[PDF] RAGIN Charles C. The Comparative Method: Moving Beyond





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Une méthode qualitative–quantitative pour décrire les stratégies d Une méthode qualitative–quantitative pour décrire les stratégies d

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behaupten und zu verkunden dass allein die quantitative Méthode genùgend Garantien bietet



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MÉTHODOLOGIE DE LA RECHERCHE SCIENTIFIQUE

Il existe deux types de méthodes de recherche utilisées en sciences sociales : l'approche quantitative et l'approche qualitative. Le choix de la méthodologie 



METHODE QUANTITATIVE VS METHODE QUALITATIVE

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Smith (1978) dans un article sur la méthodologie de la recherche qualitative



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RAGIN Charles C. The Comparative Method: Moving Beyond

Charles Ragin tries to move beyond qualitative and quantitative strategies in comparative social research. His first book The Comparative Method: Moving.



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QUELLE METHODOLOGIE DE RECHERCHE - strategie-aimscom

Formulating qualitative research questions 31 Incorporating literature and theory 33 Developing a conceptual framework 36 Selecting qualitative research methods 41 Evaluating quality 46 Further reading 48 4 Designing Participatory Research 49 Introduction 50 Our participatory approach to qualitative research 51 The participatory design sub-cycle 60



Chapitre I : La méthode quantitative

l’analyse quantitative apporte un ensemble de chiffres explicatifs des faits sociaux et des facteurs qui les déterminent Il ne s’agit pas de construire par l’enquête une image exacte du réel parce que le réel est « inépuisable » et il ne peut être décrit que par « la médiation de catégories de perception »

  • Études Qualitatives et Quantitatives : Définitions

    Dans un travail de recherche, les études qualitatives et les études quantitatives représentent des approches complémentaires. Il s’agit pour son auteur de bien distinguer la première de la seconde.

  • Les Différences Entre Les Études Qualitatives et Quantitatives

    Que ce soit à travers leur concept ou leur méthodologie de recherche pour obtenir les résultats souhaités, les études qualitatives et les études quantitatives diffèrent en de nombreux points. Nous les avons résumés dans le tableau ci-dessous.

Quelle est la différence entre les méthodes quantitatives et qualitatives?

La distinction entre les deux méthodes quantitatives et qualitatives résulte fondamentalement de l’influence de l’interprétation et de la perception subjective, qui est à son tour reflétée dans les méthodes de recherche employées dans l’exécution de l’étude. Bryman (1988) décrit la

Quelle est la méthodologie de l’étude qualitative ?

La méthodologie de l’étude qualitative comporte 3 étapes que l’on peut schématiser de la façon suivante : La première étape consiste à préparer l’étude. Il s’agit d’identifier la nature du problème afin de déterminer de façon précise l’objet de l’étude.

Qu'est-ce que les méthodes quantitatives et qualitatives?

Les méthodes quantitatives et qualitatives sont habituellement intégrées lorsque les résultats qualitatifs sont mobilisés pour interpréter ou expliquer des résultats quantitatifs inattendus. Le programme de recherche sur la réduction des inégalités sociales présenté par Stewart et al.

Quelle est la différence entre une étude quantitative et une étude qualitative?

L’étude qualitative : est descriptive et se concentre sur des interprétations. Les résultats sont exprimés avec des mots. L’étude quantitative : permet de prouver ou démontrer des faits. Les résultats sont exprimés en chiffres (statistiques).

Without a well-developed and formalized

technique of qualitative, holistic com- parison, social and political science researchers encounter considerable frus- trations and difficulties in terms of under- going comparative work. In cases of cross- national data sets, which are relatively small in size, conventional quantitative techniques, such as multivariate statisti- cal analysis cannot maintain patterns of statistical interaction. Moreover, if researchers want to compare different countries, statistical methods encourage them to increase sample size and ignore or at least skip other issues of compara- bility like historical, cultural or geo- graphical aspects of the social phenome- non in the study.

