Author's Keywords: mixed methods - causal mechanisms - process tracing- coalition studies - comparative government formation	Convention All Academic Convention makes running your annual conference simple and cost effective. It is your online solution for abstract management, peer review, and scheduling for your annual meeting or convention. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: American Political Science Association URL: http://www.apsanet.org
Citation: URL: http://www.allacademic.com/meta/p61188_index.html Direct Link: HTML Code:

Bäck, Hanna. and Dumont, Patrick. "A Combination of Methods. The Way Forward in Coalition Research" Paper presented at the annual meeting of the American Political Science Association, Hilton Chicago and the Palmer House Hilton, Chicago, IL, Sep 04, 2004 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p61188_index.html>

Bäck, H. and Dumont, P. , 2004-09-04 "A Combination of Methods. The Way Forward in Coalition Research" Paper presented at the annual meeting of the American Political Science Association, Hilton Chicago and the Palmer House Hilton, Chicago, IL Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p61188_index.html

Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: Current research on coalition formation is plagued by two serious problems. First, we still cannot predict more than about one third of the governments that form in the Western European countries, and second, we typically do not have a good understanding of the causal mechanisms that explain the effects found in large-n coalition studies. In this paper, we illustrate that a combination of a statistical analysis and case study analyses should enable us to solve these problems and thus come closer to explaining and predicting coalition formation. Since statistical analyses are well equipped for measuring and isolating causal effects, we argue that a coalition study should start with such an analysis. By using the predictions made in this analysis, we can then select cases for an intensive study. In order to study the mechanisms underlying the effects found in large-n coalition studies, we argue for selecting cases that are predicted, and then applying the method of process verification. In order to find new explanatory variables, we argue for selecting cases that are deviant, and then applying the method of process induction.

Expanding Social Identity Theory for Research in Media Effects: Two International Studies and a Theoretical Model

How to Count Parties: Estimation of Models with Effective Number of Parties as Dependent Variables

Legislative Process, Party System and Coalition Government Formation