Despite the widespread use of key concepts of the Neyman–Pearson (N–P) statistical paradigm—type I and II errors, significance levels, power, confidence levels—they have been the subject of philosophical controversy and debate for over 60 years. Both current and long-standing problems of N–P tests stem from unclarity and confusion, even among N–P adherents, as to how a test's (pre-data) error probabilities are to be used for (post-data) inductive inference as opposed to inductive behavior. We argue that the relevance of error probabilities (...) is to ensure that only statistical hypotheses that have passed severe or probative tests are inferred from the data. The severity criterion supplies a meta-statistical principle for evaluating proposed statistical inferences, avoiding classic fallacies from tests that are overly sensitive, as well as those not sensitive enough to particular errors and discrepancies. Introduction and overview 1.1 Behavioristic and inferential rationales for Neyman–Pearson (N–P) tests 1.2 Severity rationale: induction as severe testing 1.3 Severity as a meta-statistical concept: three required restrictions on the N–P paradigm Error statistical tests from the severity perspective 2.1 N–P test T(): type I, II error probabilities and power 2.2 Specifying test T() using p-values Neyman's post-data use of power 3.1 Neyman: does failure to reject H warrant confirming H? Severe testing as a basic concept for an adequate post-data inference 4.1 The severity interpretation of acceptance (SIA) for test T() 4.2 The fallacy of acceptance (i.e., an insignificant difference): Ms Rosy 4.3 Severity and power Fallacy of rejection: statistical vs. substantive significance 5.1 Taking a rejection of H0 as evidence for a substantive claim or theory 5.2 A statistically significant difference from H0 may fail to indicate a substantively important magnitude 5.3 Principle for the severity interpretation of a rejection (SIR) 5.4 Comparing significant results with different sample sizes in T(): large n problem 5.5 General testing rules for T(), using the severe testing concept The severe testing concept and confidence intervals 6.1 Dualities between one and two-sided intervals and tests 6.2 Avoiding shortcomings of confidence intervals Beyond the N–P paradigm: pure significance, and misspecification tests Concluding comments: have we shown severity to be a basic concept in a N–P philosophy of induction? (shrink)

I examine, from Mayo's severe testing perspective, the case found in the Intergovernmental Panel on Climate Change fourth report for the claim that increases in anthropogenic greenhouse gas concentrations caused most of the post-1950 global warming. My examination begins to provide an alternative to standard, probabilistic assessments of OUR FAULT. It also brings out some of the limitations of variety of evidence considerations in assessing this and other hypotheses about the causes of climate change, and illuminates the epistemology (...) of optimal fingerprinting studies. Finally, it shows that some features of Mayo's perspective should be kept in whatever approach is preferred for assessing hypotheses about the causes of climate change. (shrink)

Considerable methodological difficulties abound in neuroimaging, and several philosophers of science have recently called into question the potential of neuroimaging studies to contribute to our knowledge of human cognition. These skeptical accounts suggest that functional hypotheses are underdetermined by neuroimaging data. I apply Mayo’s error-statistical account to clarify the evidential import of neuroimaging data and the kinds of inferences it can reliably support. Thus, we can answer the question “What can we reliably learn from neuroimaging?” and make sense of how (...) this knowledge can contribute to novel construals of cognition. (shrink)

Considerable methodological difficulties abound in neuroimaging, and several philosophers of science have recently called into question the potential of neuroimaging studies to contribute to our knowledge of human cognition. These skeptical accounts suggest that functional hypotheses are underdetermined by neuroimaging data. I apply Mayo’s error-statistical account to clarify the evidential import of neuroimaging data and the kinds of inferences it can reliably support. Thus, we can answer the question “What can we reliably learn from neuroimaging?” and make sense of how (...) this knowledge can contribute to novel construals of cognition. (shrink)

