Evidence-based medicine frequently uses statistical hypothesis testing. In this paradigm, data can only disconfirm a research hypothesis’ competitors: One tests the negation of a statistical hypothesis that is supposed to correspond to the research hypothesis. In practice, these hypotheses are often misaligned. For instance, directional research hypotheses are often paired with non-directional statistical hypotheses. Prima facie, one cannot gain proper evidence for one’s research hypothesis employing a misaligned statistical hypothesis. This paper sheds lights on the nature (...) of and the reasons for such misalignments and it provides a thorough analysis of whether they pose a threat to evidence-based medicine. The upshots are that the misalignments are often hidden for clinicians and that although some cases of misalignments can be partially counterbalanced, the overall threat is non-negligible. The counterbalances either lead to methodological inadequacy, loss of statistical power, or involve a lack of information that could be crucial for decision making. This result casts doubt on various findings of medical studies in addition to issues associated with under-powered studies or the replication crisis. (shrink)

Students’ learning engagement is recognized as one of the main components of effective instruction and a necessary prerequisite for learning, but students’ learning engagement in flipped classroom poses some pedagogical challenges. This study aimed to promote students’ learning engagement via the flipped classroom approach. Design-based research was adopted in this study to conduct an experiment involving three iterations in a Modern Educational Technology course in a Chinese university. The participants included 36 third-year pre-service teacher undergraduates. Classroom observations and a (...) learning engagement questionnaire were used to measure the effectiveness of the flipped instruction in terms of students’ learning engagement. Data analysis applied descriptive statistics, ANOVA, and paired samples t tests. The results showed that after three rounds of iterative experiments, students’ learning engagement significantly improved. Several principles are provided as guidelines for instructors to implement flipped classroom approach to promote students’ learning engagement. (shrink)

This paper reports the results of questionnaire-based research conducted at an exhibition of interactive humanoid robots that was held at the Osaka Science Museum, Japan. The aim of this exhibition was to investigate the feasibility of communication robots connected to a ubiquitous sensor network, under the assumption that these robots will be practically used in daily life in the not-so-distant future. More than 90,000 people visited the exhibition. A questionnaire was given to the visitors to explore their opinions of (...) the robots. Statistical analysis was done on the data of 2,301 respondents. It was found that the visitors’ opinions varied according to age; younger visitors did not necessarily like the robots more than elderly visitors; positive evaluation of the robots did not necessarily conflict with negative evaluations such as anxiety; there was no gender difference; and there was almost no correlation between opinions and the length of time spent near the robots. (shrink)

Multiple acoustic dimensions signal speech categories. However, dimensions vary in their informativeness; some are more diagnostic of category membership than others. Speech categorization reflects these dimensional regularities such that diagnostic dimensions carry more “perceptual weight” and more effectively signal category membership to native listeners. Yet perceptual weights are malleable. When short-term experience deviates from long-term language norms, such as in a foreign accent, the perceptual weight of acoustic dimensions in signaling speech category membership rapidly adjusts. The present study investigated whether (...) rapid adjustments in listeners’ perceptual weights in response to speech that deviates from the norms also affects listeners’ own speech productions. In a word recognition task, the correlation between two acoustic dimensions signaling consonant categories, fundamental frequency and voice onset time, matched the correlation typical of English, and then shifted to an “artificial accent” that reversed the relationship, and then shifted back. Brief, incidental exposure to the artificial accent caused participants to down-weight perceptual reliance on F0, consistent with previous research. Throughout the task, participants were intermittently prompted with pictures to produce these same words. In the block in which listeners heard the artificial accent with a reversed F0 × VOT correlation, F0 was a less robust cue to voicing in listeners’ own speech productions. The statistical regularities of short-term speech input affect both speech perception and production, as evidenced via shifts in how acoustic dimensions are weighted. (shrink)

This article provides a much‐needed review of the neural bases of implicit statistical learning. Batterink, Paller and Reber focus on the neural processes that underpin performance in experimental paradigms employed in implicit learning and statistical learning research. An important insight is that learning across all paradigms is supported by interactions between the declarative and nondeclarative memory systems of the brain. They conclude with a helpful discussion of future directions of research.

Dans le cadre du développement récent de la stylistique outillée, cet article propose une réflexion sur l’application de ce concept et de ses méthodes aux personnages de théâtre sur la base d’un corpus trilingue de tragédies : Euripide, Sénèque et Corneille. Pour mener la recherche, nous aborderons d’abord la question de la nature des rôles de théâtre entre unités textuelles recomposées et discours de personnages dans le cadre d’une performance sur scène. Ensuite, nous chercherons à définir si les caractéristiques de (...) ces unités peuvent être rapprochées de la notion de style. Nous en étudierons les apports pour la compréhension d’une œuvre de théâtre. Pour atteindre cet objectif, une attention particulière sera accordée au corpus de recherche (quelles œuvres choisir?), à sa constitution (comment diviser ce corpus et avec quel niveau de granularité?) et aux outils d’exploration (qualitative ou quantitative?). En stylistique outillée, le corpus devient lui-même un outil de recherche en tant qu’opérateur de contraste. Enfin, poursuivre cette enquête amène à questionner la frontière entre études du discours et stylistique outillée du point de vue de leurs objectifs et de leurs méthodes. (shrink)

