An important strategy in the discovery of biological mechanisms involves the piecing together of experimental results from interventions. However, if mechanisms are investigated by means of ideal interventions, as defined by James Woodward and others, then the kind of information revealed is insufficient to discriminate between modular and non-modular causal contributions. Ideal interventions suffice for constructing webs of causal dependencies that can be used to make some predictions about experimental outcomes, but tell us little about how causally relevant factors are (...) organized together and how they interact with each other in order to produce a phenomenon. I argue that lab research relies on more elaborated types of interventions targeting in a controlled fashion multiple variables at the same time in order to probe the temporal organization of causally-relevant factors along distinct causal pathways and to test for non-modular interaction effects, thus providing crucial spatial-temporal constraints guiding the formulation of more detailed mechanistic explanations. (shrink)

This work is a clear, jargon-free introduction to the practice and theory of critical realism in the social sciences. The book emphasises the importance of concept formation, and suggests techniques for this in the social sciences. Methodological principles are presented as part of a practical model for an explanatory social science. In order to relate theory and empirical observations, the authors stress developing and applying abstract theories of social structures and mechanisms. The book reveals that the question is not what (...) type of method is best, but rather what different methods can do, and how can they be combined. (shrink)

Realism and Social Science offers an authoritative guide to critical realism and an assessment of its virtues in comparison with other leading traditions in social science. It is illustrated throughout with relevant and accessible examples.

In _Abductive Analysis_, Iddo Tavory and Stefan Timmermans provide a new navigational map for constructing empirically based generalizations in qualitative research. They outline an accessible way to think about observations, methods, and theories that nurtures theory-formation without locking it into predefined conceptual boxes. The authors view research as continually moving back and forth between a set of observations and theoretical generalizations. To craft theory is to then pitch one’s observations in relation to other potential cases, both within and without one’s (...) field. The book provides novel ways to approach the challenges that plague qualitative researchers across the social sciences—how to think about the relation between methods and theories, how to conceptualize causality, how to construct axes of variation, and how to leverage the researcher’s community of inquiry. _Abductive Analysis_ is a landmark work that shows how a pragmatist approach provides a more productive and fruitful way to conduct qualitative research. (shrink)

In this paper, we examine what is to be said in defence of Machamer, Darden and Craver’s (MDC) controversial dualism about activities and entities (Machamer, Darden and Craver’s in Philos Sci 67:1–25, 2000). We explain why we believe the notion of an activity to be a novel, valuable one, and set about clearing away some initial objections that can lead to its being brushed aside unexamined. We argue that substantive debate about ontology can only be effective when desiderata for an (...) ontology are explicitly articulated. We distinguish three such desiderata. The first is a more permissive descriptive ontology of science, the second a more reductive ontology prioritising understanding, and the third a more reductive ontology prioritising minimalism. We compare MDC’s entities-activities ontology to its closest rival, the entities-capacities ontology, and argue that the entities-activities ontology does better on all three desiderata. (shrink)

How regular do mechanisms need to be, in order to count as mechanisms? This paper addresses two arguments for dropping the requirement of regularity from the definition of a mechanism, one motivated by examples from the sciences and the other motivated by metaphysical considerations regarding causation. I defend a broadened regularity requirement on mechanisms that takes the form of a taxonomy of kinds of regularity that mechanisms may exhibit. This taxonomy allows precise explication of the degree and location of regular (...) operation within a mechanism, and highlights the role that various kinds of regularity play in scientific explanation. I defend this regularity requirement in terms of regularity’s role in individuating mechanisms against a background of other causal processes, and by prioritizing mechanisms’ ability to serve as a model of scientific explanation, rather than as a metaphysical account of causation. It is because mechanisms are regular, in the expanded sense described here, that they are capable of supporting the kinds of generalizations that figure prominently in scientific explanations. (shrink)

Inferences like these are known as extrapolations.

Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.

