Bella Struminskaya
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A review of conceptual approaches and empirical evidence on probability and nonprobability sample survey research
C Cornesse, AG Blom, D Dutwin, JA Krosnick, ED De Leeuw, S Legleye, ...
Journal of Survey Statistics and Methodology 8 (1), 4-36, 2020
Establishing an open probability-based mixed-mode panel of the general population in Germany: The GESIS panel
M Bosnjak, T Dannwolf, T Enderle, I Schaurer, B Struminskaya, A Tanner, ...
Social Science Computer Review 36 (1), 103-115, 2018
Willingness to participate in passive mobile data collection
F Keusch, B Struminskaya, C Antoun, MP Couper, F Kreuter
Public opinion quarterly 83 (S1), 210-235, 2019
The effects of questionnaire completion using mobile devices on data quality. Evidence from a probability-based general population panel
B Struminskaya, K Weyandt, M Bosnjak
Methods, data, analyses 9 (2), 32, 2015
Development of an international survey attitude scale: Measurement equivalence, reliability, and predictive validity
E de Leeuw, J Hox, H Silber, B Struminskaya, C Vis
Measurement Instruments for the Social Sciences 1 (1), 1-10, 2019
Respondent conditioning in online panel surveys: Results of two field experiments
B Struminskaya
Social Science Computer Review 34 (1), 95-115, 2016
Understanding willingness to share smartphone-sensor data
B Struminskaya, V Toepoel, P Lugtig, M Haan, A Luiten, B Schouten
Public Opinion Quarterly 84 (3), 725-759, 2020
Assessing representativeness of a probability‐based online panel in Germany
B Struminskaya, L Kaczmirek, I Schaurer, W Bandilla
Online Panel Research: Data Quality Perspective, A, 61-85, 2014
Augmenting surveys with data from sensors and apps: Opportunities and challenges
B Struminskaya, P Lugtig, F Keusch, JK Höhne
Social Science Computer Review, 0894439320979951, 2020
Does panel conditioning affect data quality in ego-centered social network questions?
H Silber, J Schröder, B Struminskaya, V Stocké, M Bosnjak
Social Networks 56, 45-54, 2019
Combining Active and Passive Mobile Data Collection: A Survey of Concerns
F Keusch, B Struminskaya, F Kreuter, M Weichbold
Big Data Meets Survey Science: A Collection of Innovative Methods, 2020
Identifying non-working numbers in cell phone RDD samples via HLR-Lookup technology
B Struminskaya, L Kaczmirek, I Schaurer, W Bandilla, S Gabler, S Haeder
Survey Practice 4 (4), 1-6, 2011
Sharing data collected with smartphone sensors: willingness, participation, and nonparticipation bias
B Struminskaya, P Lugtig, V Toepoel, B Schouten, D Giesen, R Dolmans
Public Opinion Quarterly 85 (S1), 423-462, 2021
Data quality in probability-based online panels: Nonresponse, attrition, and panel conditioning
B Struminskaya
Utrecht University, 2014
Mobile Befragungen
B Weiß, H Silber, B Struminskaya, G Durrant
Handbuch Methoden der empirischen Sozialforschung, 1067-1080, 2022
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
Panel conditioning: Types, causes, and empirical evidence of what we know so far
B Struminskaya, M Bosnjak
Advances in Longitudinal survey methodology, 272-301, 2021
Panel Conditioning
B Struminskaya
SAGE Research Methods Foundations, 2020
Selbständigkeit von Personen mit Migrationshintergrund in Deutschland: Ursachen ethnischer Unternehmung
B Struminskaya
SOEPpapers on Multidisciplinary Panel Data Research, 2011
Early and late participation during the field period: Response timing in a mixed-mode probability-based panel survey
T Gummer, B Struminskaya
Sociological Methods & Research, 0049124120914921, 2020
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