Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach.
This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world's nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data...
| Publicado en: | American Behavioral Scientist Vol. 66; no. 4; pp. 412 - 434 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Apr2022
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=155957718&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 155957718 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00027642 ABS jtl: American Behavioral Scientist issn: 00027642 maglogo: Y pubinfo: dt: Apr2022 vid: 66 iid: 4 pid: 344 pub: Sage Publications Inc. artinfo: ui: 155957718 10.1177/00027642211021623 ppf: 412 ppct: 22 formats: tig: atl: Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach. aug: au: Slomczynski, Kazimierz M. Tomescu-Dubrow, Irina Wysmulek, Ilona affil: Polish Academy of Sciences, Institute of Philosophy and Sociology, Warsaw, Mazowieckie, Poland Department of Sociology, The Ohio State University, Columbus, OH, USA su: Electronic data processing Data quality Computer files Standard deviations Null hypothesis sug: subj: Electronic data processing Data Processing, Hosting, and Related Services Data quality Computer files Standard deviations Null hypothesis keyword: data harmonization demonstrations political protest signing petitions survey data quality data harmonization demonstrations political protest signing petitions survey data quality ab: This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world's nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|