Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case
Researchers have been looking for easily accessible and straightforwardly useable paradata and auxiliary data to improve survey data. Lately, there is also attention for the evaluation and validation of this external data, such as the assessment of the quality of interviewer-generated paradata. For...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
European Survey Research Association
2017-10-01
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| Series: | Survey Research Methods |
| Subjects: | |
| Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/6301 |
| _version_ | 1819061407634685952 |
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| author | Anina Vercruyssen Geert Loosveldt |
| author_facet | Anina Vercruyssen Geert Loosveldt |
| author_sort | Anina Vercruyssen |
| collection | DOAJ |
| description | Researchers have been looking for easily accessible and straightforwardly useable paradata and auxiliary data to improve survey data. Lately, there is also attention for the evaluation and validation of this external data, such as the assessment of the quality of interviewer-generated paradata. For these purposes, we investigated how useful Google Street View can be as auxiliary data and whether it allows us to assess the quality of interviewer observations on the houses and neighbourhoods of sample units. Additionally, we test whether Google Maps can inform us about the reachability of sample units and which data can predict non-response better. Although it is rather simple to use Google Maps and Street View in daily life, using it to code auxiliary data for surveys is more challenging than expected. Hence, this paper also offers a thorough discussion of the pitfalls of coding these auxiliary data as well as their current solutions. |
| first_indexed | 2024-12-21T14:42:24Z |
| format | Article |
| id | doaj.art-7a3ead40c380485a81f924d85cf2102d |
| institution | Directory Open Access Journal |
| issn | 1864-3361 |
| language | English |
| last_indexed | 2024-12-21T14:42:24Z |
| publishDate | 2017-10-01 |
| publisher | European Survey Research Association |
| record_format | Article |
| series | Survey Research Methods |
| spelling | doaj.art-7a3ead40c380485a81f924d85cf2102d2022-12-21T19:00:09ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612017-10-0111310.18148/srm/2017.v11i3.6301Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test CaseAnina Vercruyssen0Geert Loosveldt1KU LeuvenKU LeuvenResearchers have been looking for easily accessible and straightforwardly useable paradata and auxiliary data to improve survey data. Lately, there is also attention for the evaluation and validation of this external data, such as the assessment of the quality of interviewer-generated paradata. For these purposes, we investigated how useful Google Street View can be as auxiliary data and whether it allows us to assess the quality of interviewer observations on the houses and neighbourhoods of sample units. Additionally, we test whether Google Maps can inform us about the reachability of sample units and which data can predict non-response better. Although it is rather simple to use Google Maps and Street View in daily life, using it to code auxiliary data for surveys is more challenging than expected. Hence, this paper also offers a thorough discussion of the pitfalls of coding these auxiliary data as well as their current solutions.https://ojs.ub.uni-konstanz.de/srm/article/view/6301auxiliary dataparadatainterviewer observationssurvey non-responseGoogle Street ViewGoogle Maps |
| spellingShingle | Anina Vercruyssen Geert Loosveldt Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case Survey Research Methods auxiliary data paradata interviewer observations survey non-response Google Street View Google Maps |
| title | Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case |
| title_full | Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case |
| title_fullStr | Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case |
| title_full_unstemmed | Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case |
| title_short | Using Google Maps and Google Street View to Validate Interviewer Observations and Predict Non-response: A Test Case |
| title_sort | using google maps and google street view to validate interviewer observations and predict non response a test case |
| topic | auxiliary data paradata interviewer observations survey non-response Google Street View Google Maps |
| url | https://ojs.ub.uni-konstanz.de/srm/article/view/6301 |
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