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 | 316 | 2020 |
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 | 34 | 2022 |
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 | 15 | 2020 |
Misreporting among reluctant respondents RL Bach, S Eckman, J Daikeler Journal of Survey Statistics and Methodology 8 (3), 566-588, 2020 | 15 | 2020 |
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 | 14 | 2021 |
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 | 9 | 2020 |
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 | 8 | 2020 |
Motivated misreporting in smartphone surveys J Daikeler, RL Bach, H Silber, S Eckman Social Science Computer Review 40 (1), 95-107, 2022 | 7 | 2022 |
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 | 7 | 2019 |
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 | 6 | 2019 |
Web survey H Silber, J Daikeler, L Weidner, M Bosnjak Wiley StatsRef: Statistics Reference Online, 1-6, 2014 | 4 | 2014 |
Mixed-Device and Mobile Web Surveys C Beuthner, J Daikeler, H Silber GESIS Survey Guidelines, 2019 | 3 | 2019 |
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 | 3 | 2018 |
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 | 2 | 2021 |
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 | 2 | 2020 |
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 | 1 | 2024 |
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 | 1 | 2024 |
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 | 1 | 2021 |
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, ... Social Science Computer Review, 08944393241245395, 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 |