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Didactics (1)
Inventory of good practices in QCA
COMPASSS Didactics Working Paper
Version 7 Nov. 2003
Benoît Rihoux (UCL - COMPASSS), Gisèle
De Meur (ULB - COMPASSS), Sakura Yamasaki (UCL - COMPASSS) and Sophie
Ronsse (UCL - COMPASSS)
1. Some introductory remarks (1)
QCA is still a young method. That is why
it is very easy to misunderstand some of its logic or functions, and even
sometimes to really misuse it. There is thus a spontaneous need to produce
some indicators in terms of good practices for QCA analyses. This document,
which is the result of our own experience both as researchers and professors,
aims at making an inventory of these good practices (2).
If you wish to add any ideas to this inventory,
or any precision or nuance on such and such point, please don't hesitate
at letting us know by sending an e-mail to G. De Meur (gdemeur@ulb.ac.be
). Your pertinent suggestions will enrich this document (reference to
your name will be made, of course).
This document contains two sections : first,
it gives general advice, followed by a second section
which provides more specific advice, listed in the
sequence of a classical QCA analysis. We hope this will serve as a " check
list " for those engaged in a QCA analysis.
2. General advice :
2. Draw on the different functions of the
software (many of which are under-used, like the " hypothesis testing
" function (3)) ;
3. Use technical and reference concepts
with precision, in order not to induce the reader in error (for example,
a " condition " is not an " independent variable ", etc.) ;
4. Never forget the configurational logic
of QCA : never consider the influence of such or such condition in an
isolated manner, especially in the interpretation of minimal formulae
;
5. Never use QCA based on a " press button
" logic, but as a tool which requires iterative steps, different go and
back towards cases and theories ; do not try to hide the encountered difficulties
but explain the way in which they have been solved ;
6. Do not invent what QCA does not tell
you. In particular, be careful before interpreting a minimal formula in
terms of causality. The formulae express, more modestly, co-occurrences.
7. In the research process,
do not exclusively focus on QCA (nor on one and only one method, whatever
it may be). At different stages of the research, choose the best fit method
according to the needs, the situation, the type of data, or the pursued
aim, etc. Use QCA in some stages of the research, et draw lessons and
conclusion from other methods at other stages of the research, be these
methods qualitative (4) or quantitative (5).
3. Specific advice :
Following the typical QCA application process
:
1. Choose the cases in a rigorous manner
(truly under a comparative design) ;
2. Develop an " intimacy " with each of
the cases ;
3. Choose the conditions in a rigorous fashion,
i.e. based on theoretical and empirical grounds, and in reduced number
(cf. the ration between the number of cases and the number of conditions)
;
4. When the raw data (not yet dichotomised)
are quantitative data, show them ;
5. Clearly mention the way in which each
condition is dichotomised. Justify the threshold based on real knowledge
and not on pure technical criteria;
6. Show the truth table, by indicating to
which observed cases correspond each configuration ;
7. If the truth table shows contradictory
configurations, resolve them. There are several ways to do this, cf. Ragin
(1987), pp.113-8;
8. Proceed systematically to four minimisations
: those for the configurations with an " 1 " outcome, first without and
then with the inclusion of logical cases, and those for the configurations
with a " 0 " outcome, first without and then with the inclusion of logical
cases ;
9. The minimisations should be done with
the software and not by hand ("exact" algorithm of Quine-McCluskey);
10. Resolve the potential
" contradictory simplifying assumptions " (or " contradictory logical
cases ") produced along with the minimisations with inclusion of logical
cases (6);
11. Present (even in a summary manner) the
main iterations of the research (back to cases, back to theories, model
refining, etc…) ;
12. For each minimisation, present all minimal
formulae obtained at the end of the analysis. If one of them is eventually
selected as best, mention the justification for such a choice;
13. Proceed to a real return to the cases
(and/or theory) at the end of the analysis, based on the minimal formulae.
(1) Although QCA is both
an approach and a technique, these good practices essentially revolve
around technical matters. To have an overview of the on-going discussion
around QCA as an approach, see RIHOUX B. (forthcoming), "Bridging the
gap between the qualitative and the quantitative worlds? A retrospective
view on Qualitative Comparative Analysis", in Field Methods, Vol.
15 (2), pp.115-130.
(Go back to text)
(2) In fact, shouldn't any
technique (we are thinking in particular of statistical techniques) equally
be accompanied by such a list, a " code of good conduct " which would
be a reference in the scientific community ?
(Go back to text)
(3) See WATANABE T., "Where
theory and reality meet: using the full potential of QCA by exploiting
the intersection function of the QCA software. International comparison
analysis about the occurrence of social movement.", Communication presented
at the COMPASSS Launching Conference, 16-17 Sept. 2003, Louvain-la-Neuve
and Leuven, Belgium. Can be downloaded on the COMPASSS site, "Working
Papers" section : http://www.compasss.org/WP.htm
; see also YAMASAKI S., "Testing
hypotheses with QCA: application to the nuclear phase-out policy in 9
OECD countries", Communication presented at the 2nd ECPR General Conference,
18-21 Sept. 2003, Marburg, Germany.
(Go back to text)
(4) A good example : BELL
J. and LOANE S., "Entrepreneurship research in Europe: innovative methods
in the exploration of internationalisation issues", 2003, project in progress,
downloadable at www.epi-entrepreneurship.com/doc/BELL.pdf.
(Go back to text)
(5) A good example : BOSWELL
T. and BROWN C., "The scope of general theory. Methods for linking deductive
and inductive comparative history", Sociological Methods and Research,
Vol.28, n°2:154-185, 1999.
(Go back to text)
(6) About these contradictory
logical cases, see RIHOUX B., Les partis politiques : organisations en
changement. Le test des écologistes, Paris, L'Harmattan, (2001) pp.205-8.
See also VANDERBORGHT Y. and YAMASAKI S., "The
problem of contradictory simplifying assumptions in Qualitative Comparative
Analysis (QCA)", paper presented at the 2nd ECPR General Conference,
18-21 Sept. 2003, Marburg, Germany. Downloadable at : http://www.essex.ac.uk/ecpr/events/generalconference/papers/6/5/Vanderborght.pdf
.
See also VANDERBORGHT Y. and YAMASAKI S., "Des cas logiques… contradictoires
? Un piège de l'AQQC résolu à travers l'étude de la faisabilité politique
de l'Allocation Universelle" in Revue Internationale de Politique Comparée,
Vol.11 (1), 2004.
(Go back to text)
"QCA lends
itself to several functions: it allows either to present the data in a
more parsimonious manner, or to validate or refute models or existing
theories, or yet to elaborate new theoretical proposals in the form of
hypotheses"(p.35; our translation). For more details on each of these
functions, see pp.78-80 of the book (in French):
G. DE MEUR et B. RIHOUX, "L'Analyse Quali-Quantitative
Comparée (AQQC-QCA). Approche, techniques et applications en sciences
humaines", Louvain-la-neuve: Academia-Bruylant, 2002, p.35. Click
here to go on the information page about this book.
Last modified: 21-Déc-2006
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