We are organizing the 12th edition of the OSU Summer School in the Social Sciences “Central and Eastern Europe in Comparative Perspective: Assessing Social and Political Change” in Poland, June to July of 2019.
Summer School Students will earn 12 semester credit hours for: SOC 3549: Statistics in Sociology (3 credit hours), (b) its application to substantive problems pertaining to social and political change in Central and Eastern Europe, subsumed by the SOC 4699: Undergraduate Research in Sociology (6 credit hours), and (c) SOC 5503 Social Change in Central and Eastern Europe (3 credit hours).
The Summer School organizers work closely with students in helping students apply for OSU and extra-OSU funding for covering costs the Program incurs. In each of the last five years, many of our OSU students enrolled in the Warsaw Summer School received funding from OSU and/or other sources. For questions about the OSU Study Abroad in Warsaw, please contact Dr. Irina Tomescu-Dubrow (email@example.com). Please see the OSU OIA website for more information, and the Summer School website for information on previous editions.
In March 2019, CONSIRT is co-organizing, with colleagues from the University of Michigan, the annual Comparative Survey Design and Implementation (CSDI) International Workshop (March 18–20, Warsaw, Poland). This conference, to be held at IFiS PAN, provides researchers from academia and non-academic organizations the opportunity to exchange best practices in comparative survey methods.
In summer 2019, CONSIRT administration and affiliates are organizing two sessions at the 8th conference of the European Survey Research Association (July 15–19, 2019, Zagreb, Croatia). One session is Survey Data Harmonization: Potentials and Challenges. Survey data harmonization – its theory and methodology – is growing into a new scientific field that pushes forward the methods of survey data analysis while emphasizing the continuous relevance of surveys for understanding society. Depending on whether researchers intend to design a study to collect comparable data, or use existing data not designed a priori as comparative, the literature distinguishes between input and ex-ante output harmonization, and ex-post harmonization. In both its forms, ex-ante and ex-post, harmonization is a complex, labor-intensive and multistage process, which poses numerous challenges at different stages of the survey lifecycle. This session welcomes papers on both opportunities and difficulties inherent in survey data harmonization.
The other session is titled Messiness in Extant Cross-national Survey Data: New Approaches to Old News and focuses on survey quality. Cross-national survey projects exhibit wide variation in data quality, both within and across projects. Some departures from quality standards that the specialized literature has established for data collection, cleaning, and documentation, such as the presence of non-unique records (or duplicates), are unequivocal instances of “bad data,” while others, such as certain types of processing errors are more ambiguous. Between the clearly bad and clearly good survey data there may be a range of “decent” quality surveys, with potentially interesting and important information collected form under-surveyed countries and less well covered time periods. However, to date there is little research that systematically assesses the quality of extant international survey data, or that looks at whether and how the “messiness” in existing surveys can be minimized ex-post, and with what consequences for empirical analyses. This session invites theoretical and empirical papers on evaluating the quality of extant surveys, after the stages of data gathering and documentation are completed.