The aim of this article is to elucidate the notions of explanation and mechanism, in particular of the social kind. A mechanism is defined as what makes a concrete system tick, and it is argued that to propose an explanation proper is to exhibit a lawful mechanism. The so-called covering law model is shown to exhibit only the logical aspect of explanation: it just subsumes particulars under universals. A full or mechanismic explanation involves mechanismic law statements, not purely descriptive ones (...) such as functional relations and rate equations. Many examples from the natural, biosocial, and social sciences are examined. In particular, macro-micro-micro-macro social relations are shown to explain other wise puzzling macro-macro links. The last part of the article relates the author's progress, over half a century, toward understanding mechanism and explanation. (shrink)

We argue that the health sciences make causal claims on the basis of evidence both of physical mechanisms, and of probabilistic dependencies. Consequently, an analysis of causality solely in terms of physical mechanisms or solely in terms of probabilistic relationships, does not do justice to the causal claims of these sciences. Yet there seems to be a single relation of cause in these sciences - pluralism about causality will not do either. Instead, we maintain, the health sciences require a theory (...) of causality that unifies its mechanistic and probabilistic aspects. We argue that the epistemic theory of causality provides the required unification. (shrink)

This article deals with mechanisms conceived as composed of entities and activities. In response to many perplexities about the nature of activities, a number of arguments are developed concerning their epistemic and ontological status. Some questions concerning the relations between cause and causal explanation and mechanisms are also addressed.

The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.

I reduce activities to properties, where properties include causal powers. Activities are manifestations of causal powers. Activities occur when an entity’s causal powers encounter partners for their manifestation. Given this reduction of activities to properties, entities and properties are all we need for an ontology of mechanisms.

I consider recent strategies proposed by econometricians for extrapolating causal effects from experimental to target populations. I argue that these strategies fall prey to the extrapolator’s circle: they require so much knowledge about the target population that the causal effects to be extrapolated can be identified from information about the target alone. I then consider comparative process tracing as a potential remedy. Although specifically designed to evade the extrapolator’s circle, I argue that CPT is unlikely to facilitate extrapolation in typical (...) econometrics and evidence-based policy applications. To argue this, I offer a distinction between two kinds of extrapolation, attributive and predictive, the latter being prevalent in econometrics and evidence-based policy. I argue that CPT is not helpful for predictive extrapolation when using the kinds of evidence that econometricians and evidence-based policy researchers prefer. I suggest that econometricians may need to consider qualitative evidence to overcome this problem. (shrink)

Russo and Williamson claim that establishing causal claims requires mechanistic and difference-making evidence. In this article, I will argue that Russo and Williamson's formulation of their thesis is multiply ambiguous. I will make three distinctions: mechanistic evidence as type vs object of evidence; what mechanism or mechanisms we want evidence of; and how much evidence of a mechanism we require. I will feed these more precise meanings back into the Russo–Williamson thesis and argue that it is both true and false: (...) two weaker versions of the thesis are worth supporting, while the stronger versions are not. Further, my distinctions are of wider concern because they allow us to make more precise claims about what kinds of evidence are required in particular cases. (shrink)

Evidence-based medicine (EBM) makes use of explicit procedures for grading evidence for causal claims. Normally, these procedures categorise evidence of correlation produced by statistical trials as better evidence for a causal claim than evidence of mechanisms produced by other methods. We argue, in contrast, that evidence of mechanisms needs to be viewed as complementary to, rather than inferior to, evidence of correlation. In this paper we first set out the case for treating evidence of mechanisms alongside evidence of correlation in (...) explicit protocols for evaluating evidence. Next we provide case studies which exemplify the ways in which evidence of mechanisms complements evidence of correlation in practice. Finally, we put forward some general considerations as to how the two sorts of evidence can be more closely integrated by EBM. (shrink)

Now acknowledged as a classic in the philosophy of science, A Realist Theory of Science is one of the very few books to transform not only our understanding of science, but that of the nature of the world it studies. The book has inspired the multi-disciplinary and international movement of thought known as critical realism. Re-issued with a new introduction.

