How has sociology framed places of knowledge production and what is the specific power of the laboratory for this history? This article looks in three steps at how sociology and Science and Technology Studies (STS) have historically framed the world as laboratory. First, in early sociology, the laboratory was an important metaphor to conceive of sociology as a scientific enterprise. In the 1950s, the trend reversed and with the emergence of a ‘qualitative sociology’, sociology was seen in opposition to laboratory (...) work. With the ascent of laboratory studies, the laboratory perspective was again applied to many fields, including sociology itself. Based on a definition of a laboratory as aiming at placeless knowledge and being inconsequential this article argues that the two waves of laboratorization were metaphorical and did not really turn the world into a laboratory. Instead, two alternative concepts, those of the unilatory and the locatory, are proposed to gain a more precise understanding of some of these metaphorical uses of the term ‘laboratory’. (shrink)

These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2018.

There are many important methodological decisions that need to be made when examining emotional reactivity in psychopathology. In the present study, we examined the effects of two such decisions in an investigation of emotional reactivity in depression: (1) which (if any) comparison condition to employ; and (2) how to define change. Depressed (N = 69) and control (N = 37) participants viewed emotion-inducing film clips while subjective and facial responses were measured. Emotional reactivity was defined using no comparison condition (i.e., (...) raw scores), baseline comparison condition (i.e., no stimulus presented), and neutral comparison condition (i.e., neutral stimulus presented). Change in emotional reactivity was assessed using four analytic approaches: difference scores, percentage change, residualised change, and ANCOVA. Results differed among the three comparison conditions and among several of the analytic approaches. Overall, our investigation suggests that choosing a comparison condition and the definition of change can significantly influence the presence of group differences in emotional reactivity. Recommendations for studies of emotional reactivity in psychopathology are discussed. (shrink)

While first-person methods are essential for a science of consciousness, it is controversial what form these methods should take and whether any such methods are reliable. I propose that first-person experiments are a reliable method for investigating conscious experience. I outline the history of these methods and describe their characteristics. In particular, a first-person experiment is an intervention on a subject's experience in which independent variables are manipulated, extraneous variables are held fixed, and in which the subject makes a phenomenal (...) judgement about the target experience of the investigation. I examine historical and contemporary examples of first-person experiments: Mariotte’s demonstration of the visual blind spot, Kanizsa’s subjective contours, the Tse Illusion, and investigations of the non-uniform resolution of the visual field. I discuss the role that phenomenal contrast plays in these methods, and how they overcome typical introspective errors. I argue that their intersubjective repeatability is an important factor in their scientific status, however, it is not the only factor. That they control for extraneous factors and confounds is another factor which sets them apart from pseudoscience (e.g., the perception of auras), and hence another reason for classifying them as genuine experiments. Furthermore, by systematically mapping out the structure of visual experience, these methods make scientific progress. Praises of such first-person experimental approaches may not always be sung by philosophers and psychologists, but they continue to flourish as respectable scientific methods nevertheless. (shrink)

Investing in research is a long-term, risky proposition. In agriculture, it could take fifteen years or more for a research finding to show an improvement in a farmer’s field. Yet, research institutions, like other organizations it needs to be evaluated. For more than twenty years, independent panels of outside experts have evaluated each of the international research centers that the Consultative Group of International Agricultural Research (CGIAR) supports. This paper examines the evolution of this review system, outlines the key methodological (...) challenges faced, and draws lessons for others engaged in evaluating research institutions. It notes that the scope of the CGIAR reviews have been broadened over time in response to users’ concerns. Reviews now cover four dimensions of performance: research results, quality and relevance of research, vision and strategic directions, and management efficiency. The methodological challenges faced in measurement, valuation, and attribution are reviewed, along with practices found to be helpful in addressing these concerns. The paper concludes that the panel approach to institutional evaluation has served CGIAR’s needs well, and recommends it as an evaluation technique for integrating quantitative and qualitative dimensions of institutional performance. (shrink)