While many philosophers of science have accorded special evidential significance to tests whose results are "novel facts", there continues to be disagreement over both the definition of novelty and why it should matter. The view of novelty favored by Giere, Lakatos, Worrall and many others is that of use-novelty: An accordance between evidence e and hypothesis h provides a genuine test of h only if e is not used in h's construction. I argue that what lies behind the intuition that (...) novelty matters is the deeper intuition that severe tests matter. I set out a criterion of severity akin to the notion of a test's power in Neyman-Pearson statistics. I argue that tests which are use-novel may fail to be severe, and tests that are severe may fail to be use-novel. I discuss the 1919 eclipse data as a severe test of Einstein's law of gravity. (shrink)

This essay presents a unified account of safety, sensitivity, and severe testing. S’s belief is safe iff, roughly, S could not easily have falsely believed p, and S’s belief is sensitive iff were p false S would not believe p. These two conditions are typically viewed as rivals but, we argue, they instead play symbiotic roles. Safety and sensitivity are both valuable epistemic conditions, and the relevant alternatives framework provides the scaffolding for their mutually supportive roles. The relevant (...) alternatives condition holds that a belief is warranted only if the evidence rules out relevant error possibilities. The safety condition helps categorise relevant from irrelevant possibilities. The sensitivity condition captures ‘ruling out’. Safety, sensitivity, and the relevant alternatives condition are typically presented as conditions on warranted belief or knowledge. But these properties, once generalised, help characterise other epistemic phenomena, including warranted inference, legal verdicts, scientific claims, reaching conclusions, addressing questions, warranted assertion, and the epistemic force of corroborating evidence. We introduce and explain Mayo’s severe testing account of statistical inference. A hypothesis is severely tested to the extent it passes tests that probably would have found errors, were they present. We argue Mayo’s account is fruitfully understood using the resulting relevant alternatives framework. Recasting Mayo’s condition using the conceptual framework of contemporary epistemology helps forge fruitful connections between two research areas—philosophy of statistics and the analysis of knowledge—not currently in sufficient dialogue. The resulting union benefits both research areas. (shrink)

Regression testing is applied whenever a code changes, ensuring that the modifications fixed the fault and no other faults are introduced. Due to a large number of test cases to be run, test case prioritization is one of the strategies that allows to run the test cases with the highest fault rate first. The aim of the paper is to present an optimized test case prioritization method inspired by ant colony optimization, test case prioritization–ANT. The criteria used by the (...) optimization algorithm are the number of faults not covered yet by the selected test cases and the sum of severity of the faults. The cost, i.e. time execution, for test cases is considered in the computation of the pheromone deposited on the graph’s edges. The average percentage of fault detected metric, as best selection criterion, is used to uncover maximum faults with the highest severity, and reducing the regression testing time. Several experiments are considered, detailed and discussed, comparing various algorithm parameter’s alternatives. A benchmark project is also used to validate the proposed approach. The obtained results are encouraging, being a cornerstone for new perspectives to be considered. (shrink)

It is sometimes held that facts confirm a hypothesis only if they were not used in the construction of that hypothesis. This requirement of "use novelty" introduces a historical aspect into the assessment of evidence claims. I examine a methodological principle invoked by physicists in the experimental search for the top quark that bears a striking resemblance to this view. However, this principle is better understood, both historically and philosophically, in terms of the need to conduct a severe test (...) than in terms of use novelty. Nevertheless, a historical factor remains in the assessment of some evidence claims. (shrink)

It is sometimes held that facts confirm a hypothesis only if they were not used in the construction of that hypothesis. This requirement of "use novelty" introduces a historical aspect into the assessment of evidence claims. I examine a methodological principle invoked by physicists in the experimental search for the top quark that bears a striking resemblance to this view. However, this principle is better understood, both historically and philosophically, in terms of the need to conduct a severe test (...) than in terms of use novelty. Nevertheless, a historical factor remains in the assessment of some evidence claims. (shrink)

