The Survey Data Harmonization Team led by Kazimierz M. Slomczynski, Irina Tomescu-Dubrow, and Craig Jenkins received a four-year, $1.4 million award from NSF for the project, “Survey Data Recycling: New Analytic Framework, Integrated Database and Tools for Cross-National Social, Behavioral and Economic Research” (SDR) starting September 1, 2017. The award will support the development of a harmonized database derived from more than 3,000 national surveys administered over five decades to more than 3.5 million respondents from more than 150 countries. The SDR enables innovative data-intensive research on major substantive topics of social science interest and advances the fields of comparative methodology and of survey-data harmonization.
Cross-national Studies: Interdisciplinary Research and Training program (CONSIRT.osu.edu) and the Mershon Center for International Security Studies at The Ohio State University organized a two-day event, “Democracy, the State and Protest: International Perspectives on Methods for the Study of Protest,” on May 11-12, 2017, in Columbus, Ohio. The conference and workshop brought together scholars representing different approaches to the studies of protest behavior and democracy. Invited speakers presented their work on issues related to various aspects of the relationship between protest and democracy, with an emphasis on measurement and methodology. The program of the event, as well as speakers’ bios are available here.
The SDR Master Box, including the harmonized survey data file, is now available for download via Dataverse. The SDR Master Box consists of five data files and corresponding documentation: (1) the master file (MASTER) with individual-level data from cross-national surveys, (2) country-level file (PLUG-COUNTRY), (3) country-year-level file (PLUG-COUNTRY-YEAR), (4) survey-level file (PLUG-SURVEY), and (5) wave-level file (PLUG-WAVE). The MASTER file is the core of the Master Box and contains harmonized target variables, harmonization control variables, as well as flags for non-unique records, non-unique case IDs, and missing case IDs, while the other PLUG files contain contextual data, metadata, and data quality indicators.