This paper revisits the debate between Harry Collins and Allan Franklin, concerning the experimenters’ regress. Focusing my attention on a case study from recent psychology (regarding experimental evidence for the existence of a Mozart Effect), I argue that Franklin is right to highlight the role of epistemological strategies in scientific practice, but that his account does not sufficiently appreciate Collins’s point about the importance of tacit knowledge in experimental practice. In turn, Collins rightly highlights the epistemic uncertainty (and skepticism) (...) surrounding much experimental research. However, I will argue that his analysis of tacit knowledge fails to elucidate the reasons why scientists often are (and should be) skeptical of other researchers’ experimental results. I will present an analysis of tacit knowledge in experimental research that not only answers to this desideratum, but also shows how such skepticism can in fact be a vital enabling factor for the dynamic processes of experimental knowledge generation. (shrink)

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 they produce facts. 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 outcome of the experiment that scientists can apply to decide whether an experimental apparatus works properly or not.No one (...) seems to have noticed that the debate is in fact a rehearsal of the ancient philosophical debate about skepticism. The present article suggests that the way out of radical skepticism offered by the so-called mitigated skeptics is a solution to the problem of consensus formation in science.Keywords: Argumentation; Skepticism; Sociology of science; Philosophy of science; Scientific controversies. (shrink)

In his influential book, "Changing Order", H.M. Collins puts forward the following three claims concerning experimental replication. (i) Replication is rarely practiced by experimentalists; (ii) replication cannot be used as an objective test of scientific knowledge claims, because of the occurrence of the so-called experimenters' regress; and (iii) stopping this regress at some point depends upon the enculturation in a local community of practitioners, who tacitly learn the relevant skills. In my paper I discuss and assess these claims (...) on the basis of a more comprehensive analysis of experimentation and experimental reproducibility. The main point is that Collins' claims are not, strictly speaking, wrong, but rather too one-sided and therefore inadequate. This point also calls for a reconsideration of the radical (social constructivist) conclusions that Collins has drawn from his studies of scientific experimentation. (shrink)

Despite the fact that reproduction of experiments by peers has traditionally been regarded as of the utmost importance in enabling the intersubjectivity of scientific practice, reproductions may yield discordant results and deciding which result should be favored may not be an easy task. According to Harry Collins, experimental disagreement is resolved by the action of social, political and economic factors, but not by means of epistemic and scientific, or so-called internal reasons. His motivation for such a claim is the presence (...) of an infinite regress at the core of experimental activity that, according to him, cannot be stopped with scientific resources alone: the experimenters’ regress. The goal of this... (shrink)

We propose a new account of calibration according to which calibrating a technique shows that the technique does what it is supposed to do. To motivate our account, we examine an early twentieth-century debate about chlorophyll chemistry and Mikhail Tswett’s use of chromatographic adsorption analysis to study it. 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. (shrink)

H. Collins has challenged the empiricist understanding of experimentation by identifying what he thinks constitutes the experimenter’s regress: an instrument is deemed good because it produces good results, and vice versa. The calibration of an instrument cannot alone validate the results: the regressive circling is broken by an agreement essentially external to experimental procedures. In response, A. Franklin has argued that calibration is a key reasonable strategy physicists use to validate production of results independently of their interpretation. The physicists’ (...) arguments about the merits of calibration are not coextensive with the interpretation of results, and thus an objective validation of results is possible. I argue, however, that the in-situ calibrating and measurement procedures and parameters at the Large Hadron Collider are closely and systematically interrelated. This requires empiricists to question their insistence on the independence of calibration from the outcomes of the experiment and rethink their position. Yet this does not leave the case of in-situ calibration open to the experimenter’s regress argument; it is predicated on too crude a view of the relationship between calibration and measurement that fails to capture crucial subtleties of the case. (shrink)

I will divide my discussion into two. In the first part I will discuss Godin and Gingras's delicious claim that the experimenter's regress is anticipated by Sextus Empiricus's formulation of scepticism. In the second part, I will try to deal with Godin and Gingras's ‘critical argument’, that the experimenter's regress would be redundant if we were less concerned with ‘frightening philosophers’.