For model-based frequentist statistics, based on a parametric statistical model ${{\cal M}_\theta }$, the trustworthiness of the ensuing evidence depends crucially on the validity of the probabilistic assumptions comprising ${{\cal M}_\theta }$, the optimality of the inference procedures employed, and the adequateness of the sample size to learn from data by securing –. It is argued that the criticism of the postdata severity evaluation of testing results based on a small n by Rochefort-Maranda is meritless because it conflates [a] (...) misuses of testing with [b] genuine foundational problems. Interrogating this criticism reveals several misconceptions about trustworthy evidence and estimation-based effect sizes, which are uncritically embraced by the replication crisis literature. (shrink)

Severity of Test (SoT) is an alternative to Popper's logical falsification that solves a number of problems of the logical view. It was presented by Popper himself in 1963. SoT is a less sophisticated probabilistic model of hypothesis testing than Oaksford & Chater's (O&C's) information gain model, but it has a number of striking similarities. Moreover, it captures the intuition of everyday hypothesis testing.

My aim in this paper is to show how the problem of inflated effect sizes corrupts the severity measure of evidence. This has never been done. In fact, the Winner’s Curse is barely mentioned in the philosophical literature. Since the severity score is the predominant measure of evidence for frequentist tests in the philosophical literature, it is important to underscore its flaws. It is also crucial to bring the philosophical literature up to speed with the limits of classical testing. (...) The Winner’s Curse is one of them. The problem is that when a significant result is obtained by using an underpowered test, the severity score becomes particularly high for large discrepancies from the null-hypothesis. This means that such discrepancies are very well supported by the evidence according to that measure. However, it is now well documented that significant tests with low power display inflated effect sizes. They systematically show departures from the null hypothesis H0 that are much greater than they really are. From an epistemological point of view this means that a significant result produced by an underpowered test does not provide evidence for large discrepancies from H0. Therefore, the severity score is an inadequate measure of evidence. Given that we are now aware of the phenomenon of inflated effect sizes, it would be irresponsible to rely on the severity score to measure the strength of the evidence against the null. Instead, one must take appropriate measures to try and avoid using underpowered tests by setting a threshold for the sample size or by replicating the results of the experiment. (shrink)

Through the use of Bayesian probability theory and Communication theory, a formal mathematical model of a Churchmanian Dialectical Inquirer is developed. The Dialectical Inquirer is based on Professor C. West Churchman's novel interpretation and application of Hegelian dialectics to decision theory. The result is not only the empirical application of dialectical inquiry but also its empirical (i.e., scientific) investigation. The Dialectical Inquirer is seen as especially suited to problems in strategic policy formation and in decision theory. Finally, specific application of (...) the inquirer is made to Popper's notions for ‘The Test of Severity’ of a scientific theory. (shrink)

Viebahn (2018) has recently argued that several tests for ambiguity, such as the conjunction-reduction test, are not reliable as tests for polysemy, but only as tests for homonymy. I look at the more fine-grained distinction between regular and irregular polysemy and I argue for a more nuanced conclusion: the tests under discussion provide systematic evidence for homonymy and irregular polysemy but need to be used with more care to test for regular polysemy. I put this conclusion at work in the (...) context of the debate over the alleged referential-attributive ambiguity of the definite article. In reply to various criticisms, defenders of the ambiguity view argue that this is a case of polysemy. But opponents object that the dual use of the definite article fails tests for ambiguity. The debate seems to have come to stalemate, unless the relevance of the tests is determined for cases of alleged polysemy. I conclude that the balance of considerations incline towards rejecting the ambiguity thesis. (shrink)