With In Search of Mechanisms, Carl F. Craver and Lindley Darden offer both a descriptive and an instructional account of how biologists discover mechanisms. Drawing on examples from across the life sciences and through the centuries, Craver and Darden compile an impressive toolbox of strategies that biologists have used and will use again to reveal the mechanisms that produce, underlie, or maintain the phenomena characteristic of living things. They discuss the questions that figure in the search for mechanisms, characterizing the (...) experimental, observational, and conceptual considerations used to answer them, all the while providing examples from the history of biology to highlight the kinds of evidence and reasoning strategies employed to assess mechanisms. At a deeper level, Craver and Darden pose a systematic view of what biology is, of how biology makes progress, of how biological discoveries are and might be made, and of why knowledge of biological mechanisms is important for the future of the human species. (shrink)

In this book Mark Bevir and Jason Blakely set out to make the most comprehensive case yet for an 'interpretive' or hermeneutic approach to the social sciences. Interpretive approaches are a major growth area in the social sciences today. This is because they offer a full-blown alternative to the behavioralism, institutionalism, rational choice, and other quasi-scientific approaches that dominate the study of human behavior. In addition to presenting a systematic case for interpretivism and a critique of scientism, Bevir and Blakely (...) also propose their own uniquely 'anti-naturalist 'notion of an interpretive approach. This anti-naturalist framework encompasses the insights of philosophers ranging from Michel Foucault and Hans-Georg Gadamer to Charles Taylor and Ludwig Wittgenstein, while also resolving dilemmas that have plagued rival philosophical defenses of interpretivism. In addition, working social scientists are given detailed discussions of a distinctly interpretive approach to methods and empirical research. The book draws on the latest social science to cover everything from concept formation and empirical inquiry to ethics, democratic theory, and public policy. An anti-naturalist approach to interpretive social science offers nothing short of a sweeping paradigm shift in the study of human beings and society. This book will be of interest to all who seek a humanistic alternative to the scientism that overwhelms the study of human beings today. (shrink)

Mechanisms are said to consist of two kinds of components, entities and activities. In the first half of this chapter, I examine what entities and activities are, how they relate to well-known ontological categories, such as processes or dispositions, and how entities and activities relate to each other (e.g., can one be reduced to the other or are they mutually dependent?). The second part of this chapter analyzes different criteria for individuating the components of mechanisms and discusses how real the (...) boundaries of mechanisms are. (shrink)

Research design is fundamentally central to all scientific endeavors, at all levels and in all institutional settings. This book is a practical, short, simple, and authoritative examination of the concepts and issues in interpretive research design, looking across this approach's methods of generating and analyzing data. It is meant to set the stage for the more "how-to" volumes that will come later in the Routledge Series on Interpretive Methods, which will look at specific methods and the designs that they require. (...) It will, however, engage some very practical issues, such as ethical considerations and the structure of research proposals. Interpretive research design requires a high degree of flexibility, where the researcher is more likely to think of "hunches" to follow than formal hypotheses to test. Yanow and Schwartz-Shea address what research design is and why it is important, what interpretive research is and how it differs from quantitative and qualitative research in the positivist traditions, how to design interpretive research, and the sections of a research proposal and report. (shrink)

John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material and a thorough treatment of essential elements such as conceptualization, measurement, causality and research design. It is written for students, long-time practitioners and methodologists and covers both qualitative and quantitative methods. It synthesizes the (...) vast and diverse field of methodology in a way that is clear, concise and comprehensive. While offering a handy overview of the subject, the book is also an argument about how we should conceptualize methodological problems. Thinking about methodology through this lens provides a new framework for understanding work in the social sciences. (shrink)

A realist, powers‐based metaphysics is very much on the table in contemporary metaphysics, and is beginning to take hold in philosophy of mind and philosophy of science. On this picture, causality is (roughly) a matter of the powers that things have to effect change(s) in other things. The realist view is at odds with every version of Humeanism, according to all of which causation is not, in the end, about the exercise of powers, but rather, in one way or another, (...) about regular sequences. The chapter has two parts. In the first part the chapter considers how it is that analytic philosophers of social science have been able thus far to side‐step the critique of Humeanism. In the second part, the chapter considers how analytic philosophy of social science might look different, were Humeanism no longer to be its tacit metaphysics. (shrink)

The book provides a practical guide to the application of Critical Realism (CR), an increasingly popular philosophy of social science, in empirical research projects. Each purpose-written chapter reviews major social science research methods and contains extended illustration of how to conduct inquiry using CR.