We study experimentally in the laboratory the situation when individuals have to report their private information about a variable to a public authority that then makes inference about the true values given a known variable using a regression technique. It is assumed that individuals prefer this predicted value to be as close as possible to their true value. Consistent with the theoretical literature, we show that subjects misrepresent their private information more when an ordinary least squares regression is implemented than (...) when the so-called resistant line estimator is employed. The latter extends the median voter theorem to the two-dimensional setting and belongs to the family of robust estimation techniques. In fact, we find that OLS involves serious biases but the RL estimation is empirically unbiased. Furthermore, subjects never earn less when the RL is applied. (shrink)

Debiasing procedures are experimental methods aimed at correcting errors arising from the cognitive biases of the experimenter. We discuss two of these methods, the predesignation rule and randomization, showing to what extent they are open to the experimenter’s regress: there is no metarule to prove that, after implementing the procedure, the experimental data are actually free from biases. We claim that, from a contractarian perspective, these procedures are nonetheless defensible since they provide a warrant of the impartiality of the (...) experiment: we only need proof that the result has not been intentionally manipulated for prima facie acceptance. (shrink)

According to the "experimenter's regress", disputes about the validity of experimental results cannot be closed by objective facts because no conclusive criteria other than the outcome of the experiment itself exist for deciding whether the experimental apparatus was functioning properly or not. Given the frequent characterization of simulations as "computer experiments", one might worry that an analogous regress arises for computer simulations. The present paper analyzes the most likely scenarios where one might expect such a "simulationist's regress" (...) to surface, and, in doing so, discusses analogies and disanalogies between simulation and experimentation. I conclude that, on a properly broadened understanding of robustness, the practice of simulating mathematical models can be seen to have sufficient internal structure to avoid any special susceptibility to regress-like situations. (shrink)

Contemporary ways of understanding of science, especially in the philosophy of science, are beset by overly abstract and formal models of evidence. In such models, the only interesting feature of evidence is that it has a one-way ``support'' relation to hypotheses, theories, causal claims, etc. These models create a variety of practical and philosophical problems, one prominent example being the experimenter's regress. According to the experimenter's regress, good evidence is produced by good techniques, but which techniques are good (...) is only determined by whether they produce the evidence we expect. The best answer to this problem within the traditional approach relies on the concept of robust evidence, but this answer ultimately falls flat because it creates impossible requirements on good evidence. The problem can more easily be solved by rejecting abstract, formalistic models of evidence in favor of a model of inquiry which pays attention to the temporal complexity of the process of inquiry and the distinction between observational and experimental evidence. (shrink)

In the first part of this paper, I will sketch the main features of traditional models of evidence, indicating idealizations in such models that I regard as doing more harm than good. I will then proceed to elaborate on an alternative model of evidence that is functionalist, complex, dynamic, and contextual, which I will call DYNAMIC EVIDENTIAL FUNCTIONALISM. I will demonstrate its application to an illuminating example of scientific inquiry, and defend it from some likely objections. In the second part, (...) I will use that alternative to solve a variety of classic and contemporary problems in the literature on scientific evidence having to do with the empirical basis of science and the use of evidence in public policy. (shrink)

The research is devoted to the problem of philosophically justifying rationality, which inevitably takes the form of a circular argument: to define what rationality is, we must refrain from referring to its criteria, which must be rationally defined beforehand. This epistemic circle is compared to the so-called “experimenter’s regress”. The experimenter’s regress involves reasoning in which judging the correctness of obtained scientific results can only be based on the correctness of the procedure of obtaining them and judging the (...) correctness of the procedure of obtaining them can only be done by relying on the obtained results. From the perspective of social researchers of science, the experimenter’s (and the theoretician’s) regress casts a shadow on traditional theories of rationality that take science as a model of rational knowledge. The research analyzes the experimenter’s regress in the context of virtuous and vicious circles. It is shown that the experimenter’s regress is overcome by turning to external factors. These factors are proposed to be interpreted in terms of extended rationality. By analyzing the experimenter’s regress, social epistemologists consciously or unconsciously rationalize these “external” factors and enrich the concept of rationality. This allows qualifying the circle described by rationality in defining itself as virtuous and the work of the epistemologist as a progressive activity, during which both epistemology and its subject undergo qualitative changes. (shrink)