A large body of research shows that emotionally significant stimuli are better stored in memory. One question that has received much less attention is how emotional memories are influenced by factors that influence memories after the initial encoding of stimuli. Intriguingly, several recent studies suggest that post-encoding factors do not differ in their effects on emotional and neutral memories. However, to date, only detrimental factors have been addressed. In the present study, we examined whether emotionally negative memories are differentially influenced (...) by a well-known beneficial factor: the testing of memories. We employed a standard cued recall testing-effect paradigm where participants studied cue-target pairs for negative and neutral target pictures. In a subsequent post-encoding phase, one third of the cue-target pairs were tested and one third restudied; the remaining third served as control pairs. After one week, memory for all cue-target pairs was tested. While replicating both the testing effect and the emotional enhancement effect, no differences between negative and neutral memories in the benefits received from testing and restudying were observed. Thus, it seems to be true that post-encoding factors do not influence emotional memories in any other way than neutral memories, even when they are beneficial. (shrink)

. Software testing is a very important phase in the development of software. Testing includes the generation of test cases which, if done manually, is time consuming. To automate this process and generate optimal test cases, several meta-heuristic techniques have been developed. These approaches include genetic algorithm, cuckoo search, tabu search, intelligent water drop, etc. This paper presents an effective approach for test data generation using the cuckoo search and tabu search algorithms. It combines the cuckoo algorithm's strength (...) of converging to the solution in minimal time along with the tabu mechanism of backtracking from local optima by Lévy flight. The experimental results show that the algorithm is effective in generating test cases optimally and its performance is better than various earlier proposed approaches. (shrink)

A family of familiar linguistic tests purport to help identify when a term is ambiguous. These tests are philosophically important: a familiar philosophical strategy is to claim that some phenomenon is disunified and its accompanying term is ambiguous. The tests have been used to evaluate disunification proposals about causation, pain, and knowledge, among others. -/- These ambiguity tests, however, have come under fire. It has been alleged that the tests fail for polysemy, a common type of ambiguity, and one that (...) is at issue in philosophically interesting cases. Furthermore, the objection that the tests fail for polysemy is often taken to be an undeniable bit of linguistic data. -/- We argue that this is mistaken. The objection implicitly relies on controversial assumptions about how to account for copredicational sentences, in which a single argument is ascribed prima facie incompatible properties. Furthermore, on several viable theories of copredication, the objection fails. However, our discussion also reveals that even if ambiguity tests are preserved, they may be significantly harder to execute than previously thought. (shrink)

This paper follows the history of an object. The purpose of doing so is to come to terms with a distinctive kind of research object – which we are calling a ‘test object’ – as well as to chronicle a significant line of research and technology development associated with the broader nanoscience/nanotechnology movement. A test object is one of a family of epistemic things that makes up the material culture of laboratory science. Depending upon the case, it can have variable (...) shadings of practical, mathematical and epistemic significance. Clear cases of test objects have highly regular and reproducible visible properties that can be used for testing instruments and training novices. The test object featured in this paper is the silicon 7×7, a particular surface configuration of silicon atoms. Research on this object over a period of several decades has been closely bound up with the development of novel instruments for visualizing atomic structures. Despite having little direct commercial value, the Si 7×7 also has been a focal object for the formation of a research community bridging industry and academia. It exhibits a complex structure that became a sustained focus of observation and modelling. Our study follows shifts in the epistemic status of the Si 7×7, and uses it to re-examine familiar conceptions of representation and observation in the history, philosophy and social study of science. (shrink)

