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Start Over Author "Ruben Bach" Topic measurement error
2 results on '"Ruben Bach"'

1. The Relationship Between Response Probabilities and Data Quality in Grid Questions

Author

Tobias Gummer, Ruben Bach, Jessica Daikeler, and Stephanie Eckman

Subjects
response propensity, measurement error, data quality, panel survey, adaptive survey design, Social sciences (General), H1-99
Abstract

Response probabilities are used in adaptive and responsive survey designs to guide data collection efforts, often with the goal of diversifying the sample composition. However, if response probabilities are also correlated with measurement error, this approach could introduce bias into survey data. This study analyzes the relationship between response probabilities and data quality in grid questions. Drawing on data from the probability-based GESIS panel, we found low propensity cases to more frequently produce item nonresponse and nondifferentiated answers than high propensity cases. However, this effect was observed only among long-time respondents, not among those who joined more recently. We caution that using adaptive or responsive techniques may increase measurement error while reducing the risk of nonresponse bias.

Published
2021
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2. Reactivity in measuring sensitive online behavior

Author

Florian Keusch, Ruben Bach, and Alexandru Cernat

Subjects
Economics and Econometrics, Sociology and Political Science, digital trace data, social desirability, Communication, measurement error, online panels
Abstract

PurposeDigital trace data provide new opportunities to study how individuals act and interact with others online. One advantage of this type of data is that it measures behavior in a less obtrusive way than surveys, potentially reducing measurement error. However, it is well documented that in observational studies, participants' awareness of being observed can change their behavior, especially when the behavior is considered sensitive. Very little is known regarding this effect in the online realm. Against this background, we studied whether people change their online behavior because digital trace data are being collected.Design/methodology/approachWe analyzed data from a sample of 1,959 members of a German online panel who had consented to the collection of digital trace data about their online browsing and/or mobile app usage. To identify reactivity, we studied change over time in five types of sensitive online behavior.FindingsWe found that the frequency and duration with which individuals engage in sensitive behaviors online gradually increases during the first couple of days after the installation of a tracker, mainly individuals who extensively engage in sensitive behavior show this pattern of increase after installation and this change in behavior is limited to certain types of sensitive online behavior.Originality/valueThere is an increased interest in the use of digital trace data in the social sciences and our study is one of the first methodological contributions measuring reactivity in digital trace data measurement.

Published
2022

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