Linear regression and its variants have been widely used for classification problems. However, they usually predefine a strict binary label matrix which has no freedom to fit the samples. In addition, they cannot deal with complex real-world applications such as the case of face recognition where samples may not be linearly separable owing to varying poses, expressions, and illumination conditions. Therefore, in this paper, we propose the kernel negative ε dragging linear regression method for robust classification on noised and nonlinear (...) data. First, a technique called negative ε dragging is introduced for relaxing class labels and is integrated into the LR model for classification to properly treat the class margin of conventional linear regressions for obtaining robust result. Then, the data is implicitly mapped into a high dimensional kernel space by using the nonlinear mapping determined by a kernel function to make the data more linearly separable. Finally, our obtained KNDLR method is able to partially alleviate the problem of overfitting and can perform classification well for noised and deformable data. Experimental results show that the KNDLR classification algorithm obtains greater generalization performance and leads to better robust classification decision. (shrink)

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" is the production of "correct" (i.e., the expected) data. Collins claims that the "experimenters' regress," the name he gives to this data-technique circle, cannot be broken using the resources of experiment alone. I argue that the data-technique circle, can be broken even though any interpretation of the raw data produced by (...) techniques is theory-dependent. However, it is possible to break this circle by eliminating dependence on even those theoretical presuppositions that are shared by an entire scientific community through the use of multiple independently theory-dependent techniques to produce robust bodies of data. Moreover, I argue, that it is the production of robust bodies of data that convinces experimentalists of the objectivity of their data interpretations. (shrink)

This, the third edition of Fundamentals of Experimental Design, has five added chapters - those on regression (Chapters 12, 14, and 15), multivariate analysis (Chapter 18), and the matrix algebra appropriate to the level of presentation of this material (Chapter 13). I have noted in the preface other additions in this third edition. The added material should enhance the value of the book as a textbook and a reference. Given these additions, however, alternative approaches in using the current edition as (...) a textbook may merit consideration. It may help to note that Chapters 16 and 17 (analysis of covariance, trend analysis) do not depend on the material in Chapters 12 through 15, although the student should know something about simple linear regression to be able to understand fully the material in Chapters 16 and 17. In any event, the instructor who wants to teach only the material in the first two editions can do so by dropping the added chapters - 12 through 15, and 18 - from the syllabus. (shrink)

This article illustrates instrumental variable (IV) estimation by examining an unexpected finding of the research on career adaptability and job satisfaction. Theoretical and empirical arguments suggest that in the general population, people’s abilities to adapt their careers are beneficial to their job satisfaction. However, a recent meta-analysis unexpectedly found no effect when personality traits are controlled for. We argue that a reverse effect of job satisfaction on career adaptability, originating from affective tendencies tied to personality, might explain this null effect. (...) Our argument implies that the estimates obtained with traditional ordinary least squares (OLS) regressions are biased by endogeneity, a correlation between an explanatory variable and the error term in a regression model. When experimental manipulations are impossible, IV estimations, such as two-stage least squares (2SLS) regressions, are one possible solution to the endogeneity problem. Analyzing three waves of data from a sample of 836 adults, the concurrent and time-lagged effect of job satisfaction on career adaptability was revealed to be more consistent than the reverse. Our results provide an explanation, rooted in affective dispositions, as to why recent meta-analytical estimates unexpectedly found that career adaptability does not predict job satisfaction at the interindividual level. We also discuss IV estimation in terms of its limits, weight the interpretation of its estimates against the temporality criterion for causal inference, and consider its possible extension to analyses of change. (shrink)

Abstract: The aim of this paper is to analyse and criticize the argument of the experimenters' regress proposed by Harry Collins in 1985. In order to do that, I begin with an introduction to the experiments that aimed to detect gravity waves performed by Joseph Weber during 1970, then I analyse and discuss both forms of the argument: the epistemological and the ontological. Finally, after giving an outline of a theory of experimental reproduction and an explication of the concept (...) of replication, I propose two ways of avoiding the experimenters' regress. (shrink)

This is a contribution to the philosophy of experimental work, engaging with questions posed by Hacking, Franklin, Pickering, Schaffer and Collins. It focuses on the dynamics of experimentation and offers a detailed argument that one finds no "regress" of the kind posited by Collins. In particular, we reanalyze the celebrated series of experimental investigations by Newton on optical phenomena, taking into account Schaffer's partial reconstruction, and we show how it must be supplemented to obtain a more complete picture.