Charles Ragin tries to move beyond

qualitative and quantitative strategies in comparative social research. His first book, The Comparative Method: Moving

Beyond Qualitative and Quantitative

Strategies(1989), continues to represent

the leading methodological work in com- parative social science. It represents a sig- nificant attempt to step back from tradi- tional statistical techniques, particularly in comparative social and political sci- ence, and explore alternative ways of link- ing theory and evidence. Ragin proposes a synthetic new strategy, based on an application of 'Boolean Algebra', in order to simplify complex data structures in a logical and holistic manner. The strengths of both quantitative and qualitative social science methods are, therefore, deliber- ately combined with some sophistication, in order to get to the task of comparing cases.Before starting a more in-depth review of the book, it would be imperative to underline Charles Ragin's major contri- bution to Qualitative Comparative

Analysis (QCA). The School of

Comparative Social Research had its ear-

lier roots in substantive social research, especially Theda Skocpol's substantial studies of comparative historical trajec- tories and J.S Mill's comparative meth- ods (the methods of agreement and dif- ference). However, It is indisputable that

Ragin's book stands out as the most rep-

resentative work on comparative social research. In the book, he tries to reveal the epistemological vigour of combining qualitative and quantitative methods in comparative research.

Charles Ragin is Professor of Sociology

and Political Science at the University of

Arizona; he has developed his contribu-

tion in the area of comparative methods and their role in advancing systematic cross-case analysis and small-n studies.

Thus, books like the edited collections

of essays Issues and Alternatives in

Comparative Social Research(1991), What

Is a Case? Exploring the Foundations of

Social Inquiry (1992), the short intro-

ductory methodology text Constructing

Social Research. The Unity and Diversity

of Method (1994), and the edited collec- tion Formal Methods of Qualitative

Analysis(1994), deal with issues such as

the balancing emphasis on cases and on variables in good comparative social sci- ence; 'configurational' comparative research as a middle path between the very small-n and the very large-n approaches; the nature of the case and theRessenyes Papers 80, 2006299

RAGIN, Charles C.

The Comparative Method: Moving Beyond Qualitative and Quantitative

Strategies

Berkeley and Los Angeles: University of California Press, 1989, 185 p.

Fuzzy-Set Social Science

Chicago: University of Chicago Press, 2000, 352 p.

Papers 80 001-312 13/12/06 10:55 Página 299

ways in which a different understanding of what a case is affects the conduct and the results of research; and the possibili- ty of blending three major traditions by asserting their different goals: (1) quali- tative research (many variables, few cases) studies commonalities, (2) comparative research (some cases, some variables) stud- ies diversity, and (3) quantitative research (many cases, few variables) examines rela- tionships among variables.

Coming back to Ragin's first book

The Comparative Method, I want to

emphasize its main aim, that of identi- fying the distinctive strengths of case- oriented methods (qualitative strate- gies), in relation to variable-oriented methods (quantitative tools), and for- malizing them as a general method of qualitative comparison using 'Boolean

Algebra' - the algebra of logic and set

theory. This analytical strategy is called

Qualitative Comparative Method

(QCA) and may be applied to a few cases or to hundreds.

Ragin considers that the essential

characteristics of the qualitative/quanti- tative split in the social sciences are clear- ly noticeable in comparative social sci- ence. Cross-national studies that use quantitative tools, even though they can analyse many cases, tend to overlook important research questions or to dis- tort them; they are variable-oriented (as opposed to case-oriented) and abstract- ly causal (as opposed to historical).

Moreover, they are likely to become

vague and abstract by trying to broaden the scope of a study so they can lead to general conclusions. On the other side, comparative case studies, while they can examine just a few cases, are case-ori- ented, sensitive to complexity and his- torical specificity, and holistic - they treat cases as whole entities and not as collections of parts and capable of generating new conceptual schemes.

Furthermore, case-oriented methods per-

ceive causation as being 'conjuncturaland complex' - any of several combi- nations of conditions might produce a certain outcome and, thus, they inge- niously intermingle theory and data.