Within legal scholarship and practice, among the most pervasive tasks is the interpretation of texts. And within legal interpretation, perhaps the most pervasive inquiry is the search for “ordinary meaning.” Jurists often treat ordinary meaning analysis as an empirical inquiry, aiming to discover a fact about how people understand language. When evaluating ordinary meaning, interpreters rely on dictionary definitions or patterns of common usage, increasingly via “legal corpus linguistics” approaches. However, the most central question about these popular methods remains open: (...) Do they reliably reflect ordinary meaning? This Article presents a series of experiments that assess whether (a) dictionary definitions and (b) common usage data reflect (c) how people actually understand language today. -/- The Article elaborates the implications of two main experimental results. First, neither the dictionary nor legal corpus linguistics methods reliably track ordinary people’s judgments about meaning. This shifts the argumentative burden to jurists who rely on these tools to identify “ordinary meaning” or “original public meaning”: these views must articulate and demonstrate a reliable method of analysis. Moreover, this divergence illuminates several interpretive fallacies. For example, advocates of legal corpus linguistics often contend that the nonappearance of a specific use in a corpus indicates that the use is not part of the relevant term’s ordinary meaning. The experiments reveal this claim to be a “Nonappearance Fallacy.” Ordinary meaning exceeds datasets of common usage — even very large ones. -/- Second, dictionary and legal corpus linguistics verdicts diverge dramatically from each other. Part of that divergence is explained by the finding that broad dictionary definitions tend to direct interpreters to extensive interpretations, while data of common usage tends to point interpreters to more prototypical cases. This suggests two different criteria that are often relevant in interpretation: a more extensive criterion and a more narrow, prototypical criterion. Although dictionaries and corpus linguistics might, in some cases, help us identify these criteria, a hard legal-philosophical question remains: Which of these two criteria should guide the interpretation of terms and phrases in legal texts? Insofar as there is no compelling case to prefer one, the results suggest that dictionary definitions, legal corpus linguistics, or even other more scientific measures of meaning may not be equipped in principle to deliver simple and unequivocal answers to inquiries about the so-called “ordinary meaning” of legal texts. (shrink)

The LIGO-Virgo Collaboration achieved the first ‘direct detection’ of gravitational waves in 2015, opening a new “window” for observing the universe. Since this first detection (‘GW150914’), dozens of detections have followed, mostly produced by binary black hole mergers. However, the theory-ladenness of the LIGO-Virgo methods for observing these events leads to a potentially-vicious circularity, where general relativistic assumptions may serve to mask phenomena that are inconsistent with general relativity (GR). Under such circumstances, the fact that GR can ‘save the phenomena’ (...) may be an artifact of theory-laden methodology.This paper examines several ways that the LIGO-Virgo observations are used in theory and hypothesis testing, despite this circularity problem. First, despite the threat of vicious circularity, these experiments succeed in testing GR. Indeed, early tests of GR using GW150914 are best understood as a response to the threat of theory-ladenness and circularity. Each test searches for evidence that LIGO-Virgo’s theory-laden methods are biasing their overall conclusions. The failure to find evidence of this places constraints on deviations from the predictions of GR. Second, these observations provide a basis for studying astrophysical and cosmological processes, especially through analyses of populations of events. As gravitational-wave astrophysics transitions into mature science, constraints from early tests of GR provide a scaffolding for these population-based studies. I further characterize this transition in terms of its increasing connectedness to other parts of astrophysics and the prominence of reasoning about selection effects and other systematics in drawing inferences from observations.Overall, this paper analyses the ways that theory and hypothesis testing operate in gravitational-wave astrophysics as it gains maturity. In particular, I show how these tests build on one another in order to mitigate a circularity problem at the heart of the observations. (shrink)

We outline an unsupervised language acquisition algorithm and offer some psycholinguistic support for a model based on it. Our approach resembles the Construction Grammar in its general philosophy, and the Tree Adjoining Grammar in its computational characteristics. The model is trained on a corpus of transcribed child-directed speech (CHILDES). The model’s ability to process novel inputs makes it capable of taking various standard tests of English that rely on forced-choice judgment and on magnitude estimation of linguistic acceptability. We report encouraging (...) results from several such tests, and discuss the limitations revealed by other tests in our present method of dealing with novel stimuli. (shrink)

In clinical studies, it is important to investigate the effectiveness of different therapeutic designs, especially, multiple treatment groups to one control group. The paper mainly studies homogeneity test of many-to-one risk differences from correlated binary data under optimal algorithms. Under Donner’s model, several algorithms are compared in order to obtain global and constrained MLEs in terms of accuracy and efficiency. Further, likelihood ratio, score, and Wald-type statistics are proposed to test whether many-to-one risk differences are equal based on optimal algorithms. (...) Monte Carlo simulations show the performance of these algorithms through the total averaged estimation error, SD, MSE, and convergence rate. Score statistic is more robust and has satisfactory power. Two real examples are given to illustrate our proposed methods. (shrink)

