COMParative methods for the Advancement of Systematic cross-case analysis and Small-n Studies
International ressource site
NEWS: training, meetings, publications
Didactics: Boolean algebra and QCA logic
CCM Textbook
Other small N techniques - discussion and applications
1. ALASUUTARI, Pertti. "Beyond the Qualitative-Quantitative Distinction: Crosstabulation in Qualitative Research." International Journal of Contemporary Sociology 2 (1995): 251-68.
2. BERG-SCHLOSSER, Dirk. "COMPASSS Working Paper 2002-2: Macro-Quantitative
Vs. Macro-Qualitative Methods in the Social Sciences - Testing Empirical
Theories of Democracy.", 2002.
Abstract: There are some new attempts to bridge the divide between quantitative
and qualitative methods in the social sciences. My paper explicitely illustrates
and tests some of these methods like regression, cluster, or discriminant
analysis, on the one hand, and more recent case- and diversity-oriented
methods like QCA, Fuzzy Sets and similar ones, on the other. This is done
by using examples and data for different empirical theories of democracy
such as those by Lipset, Vanhanen, or Moore/Stephens. In this way, the
specific strengths and weakenesses of the respective methods and theories
are demonstrated.
3. ---. "Macro-Quantitative Vs Macro-Qualitative Methods in the
Social Sciences - Testing Empirical Theories of Democracy." Colloque
de la Revue Internationale de Politique Comparée "Faire de
la politique comparée au 21eme siecle" Atelier 2:outils méthodologiques:
2002.
Abstract: There are some few attempts to bridge the divide between quantitative
and qualitative methods in the social sciences. This paper explicitely
illustrates and tests some of these methods like regression, cluster,
or discriminant analysis, on the one hand, and more recent case- and diversity-oriented
methods like QCA, Fuzzy Sets and similar ones, on the other. This is done
by using examples and data for different empirical theories of democracy
such as those by Lipset, Vanhanen, or Moore/Stephens. In this way, the
specific strenghts and weaknesses of the respective methods and theories
are demonstrated.
4. CHOMPALOV, Ivan Michailov. "Multi-Institutional Collaborations
in Science: Structure, Types, and Outcomes.". Louisiana State University,
1998.
Abstract: The advent of modern 'big science' brings about a new kind of
research formation: multi-institutional collaborations involving teams
of researchers from several organizations. Despite their recent proliferation
and visibility, no general classification of these 'virtual organizations'
exists. This study adopts a macrosociological, comparative perspective
to develop a variety of classification schemes that capture the systematic
variation of interorganizational collaborations in science along basic
structural dimensions and to examine the relationships of these classifications
with important sociological outcomes. Qualitative, historical analysis
of collaborations in high-energy physics, space science, and geophysics
showed that, when we set aside field-specific differences, seven general
dimensions emerge as fundamental in describing the structural variety
of collaborations in science: project formation, magnitude, organization
and management, interdependence, participation, communication, and technological
practice. Cluster analysis was then employed using interview data from
23 recent collaborations in five new areas of physics and allied sciences
to build classification schemes along these structural dimensions. Next,
analysis of variance models and qualitative comparative analysis were
used to explore how the classifications relate to valued sociological
outcomes such as success, trust, conflict, stress, and documentary routines.
The empirical results strongly supported the central argument that a typology
based on a broad conception of technological practice is superior to others
in its ability to predict the patterned consequences of multi-institutional
collaborations in science. In fact, it is the only clustering that is
capable of explaining perceived success, trust, and stress. The major
findings of the dissertation research suggest that it is necessary to
move away from the narrow focus on the laboratory and the disciplinary
organization of R&D in order to capture the structure.
5. GRIFFIN, Larry J. "Narrative, Event-Structure Analysis and Causal Interpretation in Historical Sociology." American Journal of Sociology 98.5 (1993): 1094-133.
6. ---. "Temporality, Events, and Explanation in Historical Sociology : an Introduction." Sociological Methods and Research 20 (1992): 403-27.
7. GRIFFIN, Larry J., et al. "Theoretical Generality, Case Particularity : Qualitative Comparative Analysis of Trade Union Growth and Decline." Issues and Alternatives in Comparative Social Research. ed. Charles C. RAGIN. Leiden: E.J. Brill, 1991. 110-36.
8. GRIFFIN, Larry J., and Charles C. RAGIN. "Some Observations on Formal Methods of Qualitative Analysis." Sociological Methods and Research 23.1 (1994): 1-12.
9. HAGFORS, Robert, and Olli KANGAS. "Neural Computation As a Clustering Method for Comparative Welfare State Research." ESPAnet 2004 Conference, Comparative Methodology Stream: 2004.
10. HAMPEL, Frank R., et al. Robust Statistics. The Approach Based on Influence Functions. New York: J.Wiley, 1986.
11. HAWLEY, Joshua D. "Media Review: Rihoux B. & Grimm H. (2006). Innovative Comparative Mehtods for Policy Analysis: Beyond the Qauntitative-Qualitative Divide. New-York: Springer ." Journal of Mixed Methods Research 1.4 (2007): 390-92.
12. HEISE, David R. "Computer Assistance in Qualitative Sociology."
Social Science Computer Review 10.4 (1992): 531-43.
Abstract: Software for analyzing qualitative data is emerging simultaneously
with a resurgence of formal methods for qualitative analysis, giving contemporary
sociologists unprecedented control over qualitative research projects.
