Automatic entry and coding of social networks and dyadic peer ratings

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 f...

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Main Authors: Cody T Ross, Daniel Redhead
Format: Article
Language:English
Published: SAGE Publishing 2023-07-01
Series:Methodological Innovations
Online Access:https://doi.org/10.1177/20597991231160281
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author Cody T Ross
Daniel Redhead
author_facet Cody T Ross
Daniel Redhead
author_sort Cody T Ross
collection DOAJ
description 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.
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spelling doaj.art-4568eeb23484495cbfd9d8d155214a4f2023-07-28T15:33:26ZengSAGE PublishingMethodological Innovations2059-79912023-07-011610.1177/20597991231160281Automatic entry and coding of social networks and dyadic peer ratingsCody T RossDaniel RedheadIn 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.https://doi.org/10.1177/20597991231160281
spellingShingle Cody T Ross
Daniel Redhead
Automatic entry and coding of social networks and dyadic peer ratings
Methodological Innovations
title Automatic entry and coding of social networks and dyadic peer ratings
title_full Automatic entry and coding of social networks and dyadic peer ratings
title_fullStr Automatic entry and coding of social networks and dyadic peer ratings
title_full_unstemmed Automatic entry and coding of social networks and dyadic peer ratings
title_short Automatic entry and coding of social networks and dyadic peer ratings
title_sort automatic entry and coding of social networks and dyadic peer ratings
url https://doi.org/10.1177/20597991231160281
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