This paper presents a new 'discontinuous' view of Popper's theory of corroboration, where theories cease to have corroboration values when new severe tests are devised which have not yet been performed, on the basis of a passage from The Logic of Scientific Discovery. Through subsequent analysis and discussion, a novel problem for Popper's account of corroboration, which holds also for the standard view, emerges. This is the problem of the Big Test : that the severest test of any hypothesis (...) is actually to perform all possible tests. But this means that Popper's demand for 'the severest tests' amounts simply to a demand for 'all possible tests'. The paper closes by considering how this bears on accommodation vs. prediction, with respect to corroboration. (shrink)

In this article we aim to assess the ethical desirability of self-test diagnostic kits for influenza, focusing in particular on the potential benefits and challenges posed by a new, mobile phone-based tool currently being developed by i-sense, an interdisciplinary research collaboration based at University College London and funded by the Engineering and Physical Sciences Research Council. Our study adopts an empirical ethics approach, supplementing an initial review into the ethical considerations posed by such technologies with qualitative data from three focus (...) groups. Overall, we map a range of possible considerations both for and against the use of such technologies, synthesizing evidence from a range of secondary literature, as well as identifying several new considerations previously overlooked. We argue that no single consideration marks these technologies as either entirely permissible or impermissible but rather tools which have the potential to incur certain costs and benefits, and that context is important in determining these. In the latter stages of the article, we explain how developers of such technologies might seek to mitigate such costs and reflect on the possible limitations of the empirical ethics method brought out during the study. Not applicable. (shrink)

The notion of a severe test has played an important methodological role in the history of science. But it has not until recently been analyzed in any detail. We develop a generally Bayesian analysis of the notion, compare it with Deborah Mayo’s error-statistical approach by way of sample diagnostic tests in the medical sciences, and consider various objections to both. At the core of our analysis is a distinction between evidence and confirmation or belief. These notions must be kept (...) separate if mistakes are to be avoided; combined in the right way, they provide an adequate understanding of severity. Those who think that the weight of the evidence always enables you to choose between hypotheses “ignore one of the factors (the prior probability) altogether, and treat the other (the likelihood) as though it ...meant something other than it actually does. This is the same mistake as is made by someone who has scruples about measuring the arms of a balance (having only a tape measure at his disposal ...), but is willing to assert that the heavier load will always tilt the balance (thereby implicitly assuming, although without admitting it, that the arms are of equal length!). (Bruno de Finetti, Theory of Probability)2. (shrink)

Despite its focus on consent the new Human Tissue Act 2004 allows for testing without consent where a relative could benefitIn recognition of the fact that genetic test results in people can have implications for close relatives, the new Human Tissue Act 2004 allows for a direction to access a person’s tissue so that testing can be carried out for the benefit of a relative, without the consent of that person. Clinical practice governed by common law and statute, (...) before this act, acknowledged that the disclosure, without consent, of the results of a genetic test, is ethically permissible in extreme situations for the benefit of a relative. New testing for the benefit of a relative without donor consent challenges the principle that informed or adequate consent should be obtained before a genetic test with considerable predictive powers is carried out. The debate surrounding the analogous situation of HIV testing concluded that in very rare cases, disclosure of an HIV result without consent may be justified, but testing without consent is a professional misconduct. This part of the legislation is controversial and deserves further debate. The Human Tissue Authority should take measures to limit the potential harm that can be caused by this provision.IntroductionAfter much debate, the new Human Tissue Act 2004 was passed by parliament in November 2004. Implementation of this act may be staggered, but it will be fully operational in May 2006. This act has several provisions that have implications in clinical practice for the use of stored tissue or samples containing cells. These provisions allow the Human Tissue Authority to permit access to human tissue for the purpose of obtaining scientific or medical information about a person for the benefit of another family member, without the consent of the donor . …. (shrink)

