Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-17T19:14:23.205Z Has data issue: false hasContentIssue false

Data Access and Research Transparency in the Qualitative Tradition

Published online by Cambridge University Press:  29 December 2013

Colin Elman
Affiliation:
Syracuse University
Diana Kapiszewski
Affiliation:
Georgetown University

Extract

As an abstract idea, openness is difficult to oppose. Social scientists from every research tradition agree that scholars cannot just assert their conclusions, but must also share their evidentiary basis and explain how they were reached. Yet practice has not always followed this principle. Most forms of qualitative empirical inquiry have taken a minimalist approach to openness, providing only limited information about the research process, and little or no access to the data underpinning findings. What scholars do when conducting research, how they generate data, and how they make interpretations or draw inferences on the basis of those data, are rarely addressed at length in their published research. Even in book-length monographs which have an extended preface and footnotes, it can sometimes take considerable detective work to piece together a picture of how authors arrived at their conclusions.

Type
Symposium: Openness in Political Science
Copyright
Copyright © American Political Science Association 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

American Political Science Association. 2012. A Guide to Professional Ethics in Political Science, Second Edition. Washington, DC: American Political Science Association.Google Scholar
Beach, Derek, and Pedersen, Rasmus Brun. 2013. Process-Tracing Methods: Foundations and Guidelines. Ann Arbor: University of Michigan Press.CrossRefGoogle Scholar
Bennett, Andrew. 2010. “Process Tracing and Causal Inference.” In Rethinking Social Inquiry: Diverse Tools, Shared Standards, Second Edition, eds. Brady, Henry E. and Collier, David. Lanham, MD: Rowman and Littlefield.Google Scholar
Bennett, Andrew, and Checkel, Jeffrey, eds. Forthcoming. Process Tracing in the Social Sciences. New York: Cambridge University Press.Google Scholar
Collier, David. 2011. “Understanding Process Tracing.” PS: Political Science and Politics 44 (4): 823–30.Google Scholar
Druckman, James N., Green, Donald P., Kuklinski, James H., and Lupia, Arthur. 2011. “Experiments: An Introduction to Core Concepts in Political Science.” In Cambridge Handbook of Experimental Political Science, eds. Druckman, James N., Green, Donald P., Kuklinski, James H., and Lupia, Arthur. New York: Cambridge University Press.CrossRefGoogle Scholar
Goertz, Gary, and Mahoney, James. 2012. A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Grofman, Bernie, and Schneider, Carsten. 2009. “An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression.” Political Research Quarterly 62 (4): 662–72.CrossRefGoogle Scholar
Lupia, Arthur, and Elman, Colin. 2014. “Openness in Political Science: Data Access and Research Transparency.” PS: Political Science and Politics 47 (1): this issue. Google Scholar
Mahoney, James. 2012. “The Logic of Process Tracing Tests in the Social Sciences.” Sociological Methods & Research 20 (10): 128.Google Scholar
Moravcsik, Andrew. 2014. “Transparency: The Revolution in Qualitative Research.” PS: Political Science and Politics 47 (1): this issue. Google Scholar
Ragin, Charles. 2000. Fuzzy Set Social Science. Chicago: University of Chicago Press.Google Scholar
Ragin, Charles. 2008. Redesigning Social Inquiry: Fuzzy Sets and Beyond. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Schatz, Edward, ed. 2009. Political Ethnography: What Immersion Contributes to the Study of Power. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Schneider, Carsten, and Wagemann, Cladius. 2010. “Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets.” Comparative Sociology 9 (3): 397418.CrossRefGoogle Scholar
Sekhon, Jasjeet S. 2004. “Quality Meets Quantity: Case Studies, Conditional Probability, and Counterfactuals.” Perspectives on Politics 2 (2): 281–93.CrossRefGoogle Scholar
Yanow, Dvora, and Schwartz-Shea, Peregrine. 2006. Interpretation and Method: Empirical Research Methods and the Interpretive Turn. Armonk, NY: ME Sharpe.Google Scholar