Reliability and external validity are two fundamental values that pose incompatible constraints on neurobiological experiments. The more reliability an experimental result achieves, the less external validity it earns, and vice versa. In this article, I propose an externalist interpretation of external validity: the external validity of an experimental result depends not only on how much complexity is built into an experimental design, but also on the relationship between the experimental result and other related experiments. This externalist interpretation, which explains how (...) a neurobiological experiment can be reliable and externally valid simultaneously, suggests a new way to understand the epistemology of neurobiological experimentation. (shrink)

Deception is common in the marketplace where individuals pursue self-interests from their perspectives. Extant research suggests that perspective-taking, a cognitive process of putting oneself in other’s situation, increases consumers’ ethical tolerance for marketers’ deceptive behaviors. By contrast, the current research demonstrates that consumers who take the dishonest marketers’ perspective become less tolerant of deception when consumers’ moral self-awareness is high. This effect is driven by moral self-other differentiation as consumers contemplate deception from the marketers’ perspective: high awareness of the “moral (...) self” motivates consumers to distance themselves from the “immoral other.” The findings shed new light on how self-morality can vicariously shape social consideration in ethical judgments. (shrink)

The purpose of this research report is twofold: First, we analyze a complex of attitudes about rape myths, adversarial sexual beliefs, and gender-role conservatism; and second, we evaluate the impact of rape-education intervention strategies on American college students' attitudes. Using the Solomon four-group design, we randomly assigned 14 classes of Sociology 101 students to three different treatment conditions: a live rape-education workshop, a video of the workshop, and a control group. We found significant gender differences in students' attitudes on all (...) the scales, with women being more knowledgeable about rape, less likely to blame the victim, and less accepting of adversarial sexual beliefs and gender-role conservatism. Most important, we found that within the limits of the study, rape-education intervention works in changing some attitudes about rape for both men and women students. We examine the impact of the different educational strategies and explore curricular implications, including the need to teach about rape within a feminist context. (shrink)

Skepticism toward the existence of neonatal differential imitation is fostered by views that assign it an excessive significance, making it foundational for social cognition. Moreover, a misleading theoretical framework may generate unwarranted expectations about the kinds of findings experimentalists are supposed to look for. Hence we propose a theoretical analysis that may help experimentalists address the empirical question of whether early differential imitation really exists. We distinguish three models of early imitation. The first posits automatic visuo-motor links evolved for sociocognitive (...) functions and we call it Genetically Programmed Direct Matching. The second is Meltzoff and Moore’s Active Intermodal Matching, which postulates a comparison between the acts of self and other. The third is the alternative we propose and we call it “Association by Similarity Theory”, as it relies on the tacit functioning of this domain-general process. AST describes early imitation merely as the differential induction or elicitation of behaviors that already tend to occur spontaneously. We focus on the contrast between AIM and AST, and argue that AST is preferable to AIM for two reasons. First, AST is more parsimonious and more plausible, especially because it does not require infants to be able to recognize self-other similarities. Second, whereas the extant findings tend to disqualify AIM, AST can account for them adequately. Furthermore, we suggest that AST has the potential to give new impulse to empirical research because it discriminates promising lines of inquiry from unproductive ones. (shrink)

How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...) ethical framework for the acceptability of such experiments is developed based on the bioethical principles for experiments with human subjects: non-maleficence, beneficence, respect for autonomy, and justice. This provides a handle for the moral and regulatory assessment of new technologies and their impact on society. (shrink)

Accounting ethics failures have seized headlines and cost investors billions of dollars. Improvement of the ethical reasoning and behavior of accountants has become a key concern for the accounting profession and for higher education in accounting. Researchers have asked a number of questions, including what type of accounting ethics education intervention would be most effective for accounting students. Some researchers have proposed virtue ethics as an appropriate moral framework for accounting. This research tested whether Smithian virtue ethics training, based on (...) Adam Smith’s “The Theory of Moral Sentiments”, is effective in improving accounting student’s cognitive moral development. This research used a pre-test, treatment, post-test, quasi-experimental design utilizing the Defining Issues Test 2 instrument to measure students’ CMD. Analysis of DIT-2 gain scores did show a significant improvement in subjects’ personal interest scores and a significant improvement in an overall measure of CMD, the DIT N2 index, whereas their DIT-2 post-conventional scores did not improve significantly. This research supports the proposition that the concepts contained in Smithian virtue ethics can contribute to an effective accounting ethics education intervention. However, further research is required to determine what concepts should be included to improve accounting students’ post-conventional moral reasoning. (shrink)