Two first-order logic theories are definitionally equivalent if and only if there is a bijection between their model classes that preserves isomorphisms and ultraproducts (Theorem 2). This is a variant of a prior theorem of van Benthem and Pearce. In Example 2, uncountably many pairs of definitionally inequivalent theories are given such that their model categories are concretely isomorphic via bijections that preserve ultraproducts in the model categories up to isomorphism. Based on these results, we settle several conjectures of Barrett, (...) Glymour and Halvorson. (shrink)

Ideas for explaining the mechanism of gravity involving the expansion of matter have been proposed several times since the 1890’s. Due to their radical nature and other reasons, these ideas have not gotten much attention. Another essential feature needed to augment the viability of the model proposed here---even more important than matter expansion---is that of space generation. I.e., the production of space by matter, involving motion into or outfrom a fourth spatial dimension. An experiment is proposed whose result would unequivocally (...) either falsify the model or support it. Analyses of star cluster velocity dispersions suggest that some support already exists. The simplest, most definitive way to test the model is to build and operate an apparatus that may be called a Small Low-Energy Non-Collider. Essentially the same experiment was proposed by Galileo in 1632. We are way overdue to at last bring to fruition this idea put forth by the Father of Modern Science so long ago. (shrink)

Variation, adaptation, heredity and fitness, constraints and affordances, speciation, and extinction form the building blocks of the (Neo-)Darwinian research program, and several of these have been called “Darwinian principles.” Here, we suggest that caution should be taken in calling these principles Darwinian because of the important role played by reticulate evolutionary mechanisms and processes in also bringing about these phenomena. Reticulate mechanisms and processes include symbiosis, symbiogenesis, lateral gene transfer, infective heredity mediated by genetic and organismal mobility, and hybridization. Because (...) the “Darwinian principles” are brought about by both vertical and reticulate evolutionary mechanisms and processes, they should be understood as foundational for a more pluralistic theory of evolution, one that surpasses the classic scope of the Modern and the Neo-Darwinian Synthesis. Reticulate evolution moreover demonstrates that what conventional (Neo-)Darwinian theories treat as intra-species features of evolution frequently involve reticulate interactions between organisms from very different taxonomic categories. Variation, adaptation, heredity and fitness, constraints and affordances, speciation, and extinction therefore cannot be understood as “traits” or “properties” of genes, organisms, species, or ecosystems because the phenomena are irreducible to specific units and levels of an evolutionary hierarchy. Instead, these general principles of evolution need to be understood as common goods that come about through interactions between different units and levels of evolutionary hierarchies, and they are exherent rather than inherent properties of individuals. (shrink)

This paper reports on a survey of auditors in New Zealand which investigates the nature of the moral judgements they make on a series of problems with ethical dimensions. The framework adopted for this purpose is developed from earlier work which identifies a range of ethical principles which may be involved in business ethical decision‐making. Auditors responded to a questionnaire which posed, firstly, several questions about the context of their ethical decision‐making, and secondly, a series of vignettes elaborating problematical dilemmas (...) which required the selection of one of four possible responses. Data was analysed to determine whether or not it confirmed previous findings in suggesting a predominant ethical orientation for auditors. The results were correlated with demographic variables in order to determine whether or not age, gender, position in firm and size of employee firm were significantly correlated to ethical response. The survey results, on the whole, confirmed the ethical orientation suggested by previous findings, but there were some unexpected results in three out of the ten vignettes examined. Although some correlations were found between the demographic variables and subject responses, the evidence of this survey does not strongly suggest a consistent significant correlation. (shrink)