Understanding the dynamics of complex ecosystems is a necessary step to maintain and control them. Yet, reverse-engineering ecological dynamics remains challenging largely due to the very broad class of dynamics that ecosystems may take. Here, this challenge is tackled through symbolic regression, a machine learning method that automatically reverse-engineers both the model structure and parameters from temporal data. How combining symbolic regression with a “dictionary” of possible ecological functional responses opens the door to correctly reverse-engineering ecosystem dynamics, even in the (...) case of poorly informative data, is shown. This strategy is validated using both synthetic and experimental data, and it is found that this strategy is promising for the systematic modeling of complex ecological systems. (shrink)

In the human sciences, experimental research is used to establish causal relationships. However, the extrapolation of these results to the target population can be problematic. To facilitate extrapolation, we propose to use the statistical technique Latent Class Regression Analysis in combination with the analogical reasoning theory for extrapolation. This statistical technique can identify latent classes that differ in the effect of X on Y. In order to extrapolate by means of analogical reasoning, one can characterize the latent classes by a (...) combination of features, and then compare these features to features of the target. (shrink)

In this article, we illustrate experimentally an important consequence of the stochastic component in choice behaviour which has not been acknowledged so far. Namely, its potential to produce ‘regression to the mean’ (RTM) effects. We employ a novel approach to individual choice under risk, based on repeated multiple-lottery choices (i.e. choices among many lotteries), to show how the high degree of stochastic variability present in individual decisions can distort crucially certain results through RTM effects. We demonstrate the point in the (...) context of a social comparison experiment. (shrink)

Corporate social responsibility is widely established by companies that aim to contribute to society and minimize their negative impact on the environment. In CSR research, employees’ reactions to CSR have extensively been researched. Social identity theory is often used as a theoretical background to explain the relationship between CSR and employee-related outcomes, but until now, a sound empirical examination is lacking, and causality remains unclear. CSR can unfold its effect mainly because of three theoretically important aspects of CSR initiatives, which (...) increase identification, i.e., distinctiveness, prestige, and salience of the out-group. This study examines how far identification can explain the effect of CSR on employees. In an experimental vignette study, CSR was manipulated in three degrees to examine its effects on job satisfaction, organizational commitment, and organizational citizenship behavior. In the vignettes, information on distinctiveness, prestige, and salience of the out-group were presented. Regression analyses showed that CSR significantly predicted commitment and job satisfaction, but not OCB. We found mediation effects of CSR on commitment, job satisfaction, and OCB through identification, but the effect of CSR on identification explained only little variance which indicates additional underlying mechanisms. The applicability of social identity theory for explaining CSR is discussed. Moreover, we discuss further explaining mechanisms. (shrink)

Extreme learning machine is a recent scheme for single hidden layer feed forward networks. It has attracted much interest in the machine intelligence and pattern recognition fields with numerous real-world applications. The ELM structure has several advantages, such as its adaptability to various problems with a rapid learning rate and low computational cost. However, it has shortcomings in the following aspects. First, it suffers from the irrelevant variables in the input data set. Second, choosing the optimal number of neurons in (...) the hidden layer is not well defined. In case the hidden nodes are greater than the training data, the ELM may encounter the singularity problem, and its solution may become unstable. To overcome these limitations, several methods have been proposed within the regularization framework. In this article, we considered a greedy method for sparse approximation of the output weight vector of the ELM network. More specifically, the orthogonal matching pursuit algorithm is embedded to the ELM. This new technique is named OMP-ELM. OMP-ELM has several advantages over regularized ELM methods, such as lower complexity and immunity to the singularity problem. Experimental works on nine commonly used regression problems indicate that the investigated OMP-ELM method confirms these advantages. Moreover, OMP-ELM is compared with the ELM method, the regularized ELM scheme, and artificial neural networks. (shrink)

Randomized control trials (RCTs) are recognized as the preferred tool of analysis in modern development economics literature/research and policy evaluation. This may lead to methodologies, including case studies, tabular analysis, simple regressions, taking a back seat. This survey explores the implications of such a methodological hierarchy and the implications of preoccupation with a particular evidence/methodology for research and policy. Similar developments in macroeconomic modelling are also discussed. Major advantages and limitations of RCTs and the attempts to address them are highlighted. (...) The article argues that preoccupation with a methodology can sometimes lead to important inquiries for research and policy getting side-lined on methodological considerations. This leads to inferences favouring a particular technique/methodology or issue. Focusing solely on methodologies that emphasize quantifying the ‘effect’ may not be appropriate to address all questions relevant to development. As policies involve multiple and conflicting social concerns, methodological pluralism may be preferable. (shrink)