This paper takes laptops as an example to carry out research on quantitative model of brand recognition based on sentiment analysis of big data. The basic idea is to use web crawler technology to obtain the most authentic and direct information of different laptop brands from first-line consumers from public spaces such as buyer reviews of major e-commerce platforms, including review time, text reviews, satisfaction ratings and relevant user information, etc., and then analyzes consumers’ sentimental tendencies and recognition status (...) of the product brands. This study extracted a total of 437,815 user reviews of laptops from e-commerce platforms from January 1, 2019 to December 31, 2021, and performed data preprocessing on the obtained review data, followed by sentiment dictionary construction, attribute expansion, text quantification and algorithm evaluation. This paper analyzed the information receiving and processing hierarchy of the quantitative model of brand recognition, discussed the interactive relationship between brand recognition and consumer sentiment, discussed the brand recognition bias, style and demand in the context of big data, and performed the sentiment statistics and dimension analysis in the quantitative model of brand recognition. The study results show that the quantitative model of brand recognition based on sentiment analysis of big data can transform and map the keywords in text to word vectors in the high-dimensional semantic space by performing unsupervised machine learning on the text based on artificial neural network computer bionic metaphors; the model can accumulate each brand-related buyer review in the corresponding brand recognition dimension, so as to obtain the value of each product in each dimension of brand recognition; finally, the model will add the values of each dimension of brand recognition, that is, obtain the relevant value of the sum of each brand recognition. The results of this paper may provide a reference for further research on the quantitative model of brand recognition based on sentiment analysis of big data. (shrink)

The productivity of researchers and the impact of the work they do are a preoccupation of universities, research funding agencies, and sometimes even researchers themselves. The h-index is the most popular of different metrics to measure these activities. This research deals with presenting a practical approach to model the h-index based on the total number of citations and the duration from the publishing of the first article. To determine the effect of every factor on h, we applied a (...) set of simple nonlinear regression. The results indicated that both NC and D1 had a significant effect on h. The determination of coefficient for these equations to estimate the h-index was 93.4% and 39.8%, respectively, which verified that the model based on NC had a better fit. Then, to record the simultaneous effects of NC and D1 on h, multiple nonlinear regression was applied. The results indicated that NC and D1 had a significant effect on h. Also, the determination of coefficient for this equation to estimate h was 93.6%. Finally, to model and estimate the h-index, as a function of NC and D1, multiple nonlinear quartile regression was used. The goodness of the fitted model was also assessed. (shrink)

This paper firstly extracts the humanised design elements of urban small and micro public space from the connotation of urban small and micro public space and humanised design, and applies its design elements to actual projects. The questionnaire is taken as the main source of research data in this paper, and the independent variables, dependent variables and control variables are additionally set. Combining the research data with mathematical and statistical methods, we explore the interaction relationship between the humanised (...) design of urban micro and small public spaces and the subjective well-being of residents. It is found that the regional characteristics of the humanised design elements of urban small and micro public spaces have the greatest influence on subjective well-being, with a regression coefficient of 0.418. In addition, it can be concluded that site selection, regional characteristics, scale, and visual mentality have significant correlation on life happiness, life satisfaction, and economic satisfaction, satisfying P. (shrink)

The null-hypothesis significance-test procedure (NHSTP) is defended in the context of the theory-corroboration experiment, as well as the following contrasts: (a) substantive hypotheses versus statistical hypotheses, (b) theory corroboration versus statistical hypothesis testing, (c) theoretical inference versus statistical decision, (d) experiments versus nonexperimental studies, and (e) theory corroboration versus treatment assessment. The null hypothesis can be true because it is the hypothesis that errors are randomly distributed in data. Moreover, the null hypothesis is never used as a categorical proposition. Statistical (...) significance means only that chance influences can be excluded as an explanation of data; it does not identify the nonchance factor responsible. The experimental conclusion is drawn with the inductive principle underlying the experimental design. A chain of deductive arguments gives rise to the theoretical conclusion via the experimental conclusion. The anomalous relationship between statistical significance and the effect size often used to criticize NHSTP is more apparent than real. The absolute size of the effect is not an index of evidential support for the substantive hypothesis. Nor is the effect size, by itself, informative as to the practical importance of the research result. Being a conditional probability, statistical power cannot be the apriori probability of statistical significance. The validity of statistical power is debatable because statistical significance is determined with a single sampling distribution of the test statistic based on H0, whereas it takes two distributions to represent statistical power or effect size. Sample size should not be determined in the mechanical manner envisaged in power analysis. It is inappropriate to criticize NHSTP for nonstatistical reasons. At the same time, neither effect size, nor confidence interval estimate, nor posterior probability can be used to exclude chance as an explanation of data. Neither can any of them fulfill the nonstatistical functions expected of them by critics. (shrink)

