Volume 8, No. 3, Art. 26 – September 2007

On Generalization in Qualitatively Oriented Research

Philipp Mayring

Abstract: In this article, I open a debate about the importance and possibilities of generalization in qualitative oriented research. Generalization traditionally is seen as a central aim of science, as a process of theory formulation for further applications. Others criticize the concept in general, either because of the insufficiency of inductive arguments (POPPER, 1959) or because of context specificity of all scientific findings (LINCOLN & GUBA, 1985). In this paper, I argue that generalization is necessary in qualitative research, but we have to differentiate different aims of generalization: laws, rules, context specific statements, similarities and differences, and procedures. There are different possibilities to arrive at a generalization: analysis of total population, falsification, random or stratified samples, argumentative generalization, theoretical sampling, variation, and triangulation. Depending on the type of research or research design some of those strategies of generalization can be important for qualitative oriented research. This is discussed especially in respect to single case analysis.

Key words: generalization, qualitative research, single case analysis

Table of Contents

1. Introduction

2. The Logic of Generalization

3. The Critics of Generalization

4. The Aims of Generalization

5. Procedures of Generalization

6. Possibilities of Generalizations from Single Case Studies

7. Final Conclusions and Questions





1. Introduction

Qualitatively oriented research projects usually use more intensive and extensive methods of data collection and data analysis like in-depth interviews, open-ended questionnaires, long-lasting field research with many field notes, and interpretative document analysis. This often allows the construction of only few cases or small samples. But can we draw more general inferences from our data? Are the results of such a study valid not only for the study but for the population on which the research question wanted to make statements? Do we find in our cases or small samples characteristics or relationships that have value for other cases or samples? This is the problem of generalization. [1]

Looking for first, rough definitions of the term, we find formulations as

In traditional quantitative social research the problem of generalization is discussed under the concept of external validity (of experimental studies). Would the same result be found under a different set of circumstances (SARAFINO, 2005)? [3]

Generalization is a central step in the qualitative research process, as FLICK (2005) has worked out in his qualitative process model. He underlines the necessity to define the aims of generalization (e.g. comparisons, typologies, age, sex, area). But what are concrete procedures of generalization? [4]

In his contribution to the FQS Debate on Quality of Qualitative Research, FAHRENBERG (2003) underlines the necessity of generalization, but criticizes in qualitative studies an overhasty generalization of their results. [5]

Some authors argue that here are different forms of generalization in qualitative and in quantitative oriented research. DIRIWAECHTER, VALSINGER and SAUCK (2005) distinguish functional generalization (looking for commonalities between observations, more quantitative) and categorical generalization (building homogeneous classes, more qualitative). FLICK (2005) differentiates between numerical and theoretical generalization which goes in a similar direction. But they all underline the important role of generalization. [6]

2. The Logic of Generalization

The procedure of generalization seems to be the kernel of all scientific work, a basic attribute of scientific knowledge as the aim of science. From single observations we try to draw inferences to more general formulations to be extended to future situations, as Figure 1 illustrates.

Figure 1: The process of generalization [7]

The formulation of more general statements is only possible by abstraction. This conclusion is called induction. The general formulation can be linked with other, formerly developed general formulations to a network of statements, a theory. The advantage of those theories is that we can apply them to new situations which we don’t have to explore over again. This conclusion is called deduction. Such a proceeding seems to be very useful, that is, it appears to be at the core of scientific work. But there are considerable objections. [8]

3. The Critics of Generalization

There are two critical positions towards generalization: a constructivist and a critical rationalist position. [9]

The first position can be characterized by the famous notion: "The only generalization is that there is no generalization" (LINCOLN & GUBA, 1985, p.110). From a constructivist point of view all phenomena are time and context specific. Our insight can only be a reconstruction of subjective perspectives of people in specific situations. So the aim of inquiry can only be the development of an ideographic body of knowledge. Even the social constructivist position, which seeks for similarities of individual perspectives, takes those agreements as only time and context specific. DENZIN (1983) argues in a similar direction stating that "the interpretivist rejects generalization as a goal" (p.133). Human interactions and lifeworld phenomena have always multiple meanings, which leads to an inherent indeterminateness in the lifeworld and forbids generalizations. [10]

The second position brings the central logical argument, that a complete inductive proof of general sentences is not possible (POPPER, 1959). Even if we observed thousands of white swans it is impossible to draw the inference that all swans are white (because tomorrow a black one could occur), and only such time- and space-unrestricted sentences (universal statements) are scientific useful. This is why POPPER developed his program of falsification working only with deductive inferences. He hopes that after falsifying all fallacies only true sentences will remain. This position of critical rationalism, nowadays often called post-positivism, is found in qualitative oriented research as well (DENZIN & LINCOLN, 2003). So the controversy is open. [11]

