Reproducibility of Experiments: Experimenters' Regress, Statistical Uncertainty Principle, and the Replication Imperative July 2016 DOI: 10.1002/9781118865064.ch4

21 Feb 2013 But, we tested it? Didn't we? Earlier reports of the Boeing 787 lithium battery initial development indicated that Boeing engineers had

After completing her psychology degree at the Goethe-Universität in Frankfurt (1994), she worked for a couple of years as a researcher in an interdisciplinary project at a Frankfurt-based research institute (Institut für Sozial-Oekologische Forschung), before taking set and the experimenters’ regress for social research on the cultures of science. Acknowledgements We thank all those who participated in this research and the ESRC Stem Cell Programme who funded grant no: RES-340-25-0003. References Kitzinger, J. & Williams, C. (2005) Forecasting science futures: legitimising hope and I respond to H. M. Collins's claim (1985, 1990, 1993) that experimental inquiry cannot be objective because the only criterium experimentalists have for determining whether a technique is "working" the Experimenters’ Regress. We then show how Tswett in fact broke the Regress by way 3 See Collins (1985), Collins (1994), Culp (1995), Franklin (1994), and Radder (1992) for early work on the Experimenters’ Regress. See Norton (2003), Norton (2011), and Norton (forthcoming) for details on the Material Theory of Induction.

Cognitive bias affects experiments, and experiments determine which theory is valid. In science, Experimenter's regress refers to a loop of dependence between theory and evidence. I will first show that two different, albeit related epistemic problems are confused in the Experimenters’ Regress: (i) the replication regress that consists in the occurrence of an infinite regress when judging whether or not a proper replication of an experiment has been carried out, and (ii) general reciprocity, according to which the determination of the proper functioning of an experiment and the correctness of an experimental outcome are determined reciprocally. This chapter describes the experimenters' regress, a problem that scientists face when they try to replicate experiments. It shows itself where repeatability is used to settle scientific controversies. Harry Collins’ central argument about experimental practice revolves around the thesis that facts can only be generated by good instruments but good instruments can only be recognized as such if This is an instance of what Harry Collins called the experimenter’s regress. In developing a new instrument or method, experimenters rely on an array of theory and tacit knowledge.

Experimenters' regress: A challenge to the standard view of experiments; An objective way for testing theories and hypotheses; B ased on the observation that experiments are difficult; N o criterion, other than the outcome, that indicates whether the difficulties have been overcome

Didn't we? Earlier reports of the Boeing 787 lithium battery initial development indicated that Boeing engineers had Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Regression and Other Stories (Analytical Methods for Social Research). 19 Aug 2020 These results were corroborated by a multiple regression where both were taken through a step-by-step task instruction by the experimenter.

2002-03-01 · The experimenters' regress: from skepticism to argumentation 1. Sextus Empiricus, Montaigne and the experimenters' regress. Skepticism has a long history, going back to the Greeks ( 2. Finding a way out. A lot of arguments were put forward by seventeenth-century philosophers to invalidate

Romina Zuppone. Perspectives on Science (2016) 25 (1): 95–123. Abstract We argue that Tswett’s experiments established that his technique was reliable in the special case of chlorophyll without relying on either a theory or a standard calibration experiment. We suggest that Tswett broke the experimenters’ regress by appealing to material facts in the common ground for chemists at the time.

Det leder helt enkelt till en oändlig regress. could have produced sudden and multiple mutations of the kind achieved today by experimenters . This is a kind of regress into a controlled lack of control.
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The Experimenter's Regress is a form of Catch 22 at the heart of 2016-08-01 2020-08-12 Abstract. Harry Collins is well known for both his skepticism concerning experimental results and evidence and for what he calls the “experimenters’ regress,” the view that a correct outcome is one obtained with a good experimental apparatus, whereas a good experimental apparatus is one that gives the correct outcome. H. Collins has challenged the empiricist understanding of experimentation by identifying what he thinks constitutes the experimenter’s regress: an instrument is deemed good … I will first show that two different, albeit related epistemic problems are confused in the Experimenters’ Regress: (i) the replication regress that consists in the occurrence of an infinite regress when judging whether or not a proper replication of an experiment has been carried out, and (ii) general reciprocity, according to which the determination of the proper functioning of an experiment and the correctness … In his influential book, "Changing Order", H.M. Collins puts forward the following three claims concerning experimental replication.

An. ever ongoing slightly amusing, but mostly 13 aug. 2019 — experimenters.
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Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Regression and Other Stories (Analytical Methods for Social Research).

In science, experimenter's regress refers to a loop of dependence between theory and evidence. In order to judge whether evidence is erroneous we must rely on theory-based expectations, and to judge the value of competing theories we rely on evidence.

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By empirical examination of what he calls the ”experimenters’ regress,” he seeks to show that the nature of experiments as ”skillful practice” means that an attempted replication always leads to the necessity for yet further experimental tests to confirm the quality of each experiment in the chain.

In order to judge whether evidence is erroneous we must rely on theory-based expectations, and to judge the value of competing theories we rely on evidence, but to detect errors in experiments we must be aware of theoretical predictions, etc. Cognitive Summary. This chapter describes the experimenters' regress, a problem that scientists face when they try to replicate experiments. It shows itself where repeatability is used to settle scientific controversies.

In science, Experimenter's regress refers to a loop of dependence between theory and evidence. In order to judge whether evidence is erroneous we must rely on theory-based expectations, and to judge the value of competing theories we rely on evidence, but to detect errors in experiments we must be aware of theoretical predictions, etc. Cognitive

A lot of arguments were put forward by seventeenth-century philosophers to invalidate This is what Collins calls the experimenters’ regress. For Collins, scientific controversies cannot be closed by the ‘facts’ themselves because there are no formal criteria independent of the on reproduction. In chapter three, I present Collins’ Experimenters' regress as I understand it work the best. In chapter four, I propose an initial and conceptual way out from the regress, one that appeals to the theoretical components that are necessary to understanding experimental practice and the constitution of experimental results. 2013-03-27 · In a classic example of experimenter’s regress when Boeing engineers subsequently planned their type test program they weren’t explicitly looking for other causal factors for a battery fire because their theory informed them that only battery overcharging might cause a fire (1).

2002-03-01 This chapter describes the experimenters' regress, a problem that scientists face when they try to replicate experiments. It shows itself where repeatability is used to settle scientific The experimenters' regress reconsidered: Replication, tacit knowledge, and the dynamics of knowledge generation. Feest U (1).