Computer simulations show that an unstructured neural-network model [Shultz, T. R., & Bale, A. C. (2001). Infancy, 2, 501–536] covers the essential features␣of infant learning of simple grammars in an artificial language [Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999). Science, 283, 77–80], and generalizes to examples both outside and inside of the range of training sentences. Knowledge-representation analyses confirm that these networks discover that duplicate words in the sentences are nearly identical and that they (...) use this near-identity relation to distinguish sentences that are consistent or inconsistent with a familiar grammar. Recent simulations that were claimed to show that this model did not really learn these grammars [Vilcu, M., & Hadley, R. F. (2005). Minds and Machines, 15, 359–382] confounded syntactic types with speech sounds and did not perform standard statistical tests of results. (shrink)

Recent interest in the external validity of prediction models has produced many methods for finding predictive distributions that are invariant to dataset shifts and can be used for prediction in new, unseen environments. However, these methods consider different types of shifts and have been developed under disparate frameworks, making it difficult to theoretically analyze how solutions differ with respect to stability and accuracy. Taking a causal graphical view, we use a flexible graphical representation to express various types of dataset shifts. (...) Given a known graph of the data generating process, we show that all invariant distributions correspond to a causal hierarchy of graphical operators, which disable the edges in the graph that are responsible for the shifts. The hierarchy provides a common theoretical underpinning for understanding when and how stability to shifts can be achieved, and in what ways stable distributions can differ. We use it to establish conditions for minimax optimal performance across environments, and derive new algorithms that find optimal stable distributions. By using this new perspective, we empirically demonstrate that that there is a tradeoff between minimax and average performance. (shrink)

External validity is typically regarded as the downside of case study research by methodologists and social scientists; case studies, however, are often aimed at drawing lessons that are generalizable to new contexts. The gap between the generalizability potential of case studies and the research goals demands closer scrutiny. I suggest that the conclusion that case study research is weak in external validity follows from a set of assumptions that I term the "traditional view," which are disputable at best. In this (...) view, external validity is treated as a matter of mere representativeness. I argue that it is best understood instead as a problem of inference and that the emphasis should be placed on the comparability of the study rather than on the typicality of the case. By making case studies highly comparable, their external validity can be reliably and efficiently assessed and, in this way, their generalizability potential enhanced. (shrink)

A shared problem across the sciences is to make sense of correlational data coming from observations and/or from experiments. Arguably, this means establishing when correlations are causal and when they are not. This is an old problem in philosophy. This paper, narrowing down the scope to quantitative causal analysis in social science, reformulates the problem in terms of the validity of statistical models. Two strategies to make sense of correlational data are presented: first, a 'structural strategy', the goal of which (...) is to model and test causal structures that explain correlational data; second, a 'manipulationist or interventionist strategy', that hinges upon the notion of invariance under intervention. It is argued that while the former can offer a solution the latter cannot. (shrink)

The responses of a convenience sample of 83 secondary preservice and preeducation students in three university classes were compared to each other and to a national sample of 1,492 adults on a national poll of science knowledge. The results of the data analyses using simple ANOVA and two-tailed t tests indicated that preservice secondary science teachers in a secondary science methods class are significantly more science literate than preeducation majors and the na tional sample. They were not significantly more science (...) literate than preservice and in-service science teachers in an environmental science methods class. Chemistry majors were significantly more science lit erate than other science and health majors. Additional comparisons between males and females, graduates and undergraduates, and older and younger (younger than 28) students indicated males, graduates, and older students are significantly more science literate than females, undergraduates, and younger students. (shrink)

