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Association: Name: American Political Science Association URL: http://www.apsanet.org
Citation: URL: http://www.allacademic.com/meta/p152846_index.html Direct Link: HTML Code:

Beck, Nathaniel. "Qualitative and Quantitative Methods: Can They Be Joined?" Paper presented at the annual meeting of the American Political Science Association, Marriott, Loews Philadelphia, and the Pennsylvania Convention Center, Philadelphia, PA, Aug 31, 2006 <Not Available>. 2011-03-13 <http://www.allacademic.com/meta/p152846_index.html>

Beck, N. , 2006-08-31 "Qualitative and Quantitative Methods: Can They Be Joined?" Paper presented at the annual meeting of the American Political Science Association, Marriott, Loews Philadelphia, and the Pennsylvania Convention Center, Philadelphia, PA Online <APPLICATION/PDF>. 2011-03-13 from http://www.allacademic.com/meta/p152846_index.html

Publication Type: Proceeding Abstract: Brady, Collier and Seawright have argued that ``causal process observations'' can be adjoined to ``data set observations.'' This implies that qualitative methods can be used to add information to problematic quantitative data sets and hence can solve quantitative research design issues. In a recent symposium in Political Analysis I argued that such qualitative information cannot be adjoined in any meaningful way to quantitative data sets. In that symposium the original authors offered several defenses. Here I consider those defenses. In particular, I argue that the ``causal process observations'' are useful either for the explanation of specific events, or to help in the theory building process (or in any other way that qualitative analysts find them useful); but, they are not capable of being ``adjoined'' to standard quantitative data. Furthermore, there appears to be ambiguity in how BCS use the term "causal process observation," and whether the BCS usage covers items that look more like ``data set observations.''

Structured Qualitative Research: Organizing �Mountains of Words� for Data Analysis, both Qualitative and Quantitative

Using Multiple Methods to Study Multiple Marginalization: Qualitative, Quantitative, and Normative Approaches to Studying the Intersectional Politics of Racial, Gender, and Income Inequalities."

How Multivariate Quantitative Techniques Can Be Used to Facilitate the Interpretation of Qualitative Data: A Case Study