37,449 research outputs found
Between fallacy and feasibility? Dealing with the risk of ecological fallacies in the quantitative study of protest mobilization and conflict
In recent years, the quantitative study of conflict has increasingly focused on small-scale and/or localized conflicts in the developing world. In this paper, we analyze and critically reflect upon a major methodological shortcoming of many studies in this field of research. We argue that by using group- or macro-level empirical data and modelling techniques, while at the same time theoretically underpinning observed empirical associations with individual-level mechanisms, many of these studies risk committing an ecological fallacy. The individual-level mechanism on which many studies rely concerns the presence of grievances which mobilize people to participate in contentious politics. This motivational approach was also present in early studies on protest mobilization in Western societies, which often relied on similar research designs. However, subsequent advances in this literature and the use of methods that were targeted more directly at the individual level uncovered that grievances alone cannot explain mobilization and that organizational capabilities and complex psychological mechanisms of belonging also form part of the puzzle. While drawing on conflict events as well as survey data from Africa, we demonstrate empirically that here, as well, inferring micro-level relations and dynamics from macro-level empirical models can lead to erroneous interpretations and inferences. Hence, we argue that to improve our understanding of conflict mobilization in the developing world, especially for conflicts with low levels of violence, it is necessary to substantially expand our methodological toolbox beyond macro-level analyses
Health-Exposure Modelling and the Ecological Fallacy
Recently there has been increased interest in modelling the association between aggregate disease counts and environmental exposures measured, for example via air pollution monitors, at point locations. This paper has two aims: first we develop a model for such data in order to avoid ecological bias; second we illustrate that modelling the exposure surface and estimating exposures may lead to bias in estimation of health effects. Design issues are also briefly considered, in particular the loss of information in moving from individual to ecological data, and the at-risk populations to consider in relation to the pollution monitor locations. The approach is investigated initially through simulations, and is then applied to a study of the association between mortality in the over 65’s in the year 2000, and the previous year’s SO2, in London. We conclude that the use of the proposed model can provide valid inference, but the use of estimated exposures should be carried out with great caution
Citations: Indicators of Quality? The Impact Fallacy
We argue that citation is a composed indicator: short-term citations can be
considered as currency at the research front, whereas long-term citations can
contribute to the codification of knowledge claims into concept symbols.
Knowledge claims at the research front are more likely to be transitory and are
therefore problematic as indicators of quality. Citation impact studies focus
on short-term citation, and therefore tend to measure not epistemic quality,
but involvement in current discourses in which contributions are positioned by
referencing. We explore this argument using three case studies: (1) citations
of the journal Soziale Welt as an example of a venue that tends not to publish
papers at a research front, unlike, for example, JACS; (2) Robert Merton as a
concept symbol across theories of citation; and (3) the Multi-RPYS
("Multi-Referenced Publication Year Spectroscopy") of the journals
Scientometrics, Gene, and Soziale Welt. We show empirically that the
measurement of "quality" in terms of citations can further be qualified:
short-term citation currency at the research front can be distinguished from
longer-term processes of incorporation and codification of knowledge claims
into bodies of knowledge. The recently introduced Multi-RPYS can be used to
distinguish between short-term and long-term impacts.Comment: accepted for publication in Frontiers in Research Metrics and
Analysis; doi: 10.3389/frma.2016.0000
Crossing the interdisciplinary divide : political science and biological science
This article argues that interdisciplinary collaboration can offer significant intellectual gains to political science in terms of methodological insights, questioning received assumptions and providing new perspectives on subject fields. Collaboration with natural scientists has been less common than collaboration with social scientists, but can be intellectually more rewarding. Interdisciplinary work with biological scientists can be especially valuable given the history of links between the two subjects and the similarity of some of the methodological challenges faced. The authors have been involved in two projects with biological scientists and this has led them critically to explore issues relating to the philosophy of science, in particular the similarities and differences between social and natural science, focusing on three issues: the problem of agency, the experimental research design and the individualistic fallacy. It is argued that interdisciplinary research can be fostered through shared understandings of what constitutes 'justified beliefs'. Political science can help natural scientists to understand a more sophisticated understanding of the policy process. Such research brings a number of practical challenges and the authors explain how they have sought to overcome them
Ecological resilience in lakes and the conjunction fallacy
There is a pressing need to apply stability and resilience theory to environmental management to restore degraded ecosystems effectively and to mitigate the effects of impending environmental change. Lakes represent excellent model case studies in this respect and have been used widely to demonstrate theories of ecological stability and resilience that are needed to underpin preventative management approaches. However, we argue that this approach is not yet fully developed because the pursuit of empirical evidence to underpin such theoretically grounded management continues in the absence of an objective probability framework. This has blurred the lines between intuitive logic (based on the elementary principles of probability) and extensional logic (based on assumption and belief) in this field