Studies of knowledge utilization in public policy-making have important practical and theoretical implications. Accordingly, a voluminous work has been done on understanding and explaining the process of knowledge utilization (see Rich and Oh, 1993). However, we can easily find that there is the conspicuous absence of a greatly expanded understanding of the use of knowledge from those studies (Mandell and Sauter, 1984). Taken as a whole, empirical studies in the area of knowledge utilization have suffered from several critical problems (see (...) Rich, 1991; Oh, 1996a). More importantly, there appears to be serious conceptual and methodological gaps which need to be filled. This article focuses on one of the most significant methodological problems: measuring “knowledge utilization” from an evaluation perspective and offers some suggestions for future studies. (shrink)

In this paper I look at causality in the context of intervention research, and discuss some problems faced in the evaluation of causal hypotheses via interventions. I draw attention to a simple problem for evaluations that employ randomized controlled trials. The common alternative to randomized trials, the observational study, is shown to face problems of a similar nature. I then argue that these problems become especially acute in cases where the intervention is complex (i.e. that involves intervening in a complex (...) system). Finally, I consider and reject a possible resolution of the problem involving the simulation of complex interventions. The conclusion I draw from this is that we need to radically reframe the way we think about causal inference in complex intervention research. (shrink)

Francesco Guala once wrote that ‘The problem of extrapolation is a minor scandal in the philosophy of science’. This paper agrees with the statement, but for reasons different from Guala’s. The scandal is not, or not any longer, that the problem has been ignored in the philosophy of science. The scandal is that framing the problem as one of external validity encourages poor evidential reasoning. The aim of this paper is to propose an alternative—an alternative which constitutes much better evidential (...) reasoning about target systems of interest, and which makes do without consideration of external validity. (shrink)

In The Poverty of Historicism, Karl Popper attacked a number of anti?naturalistic doctrines while advocating a program of piecemeal social reform. However, recent work in social science, and especially in the evaluation of social programs and social reforms, has exposed difficulties that have led many scientists to fall back on one or other of these same anti?naturalistic positions. It is suggested that Popper's strategy for dealing with anti?naturalism is no longer efficacious, although the difficulties in contemporary social science do not (...) warrant the abandonment of naturalism. (shrink)

Insecticide resistance management (IRM) programme was launched in 26 cotton-growing districts of India in 2002 to rationalize the use of pesticides. The IRM strategy is presented within a full Integrated Pest Management (IPM) context with the premise that unless full-fledged efforts to understand all aspects of resistance phenomenon are made, any attempt to implement IPM at field level would not bear results. Unlike earlier IPM programmes, this programme is directly implemented by the scientists of state agricultural universities; thus the information (...) flow is directly from research subsystem to farmers. The extension methodology is different from IPM-farmer field school model, but much the same information is provided in didactic form, through active participation of the farmers throughout the cotton-growing season, by deploying scouts in villages. The knowledge gain of the farmers covered under IRM programme was measured by employing before/after quasi-experimental research design. The overall knowledge gain was significant in terms of identification of insect pests and natural enemies of cotton crop, proper use of insecticides and timely sowing of the crop, but farmers did not reach the desired level of knowledge with respect to other cultural practices, which result in suppression of pest buildup. In the absence of any effective bio-agents, the level of IPM integration is limited to cultural practices, thresholds, agro ecosystem analysis and use of insecticides according to good agricultural practices. (shrink)