Ragin's main enquiry deals with how

to avoid the shortcomings of the two approaches: the limited range of cases by using case-oriented methods and the sim- plifying assumptions in the case of vari- able-oriented methods. The qualitative comparative method comes to link together the two approaches, providing an alternative to multivariate statistical analysis that is both holistic or histori- cally interpretative - the cases are treated as whole entities - and causal-analytical - more than a few cases can be examined and modest generalization is possible.

Nevertheless, it does not supersede tradi-

tional statistical analysis, but rather com- plement it. The data matrix of multi- variate analysis is replaced by truth tables of 'Boolean Algebra' in order to logically minimize data's complexity. Subsequently, two advanced methods of 'Boolean

Algebra' are introduced: one that address-

es the limited diversity of social phe- nomena and so the difficulty of manip- ulating them experimentally, and the second one, which concerns the use of set theory to contrast empirical configura- tions with theoretically constructed mod- els.

The last innovative approach of Ragin

to the practice of social science is encom- passed in his book Fuzzy-Set Social Science (2000). This new book goes beyond

Boolean analysis - binary scores (0 -

"out", 1 - "in") and explores the use of fuzzy-sets -an approach originated in the mid-1960s - in bridging the gap-line between quantitative and qualitative methods. Fuzzy-sets refers to planning a labelling scheme that is numeric but ordi- nal like, for example: - 0 refers to "fully out" of the set - lower numbers below 0.5 refers to "barely more out than in"

300Papers 80, 2006 Ressenyes

Papers 80 001-312 13/12/06 10:55 Página 300

- 0.5 represents neither "more in" nor "more out" of the set - higher numbers than 0.5 represent "almost fully in" the set - 1.0 refers to "fully in" the set

Cases are not seen a combinations of

variables as in the quantitative approach, but rather as configurations of set mem- berships or combinations of aspects and conditions. Ragin gives the example of poor countries, which are only a sub-set of the low-income countries. He argues that fuzzy-sets permit a far richer inter- connection between theory and empiri- cal evidence in social research than pre- viously possible. They not only allow quantitative researchers to abandon "homogenizing assumptions" about cases and causes but broaden diversity-orient- ed research strategies and provide a strong connection between theory and data analysis. More importantly, fuzzy sets can be cautiously adapted to fit evolving the- oretical concepts, sharpening quantita- tive tools with in-depth knowledge gained through qualitative, case-orient- ed inquiry.

This approach is potentially a great

advancement in research methods not only in sociology, political science, and anthropology, but also in whatever field of inquiry dealing with complex patterns of causation. The traditional dichoto- mous categories like old versus new, poor versus rich, left versus right, open ver- sus closed economies, proportionality versus majority, democracy versus dic- tatorship, etc., are more and more blurred by the complexity of social real-ity. The integration of (or interdepen- dence between) various aspects of social life gives rise in the end to a mix of ele- ments that originally follow from dif- ferent ideal types. Thus, fuzzy-set social science comes to explain and examine the fuzziness, vagueness or ambiguity of social reality.

Ragin's contribution to comparative

social science is undeniable and major.

QCA and fuzzy QCA approaches move

beyond standard social science analyt- ic techniques and promote two new methods of comparison in social sci- ence that surpass in an innovative way the well-known problems of both case- oriented and variable-oriented meth- ods: case complexity and analytic causality are thus peacefully reconciled.

Hence, the traditional gap between

qualitative and quantitative methods in social sciences becomes thinner if not obsolete. Nevertheless, social scientists using 'configurational' methods may criticize Ragin for his total dismissal of cluster analysis or scaling when seeking data patterns, while statisticians would remain unconvinced about the sound justification of fuzzy-sets instead of probability tests, or by the limited exploration of the potential application of fuzzy logic in social sciences - only to qualitative comparative analysis (QCA).

Mihaela Vancea

Universitat Pompeu Fabra

Departament de Ciències Polítiques

i Socials mihaela.vancea@upf.es

Ressenyes Papers 80, 2006301

Papers 80 001-312 13/12/06 10:55 Página 301

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