Adam Smith’s Green Thumb and Malthus’ Three Horsemen: Cautionary tales from classical political economy
This essay identifies a contradiction between the flourishing interest in the environmental economics of the classical period and a lack of critical parsing of the works of its leading representatives. Its focus is the work of Adam Smith and Thomas Malthus. It offers a critical analysis of their contribution to environmental thought and surveys the work of their contemporary devotees. It scrutinizes Smith's contribution to what Karl Polanyi termed the "economistic fallacy," as well as his defenses of class hierarchy, the "growth imperative" and consumerism. It subjects to critical appraisal Malthus's enthusiasm for private property and the market system, and his opposition to market regulation. While Malthus's principal attraction to ecological economists lies in his having allegedly broadened the scope of economics, and in his narrative of scarcity, this article shows that he, in fact, narrowed the scope of the discipline and conceptualized scarcity in a reified and pseudo-scientific way
Macroeconomics, economic crisis and electoral outcomes: A national European pool
An abundance of comparative survey research argues the presence of economic voting as an individual force in European elections, thereby refuting a possible ecological fallacy. But the hypothesis of economic voting at the aggregate level, with macroeconomics influencing overall electoral outcomes, seems less sure. Indeed, there might be a micrological fallacy at work, with the supposed individual economic vote effect not adding up to a national electoral effect after all. Certainly that would account for the spotty evidence linking macroeconomics and national election outcomes. We examine the possibility of a micrological fallacy through rigorous analysis of a large time-series cross-sectional dataset of European nations. From these results, it becomes clear that the macroeconomy strongly moves national election outcomes, with hard times punishing governing parties, and good times rewarding them. Further, this economy-election connection appears asymmetric, altering under economic crisis. Indeed, we show that economic crisis, defined as negative growth, has much greater electoral effects than positive economic growth. Hard times clearly make governments more accountable to their electorates
Recovering Individual Data In The Presence Of Group And Individual Effects
The ecological fallacy of relating variables on the group level, when the individual-level relationship is desired, can only be avoided by using individual-level data. This paper gives some conditions for occasions when individual-level data can successfully be recovered from grouped data. Such a recovery is illustrated using data on urban or rural residence and participation or not in the labor force as an example. The conditions are given in terms of the distinction between individual-and group-level effects of one variable on another. Recovering individual data, on the one hand, and the study of individual and group-level effects, on the other hand, epresent two separate areas of thought that have received considerable attention. Here a link is made between the two lines of development to facilitate the recovery of individual-level data. Some consequences of the models for research design and recovery of historical data are explored
On proximity and hierarchy : exploring and modelling space using multilevel modelling and spatial econometrics
Spatial econometrics and also multilevel modelling techniques are increasingly part of the regional scientists‟ toolbox. Both approaches are used to model spatial autocorrelation in a wide variety of applications. However, it is not always clear on which basis researchers make a choice between spatial econometrics and spatial multilevel modelling. Therefore it is useful to compare both techniques. Spatial econometrics incorporates neighbouring areas into the model design; and thus interprets spatial proximity as defined in Tobler‟s first law of geography. On the other hand, multilevel modelling using geographical units takes a more hierarchical approach. In this case the first law of geography can be rephrased as „everything is related to everything else, but things in the same region are more related than things in different regions‟. The hierarchy (multilevel) and the proximity (spatial econometrics) approach are illustrated using Belgian mobility data and productivity data of European regions. One of the advantages of a multilevel model is that it can incorporate more than two levels (spatial scales). Another advantage is that a multilevel structure can easily reflect an administrative structure with different government levels. Spatial econometrics on the other hand works with a unique set of neighbours which has the advantage that there still is a relation between neighbouring municipalities separated by a regional boundary. The concept of distance can also more easily be incorporated in a spatial econometrics setting. Both spatial econometrics and spatial multilevel modelling proved to be valuable techniques in spatial research but more attention should go to the rationale why one of the two approaches is chosen. We conclude with some comments on models which make a combination of both techniques
Mind Matters
The great divide of modern thought is whether mind is real or naught. The conceit that either mind is reducible to matter or that mind is utterly ethereal is rooted in a mind-versus-matter dichotomy that can be characterized as the modern error, a fatally flawed fallacy rooted in the philosophy and culture of nominalism. A Peircean semiotic outlook, applied to an understanding of social life, provides a new and full-bodied understanding of semiosis as the bridge between mind and matter, and human biology and culture. I begin by first delineating the false divide and showing Charles Sanders Peirce’s alternative to it, then explore the implications of a semiotic approach to mind as trans-action, then consider the self-transcending nature of the human body-mind. Finally I outline my ecological, biosemiotic account of mind, which reveals that, indeed, mind matters, and in ways that unexpect-edly resemble the forms of animism that characterized the hunting-gathering foragers through whom we anatomically modern humans emerged
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