This paper reports on a survey of auditors in New Zealand which investigates the nature of the moral judgements they make on a series of problems with ethical dimensions. The framework adopted for this purpose is developed from earlier work which identifies a range of ethical principles which may be involved in business ethical decision‐making. Auditors responded to a questionnaire which posed, firstly, several questions about the context of their ethical decision‐making, and secondly, a series of vignettes elaborating problematical dilemmas (...) which required the selection of one of four possible responses. Data was analysed to determine whether or not it confirmed previous findings in suggesting a predominant ethical orientation for auditors. The results were correlated with demographic variables in order to determine whether or not age, gender, position in firm and size of employee firm were significantly correlated to ethical response. The survey results, on the whole, confirmed the ethical orientation suggested by previous findings, but there were some unexpected results in three out of the ten vignettes examined. Although some correlations were found between the demographic variables and subject responses, the evidence of this survey does not strongly suggest a consistent significant correlation. (shrink)

Over the past decade, genetic tests have become available for a wide variety of disorders. As a result we are able to predict, with some degree of certainty, whether or not an individual will develop such diseases as breast cancer, Huntington's disease, polycystic kidney disease, and familial adenomatous polyposis. The ability to predict disease poses several unique ethical considerations for clinical decisionmaking regarding the provision of genetic testing. Patients must be able to comprehend the complexities of genetic testing (...) and the potential meaning of the results. Patients must consider the emotional, social, and economic consequences of revelations regarding their risk status. Also, obtaining information on risk status may have implications for persons other than the individual seeking genetic testing. (shrink)

This paper argues that clinicians are sometimes justified in not testing diagnoses or in not subjecting them to a full battery of tests. In deciding whether to conduct a test, a clinician may consider and weigh several different factors, including her confidence in her initial diagnosis, the specificity and sensitivity of the test, the consequences of making a false diagnosis, the pain, harm, and inconvenience caused by the test, and the costs of the test to the patient and society. (...) This view suggests that diagnoses are fundamentally different from scientific hypotheses in that they are not always subjected to the same evidential standards. (shrink)

Playtime in urban cities has become an indoor activity for children due to limited access to natural outdoor environments. This product of urbanization makes the case for the introduction of biophilic design. However, playrooms are often neglected as a possibility in designing a natural space indoors. Interior designers and other specialists lack a reliable tool to identify and incorporate biophilic features into the design of these indoor environments in urban settings. The Biophilic Interior Design Matrix (BID-M) developed by McGee and (...) Marshall-Baker quantifies 52 of Kellert’s biophilic design attributes to assess their presence and absence within interior spaces. We expanded its use by testing the matrix in a new type of space, urban playrooms, and coded images of 45 children’s playrooms within Manhattan residential buildings in New York City, including assessing a larger sample and reliability rate compared to McGee and Marshall-Baker’s research. Inter-rater reliability of the overall design matrix and individual matrix items was measured with percent agreement and free-marginal multirater kappa. Reliability testing showed overall good reliability of the overall design matrix. Several matrix items had low reliability between raters. Our findings show that the BID-M needs to be modified to better assess urban interior spaces for children. (shrink)

The crisis of replication has led many to blame statistical significance tests for making it too easy to find impressive looking effects that do not replicate. However, the very fact it becomes difficult to replicate effects when features of the tests are tied down actually serves to vindicate statistical significance tests. While statistical significance tests, used correctly, serve to bound the probabilities of erroneous interpretations of data, this error control is nullified by data-dredging, multiple testing, and other biasing selection (...) effects. Arguments claiming to vitiate statistical significance tests attack straw person variants of tests that commit well-known fallacies and misinterpretations. There is a tension between popular calls for preregistration – arguably, one of the most promising ways to boost replication – and accounts that downplay error probabilities: Bayes Factors, Bayesian posteriors, likelihood ratios. By underscoring the importance of error control for well testedness, the replication crisis points to reformulating tests so as to avoid fallacies and report the extent of discrepancies that are and are not indicated with severity. (shrink)