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  1. Blinding and the Non-interference Assumption in Medical and Social Trials.David Teira - 2013 - Philosophy of the Social Sciences 43 (3):358-372.
    This paper discusses the so-called non-interference assumption (NIA) grounding causal inference in trials in both medicine and the social sciences. It states that for each participant in the experiment, the value of the potential outcome depends only upon whether she or he gets the treatment. Drawing on methodological discussion in clinical trials and laboratory experiments in economics, I defend the necessity of partial forms of blinding as a warrant of the NIA, to control the participants’ expectations and their strategic interactions (...)
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  • Data and phenomena: a restatement and defense.James F. Woodward - 2011 - Synthese 182 (1):165-179.
    This paper provides a restatement and defense of the data/ phenomena distinction introduced by Jim Bogen and me several decades ago (e.g., Bogen and Woodward, The Philosophical Review, 303–352, 1988). Additional motivation for the distinction is introduced, ideas surrounding the distinction are clarified, and an attempt is made to respond to several criticisms.
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  • Robust evidence and secure evidence claims.Kent W. Staley - 2004 - Philosophy of Science 71 (4):467-488.
    Many philosophers have claimed that evidence for a theory is better when multiple independent tests yield the same result, i.e., when experimental results are robust. Little has been said about the grounds on which such a claim rests, however. The present essay presents an analysis of the evidential value of robustness that rests on the fallibility of assumptions about the reliability of testing procedures and a distinction between the strength of evidence and the security of an evidence claim. Robustness can (...)
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  • Data quality, experimental artifacts, and the reactivity of the psychological subject matter.Uljana Feest - 2022 - European Journal for Philosophy of Science 12 (1):1-25.
    While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being studied, this paper takes a broader stance on this concept. I argue that reactivity is a ubiquitous feature of the psychological subject matter and that this fact is a precondition of experimental research, while also posing potential problems for the experimenter. The latter are connected to the worry about distorted data and experimental artifacts. But what are (...)
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  • Artificiality, Reactivity, and Demand Effects in Experimental Economics.Maria Jimenez-Buedo & Francesco Guala - 2016 - Philosophy of the Social Sciences 46 (1):3-23.
    A series of recent debates in experimental economics have associated demand effects with the artificiality of the experimental setting and have linked it to the problem of external validity. In this paper, we argue that these associations can be misleading, partly because of the ambiguity with which “artificiality” has been defined, but also because demand effects and external validity are related in complex ways. We argue that artificiality may be directly as well as inversely correlated with demand effects. We also (...)
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  • What Counts as Scientific Data? A Relational Framework.Sabina Leonelli - 2015 - Philosophy of Science 82 (5):810-821.
    This paper proposes an account of scientific data that makes sense of recent debates on data-driven and ‘big data’ research, while also building on the history of data production and use particularly within biology. In this view, ‘data’ is a relational category applied to research outputs that are taken, at specific moments of inquiry, to provide evidence for knowledge claims of interest to the researchers involved. They do not have truth-value in and of themselves, nor can they be seen as (...)
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  • Infra-Experimentality: From Traces to Data, from Data to Patterning Facts.Hans-Jörg Rheinberger - 2011 - History of Science 49 (3):337-348.
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  • (1 other version)Reactivity in Social Scientific experiments: What is it and how is it different (and worse) than a Placebo effect?María Jiménez-Buedo - 2021 - European Journal of Philosophy of Science 11 (2): 1-22.
    Reactivity, or the phenomenon by which subjects tend to modify their behavior in virtue of their being studied upon, is often cited as one of the most important difficulties involved in social scientific experiments, and yet, there is to date a persistent conceptual muddle when dealing with the many dimensions of reactivity. This paper offers a conceptual framework for reactivity that draws on an interventionist approach to causality. The framework allows us to offer an unambiguous definition of reactivity and distinguishes (...)
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  • Towards a Contextual Approach to Data Quality.Stefano Canali - 2020 - Data 4 (5):90.
    In this commentary, I propose a framework for thinking about data quality in the context of scientific research. I start by analyzing conceptualizations of quality as a property of information, evidence and data and reviewing research in the philosophy of information, the philosophy of science and the philosophy of biomedicine. I identify a push for purpose dependency as one of the main results of this review. On this basis, I present a contextual approach to data quality in scientific research, whereby (...)
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  • Data, epistemic values, and multiple methods in case study research.Julie Zahle - 2019 - Studies in History and Philosophy of Science Part A 78:32-39.
    Case Study research is characterized by the employment of multiple data gathering methods. In this paper, I examine the concurrent use of participant observation and qualitative interviews. The question I examine is: what is the rationale behind their combination in case study research? In the literature on case study research, the two most common reasons for using multiple methods appeal to comprehensiveness and convergent confirmation respectively. I argue that there is a third significant, yet overlooked, way to motivate the joint (...)
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  • Reactivity in measuring depression.Rosa W. Runhardt - 2021 - European Journal for Philosophy of Science 11 (3):1-22.
    If a human subject knows they are being measured, this knowledge may affect their attitudes and behaviour to such an extent that it affects the measurement results as well. This broad range of effects is shared under the term ‘reactivity’. Although reactivity is often seen by methodologists as a problem to overcome, in this paper I argue that some quite extreme reactive changes may be legitimate, as long as we are measuring phenomena that are not simple biological regularities. Legitimate reactivity (...)
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  • Objective data sets in qualitative research.Julie Zahle - 2020 - Synthese 199 (1-2):101-117.
    Qualitative researchers sometimes talk about objectivity in relation to qualitative data sets. In this paper, I defend a reconstructed notion of objective qualitative data sets that may serve as a useful and reachable guiding ideal in qualitative data generation. In the first part of the paper, I develop the ideal. According to it, a qualitative data set is objective to the extent that it, in conjunction with true assumptions, possesses a combination of good-making features in virtue of which the data (...)
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  • Blinding and the Non-interference Assumption in Medical and Social Trials.Julie Zahle - 2013 - Philosophy of the Social Sciences 43 (3):358-372.
    This paper discusses the so-called non-interference assumption (NIA) grounding causal inference in trials in both medicine and the social sciences. It states that for each participant in the experiment, the value of the potential outcome depends only upon whether she or he gets the treatment. Drawing on methodological discussion in clinical trials and laboratory experiments in economics, I defend the necessity of partial forms of blinding as a warrant of the NIA, to control the participants’ expectations and their strategic interactions (...)
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  • The Last Dictator Game? Dominance, Reactivity, and the Methodological Artefact in Experimental Economics.María Jiménez-Buedo - 2015 - International Studies in the Philosophy of Science 29 (3):295-310.
    The Dictator Game, one of the best-known designs in experimental social science, has been extensively criticized, and declared by some to be defunct, on the grounds that its results are the product of a research artefact. Critics of the DG argue that the behaviour observed in the game is not the outcome of genuine pro-social preferences but must, instead, be interpreted as a response to the cues given by the experimental design, where these cues signal that the game is about (...)
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