BACKGROUND: Representing is about theories and theory formation. Philosophy of science has a long-standing interest in representing. At least since Ian Hacking's modern classic Representing and Intervening analytical philosophers have struggled to combine that interest with a study of the roles of intervention studies. With few exceptions this focus of philosophy of science has been on physics and other natural sciences. In particular, there have been few attempts to analyse the use of the notion of intervention in other disciplines where (...) intervention studies are important, such as in nursing research. One unintended consequence of this is that the relations between representing and intervening tend to be less understood outside the natural sciences. OBJECTIVES AND DESIGN: This article highlights a number of possible topics on which nursing science and analytic philosophy of science can fruitfully interact. The basic idea is simple. Building on a characterisation of interventions in terms of what is intervened on and with respect to what, we suggest that interventions in nursing research typically are a blend of varieties belonging to the three dimensions of agency, epistemology, and ontology. The details of the blend determine the relation of the particular intervention study to traditional representational categories such as inductivism and hypothetico-deductive method, and have a bearing on its explanatory power and other more theory independent features of research as well. The framework we suggest should be relevant for nurse researchers who want to adopt a more general and analytically entrenched perspective on representing and intervening than the methodological boundaries in nursing research typically allow. (shrink)

Recent advances in causal reasoning have given rise to a computational model that emulates the process by which humans generate, evaluate, and distinguish counterfactual sentences. Contrasted with the “possible worlds” account of counterfactuals, this “structural” model enjoys the advantages of representational economy, algorithmic simplicity, and conceptual clarity. This introduction traces the emergence of the structural model and gives a panoramic view of several applications where counterfactual reasoning has benefited problem areas in the empirical sciences.

Allan Franklin has identified a number of strategies that scientists use to build confidence in experimental results. This paper shows that Franklin's strategies have direct analogues in the context of computer simulation and then suggests that one of his strategies—the so-called 'Sherlock Holmes' strategy—deserves a privileged place within the epistemologies of experiment and simulation. In particular, it is argued that while the successful application of even several of Franklin's other strategies (or their analogues in simulation) may not be sufficient for (...) justified belief in results, the successful application of a slightly elaborated version of the Sherlock Holmes strategy is sufficient. (shrink)

Publicity may be considered “covert marketing” when the audience believes the message was created by an independent source rather than the product marketer. We focus on one form of publicity—video news releases —which are packaged video segments created and provided for free by a third party to the news organization. VNRs are usually shown without source disclosure. In study one, viewers’ beliefs about and perceptions of credibility in a news story are altered when they acquire persuasion knowledge about VNRs and (...) learn that the source of the story was an unedited VNR. Study two results show similar patterns despite the fact that source disclosure of the story was provided on screen. Importantly, the perceived ethics of VNRs impact perceptions of credibility. (shrink)

Research on whistle-blowing has been hampered by a lack of a sound theoretical base. In this paper, we draw upon existing theories of motivation and power relationships to propose a model of the whistle-blowing process. This model focuses on decisions made by organization members who believe they have evidence of organizational wrongdoing, and the reactions of organization authorities. Based on a review of the sparse empirical literature, we suggest variables that may affect both the members' decisions and the organization's responses.

Methodology is often a point of contention in gender-based salary studies. Although this debate seems at first to be merely about technical issues, it also has an important conceptual dimension. We argue that there are two competing implicit conceptions of discrimination, one institutional and the other individual, that underlie many such debates. We first contrast the preferred methodologies advanced by each side, the policy capturing approach and the flagging approach, and explore the theoretical meaning of their statistical models. We then (...) describe a practical application of both methodological approaches in one specific salary inequity study. In conclusion, we reflect on the implications of such practical statistical choices, discuss how such models can be combined, and make suggestions for sociologists who act as statistical experts or work with them in gender-based salary inequity studies on their own campuses. (shrink)

This study explored relations between willingness to disclose in 5 psychotherapy scenarios and 2 independent variables. Scenarios involved suicidal, gravely disabled, physically abusive, and sexually abusive patients, and a police officer patient who shot a suspect. For each of the 5 scenarios, participants in the privilege condition had significantly higher willingness-to-disclose scores than participants in the no-privilege condition. There were no significant differences between willingness-to-disclose scores of participants with and without therapy experience; neither was there a significant interaction between privilege (...) condition and therapy experience. Privilege condition was more predictive of willingness to disclose than personal characteristics or therapy experience. Results provide empirical support for the U.S. Supreme Court's recognition of the psychotherapist-patient privilege in Jaffee v. Redmond. (shrink)

The linguistic and cognitive sciences have severely underestimated the degree of linguistic diversity in the world. Part of the reason for this is that we have projected assumptions based on English and familiar languages onto the rest. We focus on some distortions this has introduced, especially in the study of semantics.

