Beschreibung
While probability-based sampling is generally preferred in academic research, the use of data from non-probability online panels has become increasingly common. However, the implications of relying on such samples remain insufficiently understood. In this study, we compare data from two online surveys—the probability-based Digitize! Online Panel Survey and the non-probability AUTNES Online Panel Survey—both conducted in Austria following the 2024 parliamentary election. The analysis focuses on evaluating the accuracy of each sample with respect to external benchmarks, such as sociodemographic characteristics and election outcomes. Additionally, we assess response quality indicators, including satisficing, inattentiveness, attitude consistency, acquiescence bias, and non-response rates. Survey professionalism metrics—such as response time, frequency of survey participation, types of devices used, and digital literacy—are also examined. Our findings contribute to ongoing debates about sampling methods and their impact on the data quality of online surveys.| Zeitraum | 8 Apr. 2025 |
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| Ereignistitel | Hertie School Data Science Lab: Data Science Brownbag Seminar |
| Veranstaltungstyp | Vortragsreihe, Kolloquium |
| Ort | Berlin, Deutschland, BerlinAuf Karte anzeigen |
| Bekanntheitsgrad | International |