Climate change, nutrition, poverty and medical drugs are widely discussed and pressing issues in science, policy and society. Despite these issues being of great importance for the quality of our lives it remains unclear how well people understand them. Specifically, do particular demographic and socioeconomic factors explain variation in public understanding of these four concepts? To what extent are people’s changes in understanding associated with changes in their behaviour? Do people judge scientific practices relying on the more descriptive concepts of (...) climate change and effective medical drugs to be more objective (less controversial) than practices relying on the more value-laden concepts of poverty and healthy nutrition? To address these questions, an experimental survey and regression analyses are conducted using data collected from about one thousand participants across different continents. The study finds that public understanding of science is generally low. A smaller proportion of people were able to correctly identify the common explanation accepted internationally among the scientific community for climate change and effectiveness of medical drugs (42% and 43% of participants in the study, respectively) than for poverty and healthy nutrition (61% and 65% of participants, respectively). Older age and political non-conservativeness were the strongest predictors of correctly understanding these four concepts. Greater levels of education and political non-conservativeness were in turn the strongest predictors of people’s reported changes in their behaviour based on their improved understanding of these concepts. Because climate change is among the least understood scientific concepts but is arguably the greatest challenge of our time, better efforts are needed to improve how media, awareness campaigns and education systems mediate information on the topic in order to tackle the large knowledge deficits that constrain behavioural change. (shrink)

The linguistic complexity of words has largely been studied on the behavioral level and in experimental settings. Only little is known about the neural processes underlying it in uninstructed, spontaneous conversations. We built up a multimodal neurolinguistic corpus composed of synchronized audio, video, and electrocorticographic (ECoG) recordings from the fronto-temporo-parietal cortex to address this phenomenon based on uninstructed, spontaneous speech production. We performed extensive linguistic annotations of the language material and calculated word complexity using several numeric parameters. We orthogonalized the (...) parameters with the help of a linear regression model. Then, we correlated the spectral components of neural activity with the individual linguistic parameters and with the residuals of the linear regression model, and compared the results. The proportional relation between the number of consonants and vowels, which was the most informative parameter with regard to the neural representation of word complexity, showed effects in two areas: the frontal one was at the junction of the premotor cortex, the prefrontal cortex, and Brodmann area 44. The postcentral one lay directly above the lateral sulcus and comprised the ventral central sulcus, the parietal operculum and the adjacent inferior parietal cortex. Beyond the physiological findings summarized here, our methods may be useful for those interested in ways of studying neural effects related to natural language production and in surmounting the intrinsic problem of collinearity between multiple features of spontaneously spoken material. (shrink)

The situational context within which an activity takes place, as well as the personality characteristics of individuals shape the types of strategies people choose in order to regulate their emotions, especially when confronted with challenging or undesirable situations. Taking self-regulation as the framework to study emotions in relation to learning and performing chamber music canon repertoire, this quasi-experimental and intra-individual study focused on the self-rated emotional states of a professional classical cellist during long-term sustained practice across 100-weeks. This helped to (...) develop greater awareness of different emotions and how they vary over artistic events (9 profiled concerts and 1 commercially recorded album). Data analysis included traditional psychometric measurements to test the internal consistency of the time series data as well as the relationship between variables (artistic events). The study mapped the cellist’s flexible regulation of 17 different positive and negative emotions empirically linked to learning and achievement while practicing within the social context of performing music publicly at a high level. Findings arising from the study help with understandings of how to support musicians to maximize their artistic potential by reducing emotion dysregulation and strengthening the types of adaptive methods that enable them to manage their own emotions. (shrink)

Previous studies have documented a positive association between college education and happiness. However, the endogeneity of college education attainment is rarely examined, and a more robust link between college education and happiness needs to be built. Based on the Chinese General Social Survey data of 2017, the present study used the quasi-experiment of China’s higher education expansion started in 1999 to construct a fuzzy regression discontinuity design to examine the causal association between college education and happiness. It is observed that (...) college education indeed improved Chinese happiness, but this positive association was stronger in males than in females. Further, college education was observed to improve happiness by improving individual political status, perceived personal status, health and family social status, but not by increasing personal income. Accordingly, the government should continue to promote the development of higher education, and the fairness of higher education development deserves more attention to reduce population disparities in happiness. (shrink)

