Coverage Error in Data Collection Combining Mobile Surveys with Passive Measurement Using Apps: Data from a German National Survey
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| Title: | Coverage Error in Data Collection Combining Mobile Surveys with Passive Measurement Using Apps: Data from a German National Survey |
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| Language: | English |
| Authors: | Keusch, Florian (ORCID |
| Source: | Sociological Methods & Research. May 2023 52(2):841-878. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 38 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | National Surveys, Computer Software, Telecommunications, Handheld Devices, Ownership, Data Collection, Error of Measurement, Research Problems, Labor Market, Public Policy, Probability, Poverty, Correlation, Foreign Countries, Participant Characteristics, Age Differences, Gender Differences |
| Geographic Terms: | Germany |
| DOI: | 10.1177/0049124120914924 |
| ISSN: | 0049-1241 1552-8294 |
| Abstract: | Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data can be collected passively. These limitations cause concern about coverage error in studies targeting the general population. Based on data from the Panel Study Labour Market and Social Security (PASS), an annual probability-based mixed-mode survey on the labor market and poverty in Germany, we find that smartphone ownership and ownership of smartphones with specific OSs are correlated with a number of sociodemographic and substantive variables. The use of weighting techniques based on sociodemographic information available for both owners and nonowners reduces these differences but does not eliminate them. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1379992 |
| Database: | ERIC |
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| Abstract: | Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data can be collected passively. These limitations cause concern about coverage error in studies targeting the general population. Based on data from the Panel Study Labour Market and Social Security (PASS), an annual probability-based mixed-mode survey on the labor market and poverty in Germany, we find that smartphone ownership and ownership of smartphones with specific OSs are correlated with a number of sociodemographic and substantive variables. The use of weighting techniques based on sociodemographic information available for both owners and nonowners reduces these differences but does not eliminate them. |
|---|---|
| ISSN: | 0049-1241 1552-8294 |
| DOI: | 10.1177/0049124120914924 |
