Automatic entry and coding of social networks and dyadic peer ratings
| Autor: | Cody T Ross, Daniel Redhead |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Methodological Innovations, Vol 16 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2059-7991 20597991 |
| DOI: | 10.1177/20597991231160281 |
| Popis: | In small-scale communities, social-scientists can use photo-rosters to collect social network and dyadic peer-ratings data. In past work, we introduced an R package to automate photo-standardization, survey construction, and data-entry. This R package, however, lacked two key features required for fully-unsupervised data-entry. First, respondent IDs needed to be manually linked to cellphone photographs of the photo-roster before DieTryin could process the data; second, users needed to identify the locations of the photo-roster in each cellphone photograph using a point-and-click interface. To address the first shortcoming, we introduce a new Android application, DieTryinCam , which facilitates annotation of cell-phone photographs with respondent, question, and panel IDs. To address the second shortcoming, we add new functionality to the DieTryin R package, which allows for the precise location of the photograph roster to be automatically identified. Automated data entry in DieTryin now requires no user input beyond a single function call from R. |
| Databáze: | Directory of Open Access Journals |
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