Background: To evaluate the effectiveness of a multifaceted intervention in improving emergency department (ED) patient privacy and satisfaction in the crowded ED setting. Methods: A pre- and post-intervention study was conducted. A multifaceted intervention was implemented in a university-affiliated hospital ED. The intervention developed strategies to improve ED patient privacy and satisfaction, including redesigning the ED environment, process management, access control, and staff education and training, and encouraging ethics consultation. The effectiveness of the intervention was evaluated using patient surveys. Eligibility (...) data were collected after the intervention and compared to data collected before the intervention. Differences in patient satisfaction and patient perception of privacy were adjusted for predefined covariates using multivariable ordinal logistic regression. Results: Structured questionnaires were collected with 313 ED patients before the intervention and 341 ED patients after the intervention. There were no important covariate differences, except for treatment area, between the two groups. Significant improvements were observed in patient perception of "personal information overheard by others", being "seen by irrelevant persons", having "unintentionally heard inappropriate conversations from healthcare providers", and experiencing "providers' respect for my privacy". There was significant improvement in patient overall perception of privacy and satisfaction. There were statistically significant correlations between the intervention and patient overall perception of privacy and satisfaction on multivariable analysis. Conclusions: Significant improvements were achieved with an intervention. Patients perceived significantly more privacy and satisfaction in ED care after the intervention. We believe that these improvements were the result of major philosophical, administrative, and operational changes aimed at respecting both patient privacy and satisfaction. (shrink)

We examine the impact of a government-initiated CSR project on corporate misconduct using the unique setting of China’s Targeted Poverty Alleviation (TPA) program. The difference-in-differences estimates show that firms participating in the TPA program engage in fewer misconduct activities than do their counterparts. This finding is robust to the parallel trends test, the placebo test, alternative regression specifications, alternative research designs, the reverse causality analysis, and the bivariate probit model with partial observability. Further analysis shows that TPA participation enhances the (...) ability of external financial professionals to monitor performance by stimulating the dissemination of TPA-related incremental information, thereby contributing to the decline in corporate misconduct. The cross-sectional heterogeneity analysis shows that the impact of TPA participation on corporate misconduct is more pronounced in firms with higher information asymmetry, with weaker political connections, and with weaker internal governance. Furthermore, we find evidence that TPA participation improves corporate financial performance but does not deteriorate information transparency. (shrink)

In this paper I examine Harry Collins’s influential writing on tacit knowledge. In particular I turn my attention to his recent book, Tacit and Explicit Knowledge [Collins 2010], or TEK, which is arguably the most complete and systematic statement of what he means by the term “tacit knowledge”. As well as examining tacit knowledge as elaborated in this contribution, I draw out an underlying tension in Collins’s major contributions to the sociology of scientific knowledge in general between the realism underlying (...) his notion of “tacit knowledge” and the constructivism underlying his other well-known concept, “the experimenters’ regress” (as for instance, elaborated in his well-known book Changing Order [Collins 1992]). In order to make this argument I pay particular attention to an aspect of his writings on tacit knowledge which I think is worthy of closer examination: namely the sorts of empirical support claimed for the features and properties of tacit knowledge to which he attends. In short I ask questions concerning some of the specific empirical examples and the conclusions he draws from them. (shrink)

In a publication of 1831 later seen as a milestone in the development of chemistry, Justus Liebig announced a new apparatus for the analysis of organic compounds and provided analytical results for fifteen substances. In this paper we used the detailed descriptions published by Liebig in 1837 to reconstruct his apparatus and methods for hydrogen, carbon and nitrogen analysis. Our replications of his analyses of racemic acid, cinchonine, narcotine, and urea reveal that his two pieces of apparatus give excellent results (...) for carbon and hydrogen content, but erratic results for nitrogen. The results corroborate the assessments of Liebig and his contemporaries, and show that the analytical method for carbon and hydrogen analysis was remarkably accurate. We offer this case, with its convincing replicability, not only to clarify the nature of Liebig's innovations, but also as a new model for understanding broader contested issues in the philosophy and sociology of science. Our analysis suggests that the great shift in science from gentlemanly avocation to professional vocation was tightly linked to laboratory practice, and not just to social networks and context. It also provides the basis for a critique of H. M. Collins's theory of the 'experimenters' regress'. (shrink)

Inductive inference and "experimental error"; A population sample model: local inference; Expansion of the model: inference in the large; Expansion of the model: inference in the large; Interpretation of results; Random variables and distributions; Variance and related topics; Problems of sampling in physical situations; Randomization; Restricted randomization and experimental designs; Regression or curve fitting.

