Statistics and Methodology 8 (3), 513-539, 2020
2992020
A meta-analysis of how country-level factors affect web survey response rates
J Daikeler, H Silber, M Bošnjak
International Journal of Market Research 64 (3), 306-333, 2022
322022
A note on how prior survey experience with self-administered panel surveys affects attrition in different modes
T Gummer, J Daikeler
Social Science Computer Review 38 (4), 490-498, 2020
152020
Misreporting among reluctant respondents
RL Bach, S Eckman, J Daikeler
Journal of Survey Statistics and Methodology 8 (3), 566-588, 2020
152020
The cultural identity of first-generation immigrant children and youth: Insights from a meta-analysis
DB Maehler, J Daikeler, H Ramos, C Husson, TA Nguyen
Self and Identity 20 (6), 715-740, 2021
142021
How to conduct effective interviewer training: A meta-analysis and systematic review
J Daikeler, M Bosnjak
Interviewer effects from a total survey error perspective, 47-60, 2020
92020
What’s my wage again? Comparing survey and administrative data to validate earning measures
B Gauly, J Daikeler, T Gummer, B Rammstedt
International Journal of Social Research Methodology 23 (2), 215-228, 2020
82020
Motivated misreporting in smartphone surveys
J Daikeler, RL Bach, H Silber, S Eckman
Social Science Computer Review 40 (1), 95-107, 2022
72022
Adaptation of the AAPOR final disposition codes for the German survey context
S Stadtmüller, H Silber, J Daikeler, S Martin, M Sand, P Schmich, A Zabal
Mannheim, GESIS–Leibniz-Institute for the Social Sciences (GESIS–Survey …, 2019
72019
Adaptation of the AAPOR Final Disposition Codes for the German Survey Context (Version 1.0)
S Stadtmüller, H Silber, J Daikeler, S Martin, M Sand, P Schmich, ...
DEU, 2019
62019
Web survey
H Silber, J Daikeler, L Weidner, M Bosnjak
Wiley StatsRef: Statistics Reference Online, 1-6, 2014
42014
Mixed-Device and Mobile Web Surveys
C Beuthner, J Daikeler, H Silber
GESIS Survey Guidelines, 2019
32019
What’s your Wage? Comparing Survey and Administrative Data to Validate Earning Information
B Gauly, J Daikeler, T Gummer, B Rammstedt
Perspectives on (Un-) Employment, Nuremberg, 2018
32018
The relationship between response probabilities and data quality in grid questions
T Gummer, RL Bach, J Daikeler, S Eckman
Survey Research Methods 15 (1), 65-77, 2021
22021
Interviewer training guidelines of multinational survey programs: a total survey error perspective
D Ackermann-Piek, H Silber, J Daikeler, S Martin, B Edwards
methods, data, analyses 14 (1), 26, 2020
22020
Equipping the offline population with internet access in an online panel: Does it make a difference?
RL Bach, C Cornesse, J Daikeler
Journal of Survey Statistics and Methodology 12 (1), 80-93, 2024
12024
How German health workers’ views on vaccine safety can be swayed by the AstraZeneca controversy
J Priebe, H Silber, C Beuthner, S Pötzschke, B Weiß, J Daikeler
LSE Covid 19 Blog, 2021
12021
Interviewer-Observed Paradata in Mixed-Mode and Innovative Data Collection
T Kunz, J Daikeler, D Ackermann-Piek
International Journal of Market Research 66 (1), 14-26, 2024
2024
Assessing Data Quality in the Age of Digital Social Research: A Systematic Review
J Daikeler, L Fröhling, I Sen, L Birkenmaier, T Gummer, J Schwalbach, ...
OSF, 2023
2023
A guideline on how to recruit respondents for online surveys using Facebook and Instagram: Using hard-to-reach health workers as an example (Version 1.0)
S Pötzschke, B Weiß, J Daikeler, H Silber, C Beuthner
DEU, 2023
2023
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