There is a position that mediates between the extreme standpoints for and against generalization. Malcolm WILLIAMS (2002) calls it moderatum generalization and puts it in contrast to total generalization, where the specific sentences S are completely and identically covered by the general laws. "Moderatum generalization: where aspects of S can be seen to be instances of a broader recognizable set of features. This is the form of generalization made in interpretive research" (p.131). [12]

In this article I argue that such moderate position is fruitful. Generalization is important and necessary for scientific research, but we have to specify what sorts of arguments or inferences are aimed at with generalization and what procedures of generalization are used. [13]

4. The Aims of Generalization

In Chapter 2 I stated that general formulations, that is, theoretical sentences, are the aim of generalization. But they can have different forms and structures, and different types of general sentences need different procedures of generalization. Perhaps we can differentiate eight different types of generalizations:

Those eight levels of generalized sentences differ in abstraction: from general laws to procedures for gaining insight in specific situations. It is the epistemological position of the researcher and the conditions and possibilities of his research field and research question which determines the aim of generalization in a study. The next point would be to find a concrete procedure for generalization. [15]

5. Procedures of Generalization

There are very different possibilities to come to generalizations. I want to describe eleven pathways:

This list shows that there is a broad range of different possibilities to generalize results in quantitative and qualitative oriented studies. Again the adequate strategy depends on theoretical and epistemological considerations. [17]

6. Possibilities of Generalizations from Single Case Studies

I want to demonstrate the possibilities of generalization for a type of study widely used in qualitative oriented research: the single case analysis. Here the necessity of generalization is evident, because the single case itself is not of interest, only the conclusions and transfers we can draw from this material. [18]

The first tentative and weakest form of generalization would be to analyze the context of the single case and to generalize the results to similar contexts. We have deeply interviewed a young male person in a larger city and we generalize the results to young male urbanities. It would be better to reflect on generalization ex ante, which means to select the single case following prior considerations. Looking for a typical case, a representative case, a frequent occurring case or a theoretical interesting case would be a good strategy. That means that it would be good to formulate a case definition (What would be a good case for my study?) before the case selection (cf. MAYRING, 2003). [19]

The next step to confirm the results and to come to more general conclusions is to widen the case basis. The recommendations of case study researchers are to work with three to ten single cases (cf. YIN 2005). The use of contrast cases, of theoretical sampling has been described above. [20]

A last possibility to come to general conclusions from single cases lies in the longitudinal structure of the material. We can identify time series in a single case and analyze trends (see for statistical possibilities SHUMWAY & STOFFER, 2006). But even experimental designs can be reconstructed in single cases: Several interventions in the life course, observations before and after the interventions, comparison with biographical phases without intervention can lead to a systematic analysis of intervention effects and causal interpretations (cf. JULIUS, SCHLOSSER & GOETZE, 2000). [21]

7. Final Conclusions and Questions

In summarizing, there are three general questions on generalization in qualitative oriented research projects:

I argue in this paper that the problem of generalization depends on the aims, the statements to be made, or the anticipated results. In most cases the targeted conclusions of a qualitative study are more general than the results found: we need generalization. There is a broad range of possibilities for generalization from qualitative studies. Especially single case analyses are not speaking for themselves, they need generalization. A reflective, theory-guided selection of cases and a stepwise broadening of the case basis are central procedures for generalization of single cases. [23]


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Philipp MAYRING is professor for psychology at the Institute for Psychology of University of Klagenfurt. He is leading the department for Applied Psychology and Methodological Research of the institute and the Center for Evaluation and Research Consulting of the University of Klagenfurt in Austria. His research areas are qualitative content analysis, mixed methodology, evaluation and applied topics in the fields of health and well-being, education and life long development.


Prof. Dr. Philipp Mayring

Institute for Psychology
Universitaststrasse 65-67, A-9020 Klagenfurt, Austria

Tel.: 0043 4632700-1671 (or -1605)
Fax: 0043 4632700-1697

E-mail: philipp.mayring@uni-klu.ac.at
URL: http://wwwu.uni-klu.ac.at/pmayring/index.php


Mayring, Philipp (2007). On Generalization in Qualitatively Oriented Research [23 paragraphs]. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 8(3), Art. 26, http://nbn-resolving.de/urn:nbn:de:0114-fqs0703262.

Forum Qualitative Sozialforschung / Forum: Qualitative Social Research (FQS)

ISSN 1438-5627

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