Search for: All records

Public opinion surveys constitute a widespread, powerful tool to study peoples’ attitudes and behaviors from comparative perspectives. However, even global surveys can have limited geographic and temporal coverage, which can hinder the production of comprehensive knowledge. To expand the scope of comparison, social scientists turn to ex-post harmonization of variables from datasets that cover similar topics but in different populations and/or at different times. These harmonized datasets can be analyzed as a single source and accessed through various data portals. However, the Survey Data Recycling (SDR) research project has identified three challenges faced by social scientists when using data portals: the lack of capability to explore data in-depth or query data based on customized needs, the difficulty in efficiently identifying related data for studies, and the incapability to evaluate theoretical models using sliced data. To address these issues, the SDR research project has developed the SDR Querier, which is applied to the harmonized SDR database. The SDR Querier includes a BERT-based model that allows for customized data queries through research questions or keywords (Query-by-Question), a visual design that helps users determine the availability of harmonized data for a given research question (Query-by-Condition), and the ability to reveal the underlying relational patterns among substantive and methodological variables in the database (Query-by-Relation), aiding in the rigorous evaluation or improvement of regression models. Case studies with multiple social scientists have demonstrated the usefulness and effectiveness of the SDR Querier in addressing daily challenges. 

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. 

The SDR Database v.2.0 (SDR2) is a multi-country, multi-year database for research on political participation, social capital, and well-being. It comprises harmonized information from 23 international survey projects, covering over 4.4 million respondents from 156 countries in the period 1966 – 2017. SDR2 provides both target variables and methodological indicators that store source survey and ex-post harmonization metadata. SDR2 consists of three datasets. The MASTER file, which stores harmonized information for a total of 4,402,489 respondents. The auxiliary PLUG-SURVEY file containing controls for source data quality and a set of technical variables needed for merging this file with the MASTER file. And the PLUG-COUNTRY file, which is a dictionary of countries and territories used in the MASTER file. An overall description of the SDR2 Database, and detailed information about its datasets are available in the SDR2 documentation. SDR2 is a product of the project Survey Data Recycling: New Analytic Framework, Integrated Database, and Tools for Cross-national Social, Behavioral and Economic Research, financed by the US National Science Foundation (PTE Federal award 1738502). We thank the Ohio State University and the Institute of Philosophy and Sociology, Polish Academy of Sciences, for organizational support. 

In recent decades, many countries ranging from quasidemocratic regimes to well-established democracies have faced democratic backsliding. In this study, we draw on Foa and Mounk and other related literature to examine the effects of regime delegitimation on democratic backsliding, focusing on youth’s trust in political institutions—parliament, legal systems, and political parties—relative to trust of the older population. We use an unbalanced panel data set that combines a country-year indicator of liberal democracy from the Varieties of Democracy project with aggregate survey-based measures of absolute and relative institutional trust from the Survey Data Recycling database; the data set covers 46 countries from 2009 to 2017. We find that the ratio of youth’s institutional trust to that of older persons has a substantive effect on the quality of liberal democracy in the future, and that the effect is amplified by the relative size of the youth population.