This article focuses on computer methods of text analysis and on software
for building "logic models" that systematize interpretations
of empirical data. Content analysis, network analysis, and image analysis
are mentioned as additional growth areas in computer-assisted qualitative
research.
13. ---. "Modeling Event Structures." Journal of Mathematical
Sociology 14 (1989): 139-69.
Abstract: Other technique : Event Structure Analysis (ESA)
14. HOYLE, R. H. Statistical Strategies for Small Sample Research. London: Sage, 1999.
15. HUBER, Günter L. Analysis of Qualitative Data With AQUAD Five for Windows. Schwangau: Ingeborg Huber Verlag, 1997.
16. Huber, Günter L. AQUAD Five. Vers. 5.8. Schwangau: Ingeborg Huber Verlag, 1999.
17. JANOSKI, Thomas. "Synthetic Strategies in Comparative Sociological Research : Methods and Problems of Internal and External Analysis." Issues and Alternatives in Comparative Social Research. ed. Charles C. RAGIN. Leiden: E.J. Brill, 1991. 59-81.
18. JANOSKI, Thomas, and Alexander M. HICKS, eds. The Comparative Political Economy of the Welfare State. Cambridge: Cambridge University Press, 1994.
19. KANOMATA, Nobuo. "Yogen no Jikozyouzyu Moderu [A model of Self-Fulfilling Prophecy]." Shituteki Hikaku Bunseki [Qualitative Comparative Analysis]. eds Nobuo KANOMATA, Daishiro NOMIYA, and Keiji HASEGAWA. Kyoto: Mineruva Syobo, 2001.
20. KILBURN, Witht H. "Explaining U.S. Urban Regimes: a Qualitative Comparative Analysis." Urban Affairs Review .39 (2004): 663-51.
21. LAGUECIR, Aziza. "Practices of Cost Planning and Management Tools in NPD Process: a Quali-Comparative Approach." Druid Winter Conference: 2003.
22. LESTHAEGHE, Ron. "Beyond Economic Reductionism : the Transformation of the Reproductive Regimes in France and Belgium in the 18th and 19th Centuries." Fertility Transitions, Family Structure and Population Policy. ed. Calvin GOLDSCHNEIDER. Boulder & San Francisco: Westview Press, 1992. 1-44.
23. LESTHAEGHE, Ron, et al. "Post-Partum Abstinence, Polygyny, and Age at Marriage : a Macro-Level Analysis of Sub-Saharian Societies." Nuptiality in Sub-Saharian Africa. eds C. BLEDSOC and G. PISON. Oxford: Clarendon Press, 1994. 25-54.
24. LEVI, Margaret. "Analytic Narratives and Other Systematic and Rigorous Ways to Do Case Study and Qualitative Comparative Research (Course Syllabus, University of Washington).", 2001.
25. MAHONEY, James. "Comparative-Historical Methods: The State of the Art. Lecture for the COMPASSS Meeting, 25-6 November 2004, Leuven.", 2004.
26. ---. "Nominal, Ordinal, and Narrative Appraisal in Macrocausal Analysis." American Journal of Sociology 104.4 (1999): 1154-96.
27. MILES, Matthew B., and A. Michael HUBERMAN. Qualitative Data Analysis: an Expanded Sourcebook. 2nd revised ed. Thousand Oaks: Sage, 1994.
28. MILES, Matthew B., and Eben A. WEITZMAN. "Appendix. Choosing Computer Programs for Qualitative Data Analysis." Qualitative Data Analysis: an Expanded Sourcebook. Matthew B. MILES and A. Michael HUBERMAN. 2nd revised ed. Thousand Oaks: Sage, 1994. 311-17.
29. RANTALA, Kati, and Eeva HELLSTRÖM. "Qualitative Comparative Analysis - a Hermeneutic Approach to Interview Data." International Journal of Social Research Methodology 4.2 (2001): 87-100.
30. RANTALA, Kati, and Eeva HELLSTRÖM. "Qualitative Comparative Analysis and a Hermeneutic Approach to Interview Data." Fourth ISA World Congress of Sociology, Session ‘The Computerized Analysis of Textual Records’: 1998.
31. RIHOUX, Benoit, and Sakura YAMASAKI. "Qualitative Comparative Analysis and Multi-Value QCA (MVQCA) on Blind Data: Come Explorations and Critical Comments.", 2005.
32. SICAKKAN, Hakan Gürcan, and Atilla E. GÜNHAN. "Neural Networks As an Alternative Model in System Identification Paradigm: A Comparison of Statistics, Qualitative Comparative Analysis and Neural Networks As Tools of System Identification." Reports in Information Science (Bergen, Institutt for Informasjonsvitenskap, Universitetet i Bergen) (1995).
33. WEITZMAN, Eben A., and Matthew B. MILES. Computer Programs for Qualitative Data Analysis. Thousand Oaks: Sage, 1995.
34. ZEKIC, Marijana. "Neural Network Applications in Stock Market Predictions. A Methodology Analysis.", 1998.
Last modified: 09-Oct-2007
Benoît RIHOUX, Centre de Politique Comparée
Gisèle
DE MEUR, Lab.
de recherche en MAThématiques et sciences humaines
Afdeling
Arbeids- en Organisatiesociologie
Peter BURSENS,
Onderzoeksgroep
Internationale Politiek