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Barbara Felderer
Tytuł
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Are incentive effects on response rates and nonresponse bias in large-scale, face-to-face surveys generalizable to Germany? Evidence from ten experiments
K Pforr, M Blohm, AG Blom, B Erdel, B Felderer, M Fräßdorf, K Hajek, ...
Public Opinion Quarterly 79 (3), 740-768, 2015
1162015
The effect of survey mode on data quality: Disentangling nonresponse and measurement error bias
B Felderer, A Kirchner, F Kreuter
Journal of Official Statistics 35 (1), 93-115, 2019
382019
Recruiting a probability-based online panel via postal mail: experimental evidence
C Cornesse, B Felderer, M Fikel, U Krieger, AG Blom
Social Science Computer Review 40 (5), 1259-1284, 2022
302022
The effect of differential incentives on attrition bias: evidence from the PASS wave 3 incentive experiment
B Felderer, G Müller, F Kreuter, J Winter
Field Methods 30 (1), 56-69, 2018
242018
Respondent commitment: applying techniques from face-to-face interviewing to online collection of employment data
KC Hibben, B Felderer, FG Conrad
International Journal of Social Research Methodology 25 (1), 15-27, 2022
182022
Paradaten
B Felderer, A Birg, F Kreuter
Handbuch Methoden der empirischen Sozialforschung, 1455-1464, 2022
142022
SFB 884 Political economy of reforms, Universität Mannheim.(2018)
AG Blom, B Felderer, JK Höhne, U Krieger, T Rettig
German Internet Panel, Wave 32, 0
13
Acceptance of the Automated Online Collection of Geographical Information
B Felderer, AG Blom
Sociological Methods & Research, 2019
102019
The early bird catches the worm! Setting a deadline for online panel recruitment incentives
S Friedel, B Felderer, U Krieger, C Cornesse, AG Blom
Social Science Computer Review 41 (2), 370-389, 2023
92023
Using double machine learning to Understand Nonresponse in the recruitment of a mixed-Mode Online Panel
B Felderer, J Kueck, M Spindler
Social Science Computer Review 41 (2), 461-481, 2023
62023
Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Non-Probability Surveys with Populations Benchmarks
B Rohr, H Silber, B Felderer
OSF, 2023
62023
Applying multilevel regression weighting when only population margins are available
C Bruch, B Felderer
Communications in Statistics-Simulation and Computation 52 (11), 5401-5422, 2023
42023
German Internet Panel, Wave 29 (May 2017)
AG Blom, B Felderer, F Gebhard, J Herzing, U Krieger
Mannheim: GESIS, 2018
42018
Paradaten
B Felderer, A Birg, F Kreuter
Handbuch Methoden der empirischen Sozialforschung, 413-422, 2019
32019
The effect of nonresponse and measurement error on wage regression across survey modes: a validation study
A Kirchner, B Felderer
Total survey error in practice, 531-556, 2017
32017
Asking for traces: A vignette study on acceptability norms and personal willingness to donate digital trace data
H Silber, J Breuer, B Felderer, F Gerdon, P Stammann, J Daikeler, ...
Social Science Computer Review, 08944393241305776, 2024
22024
Sample Size Calculation For Complex Sampling Designs
B Felderer, M Sand, C Bruch
Diakses dari https://www. gesis. org/fileadmin/admin/Dateikatalog/pdf …, 2022
22022
Prior Choice for the Variance Parameter in the Multilevel Regression and Poststratification Approach for Highly Selective Data: A Monte Carlo Simulation Study
C Bruch, B Felderer
Austrian Journal of Statistics 51 (4), 76-95, 2022
22022
The Influence of Respondent Incentives on Item Nonresponse in aWeb Survey
B Felderer, F Kreuter, J Winter
International Household Survey Nonresponse Workshop, Ottawa, Canada, 2012
22012
Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Population Benchmarks
B Rohr, H Silber, B Felderer
Sociological Methodology 55 (1), 121-154, 2025
12025
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