In this paper the use value of qualitative research findings to nurses in practice is questioned. More precisely it is argued that, insofar as action follows belief then, in all but the rarest of cases, the beliefs that nurses in practice can justifiably derive from or form on the basis of qualitative research findings do not sanction action in the world and the assumption, apparently widely held, that qualitative research can as evidence productively inform practice collapses. If qualitative research does (...) not have a substantive action guiding potential then, in consequence, three conclusions are permitted. First, regarding the requirement that nurses ground actions on evidence, regulators should redraft methodologically neutral or permissive guidelines to specify the sorts of research evidence that can serve this function. Second, qualitative methodologies should receive less prominence in nurse education programmes. Third, qualitative researchers should make it clear that their work cannot inform practice. Alternatively, if this claim is advanced the process by which this is to be achieved should be explicitly stated. (shrink)

Previous studies have offered a rationale for engaging students in small-group student talk for the planning of L2 individual writing. To further investigate whether such talk effectively promotes the quality of argument in the context of Chinese tertiary EFL learners’ argumentative writing and whether such effects could be retained, the current study adopted a quasi-experimental design with a pretest, a posttest, and a delayed posttest in two intact EFL classes. The performance of the intervention group and the comparison group were (...) scrutinized to examine the effects of the intervention. The analytic scores on six components of the writing task and the holistic writing scores cumulated of all these components were measured to see the immediate and sustained effects. Significant changes of the holistic scores in both the immediate posttest and the delayed posttest indicated that such small-group student talk enabled students in the treatment class to achieve better performance in the overall quality of argumentation compared with those in the comparison class. Statistical analyses revealed immediate and sustained effects of small-group student talk on the quality of counterargument claim, counterargument data, and rebuttal claim. Counterargument claim was the only element in which students in both classes made significant improvement, but the treatment class demonstrated a larger effect size. No discernible differences were found either between or within the treatment class and the comparison class with respect to the quality of claim, data, and rebuttal data across tests. Possible explanations concerning the findings and limitations of the study were discussed. (shrink)

In the biomedical, behavioural and social sciences, the leading method used to estimate causal effects is commonly randomised controlled trials (RCTs) that are generally viewed as both the source and justification of the most valid evidence. In studying the foundation and theory behind RCTs, the existing literature analyses important single issues and biases in isolation that influence causal outcomes in trials (such as randomisation, statistical probabilities and placebos). The common account of biased causal inference is described in a general way (...) in terms of probabilistic imbalances between trial groups. This paper expands the common account of causal bias by distinguishing between the range of biases arising between trial groups but also within one of the groups or across the entire sample during trial design, implementation and analysis. This is done by providing concrete examples from highly influential RCT studies. In going beyond the existing RCT literature, the paper provides a broader, practice-based account of causal bias that specifies the between-group, within-group and across-group biases that affect the estimated causal results of trials – impacting both the effect size and statistical significance. Within this expanded framework, we can better identify the range of different types of biases we face in practice and address the central question about the overall validity of the RCT method and its causal claims. A study can face several smaller biases (related simultaneously to a smaller sample, smaller estimated effect, greater unblinding etc.) that generally add up to greater aggregate bias. Though difficult to measure precisely, it is important to assess and provide information in studies on how much different sources of bias, combined, can explain the estimated causal effect. The RCT method is thereby often the best we have to inform our policy decisions – and the evidence is strengthened when combined with multiple studies and other methods. Yet there is room for continually improving trials and identifying ways to reduce biases they face and to increase their overall validity. Implications are discussed. (shrink)

There are many methodological considerations that adversely affect external validity as much as, or even more than, unrepresentative sampling does. Among suspect applications, especially worrisome is the incorporation of WEIRD-based findings regarding moral reasoning and retribution into normative expectations, such as might be held by international criminal tribunals in war-torn areas.