In this book, Ronald Giere seeks to resolve the opposition between objectivism and constructivism by suggesting a third way, perspectival realism, according to which both sides are partly right. To prove his case, Giere reconstructs some of the acknowledged puzzle pieces in the philosophy of science (theory, observation, etc.). To my mind, of most interest is the piece Giere calls “representional model.” Constituting the basis of every science, it functions as a template that governs data collection as well as theory (...) development. Throughout the book, Giere illustrates his various propositions with examples taken from the natural sciences. I contend that the propositions are just as relevant for the social sciences and present some examples in order to indicate this. Especially, the concept of model is useful both for a better understanding of social science and for increasing its cumulativity. (shrink)

The paper has three aims. First, to show that Julian Reiss' critique of what he calls the New Mechanist Perspective in the social sciences is built on a number of misconceptions; second, to provide some arguments for the need of reflections and discussions about common and "ultimate" goals for the social sciences; and third, to suggest a focus on mechanisms as one such viable goal. Key Words: social science • goals • explanations • mechanisms.

This article argues that analytical sociology an approach that attempts to study social mechanisms ‘without, black boxes’ can benefit from the use of explanatory mixed methods. Analytical sociologists mainly relate their theoretical and agent-based models to representative surveys and experiments. While their central claim is to find and test the actual mechanisms that have produced the explanandum. the mechanisms they postulate often remain speculative. Neither agent-based models, nor experiments or mainstream quantitative methods, give access to some of the central elements (...) of the causal mechanisms and the relevant subjective and objective contextual parameters. One of the most important reasons for this lies in the fact that social reality is changing fast., characterized by strong diversity and complexified by the phenomenon of cultural meanings. I argue that by creating and testing the models of analytical sociology with explanatory mixed methods, researchers have the possibility of getting closer to their object of research and therefore of having the chance to create more valid explanations. (shrink)

ABSTRACTCritical realism's insight into depth ontology creates the possibility for re-imagining sociology as a science of the social world. However, critical realism has yet to gain a strong foothold in sociological analysis. Challenging the available criticism of critical realism, I argue that its main flaw is its inability to draw an appropriate epistemological strategy from its insights into depth ontology. I propose that this limitation can be overcome when we anchor the depth ontology of critical realism to the two-step epistemological (...) strategies of Bourdieu's field theory: first, objectifying common sense to develop a scientific model of social structure; and second, objectifying the scientific point of view to re-introduce common sense in the scientific model of social structure. I argue that by anchoring the ontological insights of critical realism to the epistemological strategies of field theory, we can create the long-sought core around which sociology can progress as a science of the social world. (shrink)

A recent movement in the social sciences and philosophy of the social sciences focuses on mechanisms as a central analytical unit. Starting from a pluralist perspective on the aims of the social sciences, I argue that there are a number of important aims to which knowledge about mechanisms—whatever their virtues relative to other aims—contributes very little at best and that investigating mechanisms is therefore a methodological strategy with fairly limited applicability. Key Words: social science • mechanisms • explanation • critical (...) realism • methodology. (shrink)

Can purely predictive models be useful in investigating causal systems? I argue ‘yes’. Moreover, in many cases not only are they useful, they are essential. The alternative is to stick to models or mechanisms drawn from well-understood theory. But a necessary condition for explanation is empirical success, and in many cases in social and field sciences such success can only be achieved by purely predictive models, not by ones drawn from theory. Alas, the attempt to use theory to achieve explanation (...) or insight without empirical success therefore fails, leaving us with the worst of both worlds – neither prediction nor explanation. Best go with empirical success by any means necessary. I support these methodological claims via case studies of two impressive feats of predictive modelling: opinion polling of political elections, and weather forecasting. (shrink)

Election prediction by means of opinion polling is a rare empirical success story for social science. I examine the details of a prominent case, drawing two lessons of more general interest: Methodology over metaphysics. Traditional metaphysical criteria were not a useful guide to whether successful prediction would be possible; instead, the crucial thing was selecting an effective methodology. Which methodology? Success required sophisticated use of case-specific evidence from opinion polling. The pursuit of explanations via general theory or causal mechanisms, by (...) contrast, turned out to be precisely the wrong path—contrary to much recent philosophy of social science. (shrink)

Critical realists offer a set of philosophical underpinnings for social research. Critical realists also engage constructively with social theory, but they are more than just theorists. In this chapter I list and describe various innovative methodological contributions made in recent years by realists. I point out ways in which research methods (i.e. techniques) fit with particular methodological assertions. There is a historical legacy of empiricism which critical realists often use as a foil to make their own position more clear. However, (...) among realists, a wide variety of methods are used, and the range of realist methodological assumptions is wider than one might expect because of their efforts to work with social theory.The introduction to the chapter covers ontology as it relates to research methods. The second section of the review introduces retroduction, a major methodological starting-point common to most realists. The third section reviews concretely the realist debate over statistics and some realist contributions to qualitative methodology, qualitative methods, and action research as used by realists. The fourth section takes up the challenge of realist claims about knowledge (debates usually known as epistemology). An important aim in this chapter is to argue that 'factual' statements usually embody layers of meaning, and thus are contestable; that enquiry using quantitative methods can coherently be done from a realist perspective; and that among realists qualitative enquiry is a broad and useful set of methods which have made genuine innovations in methodological knowledge. Meta-critique and pluralism are widely-used realist contributions to the methods tool-basket in social science, and the realist approach to social statistics is a much better guide to how statistics is, in practice, done than any currently available empiricist quantitative textbook (Ron, 2002). However 'quantitative' research always rests upon conceptual, theoretical and qualitatively derived frameworks and therefore is derived from qualitative work, whereas the converse is not true; qualitative research does not require any quantitative research. In the current scene, mixed methods also play a key role as a growing area of research methods. In this way, within sections one and two, the reader is given an overview of Volume 1 of this collection. Sections two and three of this chapter review Volumes 2 and 3 (realist methods, and empirical examples, respectively). Section four reviews the epistemological theme that is at the core of Volume 4. This introduction thus roughly parallels the contents of the rest of the volumes. (shrink)

How professions should be defined and separated from other occupations has constituted an enduring theoretical and empirical problem in studies of the professions. In this article, the definitions of the so-called list approaches, involving enumerations of social attributes, are scrutinized. Weak-nesses are highlighted and analysed. It is argued that an alternative approach to the issue of definition, commencing from the epistemic or cognitive dimensions of professions, may be more fruitful. One such possibility is presented by setting out from realist philosophy (...) of science. The links between science and profession are explored by addressing, primarily, the relation between the concepts of mechanism and intervention. A new, ‘invariant’ definition is proposed. In conclusion, a few consequences for future empirical studies of the professions are outlined. (shrink)