Three-quarters of children in Myanmar face developmental barriers and risk-increasing conditions such as poverty, broken families, and difficulty accessing basic requirements. These children rely heavily on institutionalization. Given the adverse effects of institutional systems, knowing the differing impacts of sociodemographic and cultural factors is foundational to aiding healthy personal outcomes. Thus, this study focused primarily on enhancing the resilience of children in a monastic school through a dhamma-based school intervention. A three-phase mixed quantitative-qualitative research design was applied: a descriptive survey, (...) an experimental research method, and an interview session. Three-hundred sixty-nine middle school students from five monastic schools completed the Connor-Davidson Resilience Scale and personal information forms. Regarding the sociodemographic group, hierarchical multiple regression revealed a significant predictive role of positive relationship with caregivers and community support in resilience. Furthermore, we experimentally examined the effectiveness of the program on resilience and related themes in a mixed factorial design. A paired-sample t-test, and two-way repeated-measures analysis of variance (ANOVA) revealed that the intervention significantly improved resilience. Interview results evidenced the current conditions and the beneficial impact of the intervention in enhancing personal strengths. This study not only provides empirical evidence for the instant, follow-up, and transfer effects of the program but also holds implications for authorities and stakeholders in the context of social welfare for needy children regarding contributions to advance culturally well-suited programs and, consequently, the population’s mental health. (shrink)

Despite recent growth in distance education, there has been relatively little research on whether online examinations facilitate student cheating. The present paper utilizes an experimental design to assess the difference in student performance between students taking a traditional, proctored exam and those taking an online, unproctored exam. This difference in performance is examined in a manner which considers both the effect of the different physical test environments and the possible effect of a difference in the opportunity for students to cheat. (...) This study, utilizing regression models that also account for relevant control variables, examines 44 undergraduate statistics students, finds evidence that the difference in the testing environment creates a disadvantage to students taking the online exam which somewhat offsets the advantage that the unproctored students gain from greater opportunities to cheat. (shrink)

A quasi-experimental design was used to determine whether there are differences in sociomoral reasoning, as indicated by the Sociomoral Reflection Objective Measure-Short Form (SROM-SF), between a group of students who completed a research ethics course and a comparable control group. The SROM-SF was administered as a pre-test and post-test to both groups of students, those enrolled in the class (n=20) as well as the control group (n=18). Analysis of Covariance (ANCOVA) on the post-test results of the SROM-SF with the pre-test (...) scores as a covariate indicated significant difference between the groups at the .05 alpha level (p < .031). The results of this study concur with other research suggesting that ethics training that includes an interactive component (e.g., discussion g roups that accompany lecture presentations) affects sociomoral reasoning, primarily by preventing the regression in SROM-SF scores evidenced by students in the control group. (shrink)

Aside from the local (mostly Western) efforts to subject animal experimentation to public scrutiny, the extent of animal experimentation, the acceptance of alternative methods and the fate of animals in laboratories depend on experimenters’ morality (as defined by social psychology), whose shaping is of crucial importance for the future of animal use in science. Meanwhile, sociological and ethnographic research in laboratories demonstrates that in the matter of animal use the experimenters are unreflective, ethically incompetent, and incapable of taking a critical (...) view of the received morality. This appears to result largely from their higher education which is known to cause a regression in moral development, inculcate a routine exploitation and/or objectification of animals, and ignore both the scientific premises and moral consequences of animal subjectivity. From all we know, it is researchers’ morality rather than pressing needs and expectations of humanity that interferes with a major restriction of invasive animal research in general and a wide, proactive acceptance of alternative methods in particular. (shrink)

Background Despite the bourgeoning of digital tools for bioethics research, education, and engagement, little research has empirically investigated the impact of interactive visualizations as a way to translate ethical frameworks and guidelines. To date, most frameworks take the format of text-only documents that outline and offer ethical guidance on specific contexts. This study’s goal was to determine whether an interactive-visual format supports frameworks in transferring ethical knowledge by improving learning, deliberation, and user experience.Methods An experimental comparative study was conducted with (...) a pre-, mid-, and post-test design using the online survey platform Qualtrics. Participants were university based early-stage health researchers who were randomly assigned to either the control condition (text-only document) or the experimental condition (interactive-visual). The primary outcome variables were learning, (measured using a questionnaire), deliberation (using cases studies) and user experience (measured using the SED/UD Scale). Analysis was conducted using descriptive statistics and mixed-effects linear regression.Results Of the 80 participants, 44 (55%) used the text-only document and 36 (45%) used the interactive-visual. Results of the knowledge-test scores showed a statistically significant difference between participants’ post-test scores, indicating that the interactive-visual format better supported understanding, acquisition, and application of the framework’s knowledge. Findings from the case studies showed both formats supported ethical deliberation. Results further indicated the interactive-visual provided an overall better episodic and remembered user experience compared with the text-only document.Conclusions Our findings show that ethical frameworks formatted with interactive and visual qualities provide a more pleasing user experience and are effective formats for ethics learning and deliberation. These findings have implications for practitioners developing and deploying ethical frameworks and guidelines (e.g., in educational or employee-onboarding settings), in that the knowledge generated can lead to more effective dissemination practices of normative guidelines and health data ethics concepts. (shrink)

Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of accessibility. A compendium research methods reflecting the expertise of major contributors to NDS psychology, Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data examines the techniques proven to be the most (...) useful in the behavioral sciences. The editors have brought together constructive work on new practical examples of methods and application built on nonlinear dynamics. They cover dynamics such as attractors, bifurcations, chaos, fractals, catastrophes, self-organization, and related issues in time series analysis, stationarity, modeling and hypothesis testing, probability, and experimental design. The analytic techniques discussed include several variants of the fractal dimension, several types of entropy, phase-space and state-space diagrams, recurrence analysis, spatial fractal analysis, oscillation functions, polynomial and Marquardt nonlinear regression, Markov chains, and symbolic dynamics. The book outlines the analytic requirements faced by social scientists and how they differ from those of mathematicians and natural scientists. It includes chapters centered on theory and procedural explanations for running the analyses with pertinent examples and others that illustrate applications where a particular form of analysis is seen in the context of a research problem. This combination of approaches conveys theoretical and practical knowledge that helps you develop skill and expertise in framing hypotheses dynamically and building viable analytic models to test them. (shrink)

Background Ethical decision‑making and behavior of nurses are major factors that can affect the quality of nursing care. Moral development of nurses to making better ethical decision-making is an essential element for managing the care process. The main aim of this study was to examine and comparison the effect of training in ethical decision-making through lectures and group discussions on nurses’ moral reasoning, moral distress and moral sensitivity. Methods In this randomized clinical trial study with a pre- and post-test design, (...) 66 nurses with moral reasoning scores lower than the average of the community were randomly assigned into three equal groups (n = 22) including two experimental groups and one control group. Ethical decision-making training to experimental groups was provided through the lectures and group discussions. While, the control group did not receive any training. Data were collected using sociodemographic questionnaire, the nursing dilemma test (NDT), the moral distress scale (MDS) and the moral sensitivity questionnaire (MSQ). Unadjusted and adjusted binary logistic regression analysis was reported using the odds ratio (OR) and 95% confidence intervals. Results Adjusted regression analysis showed that the probability of increasing the nursing principle thinking (NPT) score through discussion training was significantly higher than lecture (OR: 13.078, 95% CI: 3.238–15.954, P = 0.008), as well as lecture (OR: 14.329, 95% CI: 16.171–2.005, P < 0.001) and discussion groups compared to the control group (OR: 18.01, 95% CI: 22.15–5.834, P < 0.001). The possibility of increasing moral sensitivity score through discussion training was significantly higher than lecture (OR: 10.874, 95%CI: 6.043–12.886, P = 0.005) and control group (OR: 13.077, 95%CI: 8.454–16.774, P = 0.002). Moreover, the moral distress score was significantly reduced only in the trained group compared to the control, and no significant difference was observed between the experimental groups; lecture group vs. control group (OR: 0.105, 95% CI: 0.015–0.717, P = 0.021) and discussion group vs. control group (OR: 0.089, 95% CI: 0.015–0.547, P = 0.009). Conclusions The results of this study indicate that ethical decision-making training is effective on empowerment of ethical reasoning. Whereas the group discussion was also effective on increasing the ethical sensitivity, it is recommended the training plan provided in this study to be held as workshop for all nurses in health and treatment centers and placed in curricular plan of nursing students. Registration This randomized clinical trial was registered in Iranian Registry of Clinical Trials under code (IRCT2015122116163N5) in 02/07/2016. (shrink)