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. Specifically, (...) rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions. (shrink)

Researchers increasingly rely on large data sets of health information, often linked with biological specimens. In recent years, the argument has been made that obtaining informed consent for conducting records-based research is unduly burdensome and results in ?consent bias.? As a type of selection bias, consent bias is said to exist when the group giving researchers access to their data differs from the group denying access. Therefore, to promote socially beneficial research, it is argued that consent should be (...) unnecessary. After analyzing the biostatistics evidence and bioethics arguments, the article concludes that (1) claims about the amount of consent bias are overstated; (2) commonly used statistical methods usually can account for consent bias; and (3) any residual effects of consent bias are below an acceptable level of imprecision and constitute a reasonable social cost for conducting ethically responsible research. (shrink)

A growing number of researchers in the business ethics field have used scenarios as a data gathering technique in their empirical investigations of ethical issues. This paper offers a review and critique of 26 studies that have utilized scenarios to elicit inferences of ethical reasoning, decision making, and/or intended behavior from managerial or student populations. The use of a theoretical foundation, the development of hypotheses, various characteristics germane to the use of scenarios, population and sampling issues, and the use of (...) statistical measures are explored and assessed. In the interest of improving scenario-based research, ten recommendations are presented to guide future scenario research. (shrink)

ABSTRACTIn this article, we discuss the benefits of Bayesian statistics and how to utilize them in studies of moral education. To demonstrate concrete examples of the applications of Bayesian statistics to studies of moral education, we reanalyzed two data sets previously collected: one small data set collected from a moral educational intervention experiment, and one big data set from a large-scale Defining Issues Test-2 survey. The results suggest that Bayesian analysis of data sets collected from moral educational studies can provide (...) additional useful statistical information, particularly that associated with the strength of evidence supporting alternative hypotheses, which has not been provided by the classical frequentist approach focusing on P-values. Finally, we introduce several practical guidelines pertaining to how to utilize Bayesian statistics, including the utilization of newly developed free statistical software, Jeffrey’s Amazing Statistics Program, and thresholding based on Bayes Factors, to scholars in the field of moral education. (shrink)

Learning a deep structure representation for complex information networks is a vital research area, and assessing the quality of stereoscopic images or videos is challenging due to complex 3D quality factors. In this paper, we explore how to extract effective features to enhance the prediction accuracy of perceptual quality assessment. Inspired by the structure representation of the human visual system and the machine learning technique, we propose a no-reference quality assessment scheme for stereoscopic images. More specifically, the statistical features (...) of the gradient magnitude and Laplacian of Gaussian responses are extracted to form binocular quality-predictive features. After feature extraction, these features of distorted stereoscopic image and its human perceptual score are used to construct a statistical regression model with the machine learning technique. Experimental results on the benchmark databases show that the proposed model generates image quality prediction well correlated with the human visual perception and delivers highly competitive performance with the typical and representative methods. The proposed scheme can be further applied to the real-world applications on video broadcasting and 3D multimedia industry. (shrink)

An intricate, long, and occasionally heated debate surrounds Boltzmann’s H-theorem (1872) and his combinatorial interpretation of the second law (1877). After almost a century of devoted and knowledgeable scholarship, there is still no agreement as to whether Boltzmann changed his view of the second law after Loschmidt’s 1876 reversibility argument or whether he had already been holding a probabilistic conception for some years at that point. In this paper, I argue that there was no abrupt statistical turn. In the first (...) part, I discuss the development of Boltzmann’s research from 1868 to the formulation of the H-theorem. This reconstruction shows that Boltzmann adopted a pluralistic strategy based on the interplay between a kinetic and a combinatorial approach. Moreover, it shows that the extensive use of asymptotic conditions allowed Boltzmann to bracket the problem of exceptions. In the second part I suggest that both Loschmidt’s challenge and Boltzmann’s response to it did not concern the H-theorem. The close relation between the theorem and the reversibility argument is a consequence of later investigations on the subject. (shrink)

All professional ethics are dependent on the epistemology of the profession. The possibility of following a code of ethics, whether the official one or an alternative code, is dependent on being able to obtain knowledge and understand the world. Professional knowledge has to be based on inferences from limited information. Statistics provides the optimal methods for making such inferences, and thus ethical professional conduct requires individual or collective understanding of some statistical thcory and practice. This is demonstrated using the medical (...) profession as an example. Statistical methods are essential in all areas of medicine, in routine medical practice, in screening for disease and in research. Evidence from medical journals, textbooks and research bodies shows that the statistical basis for ethical conduct is lacking. However, there are attempts to improve the situation. (shrink)

Evidence-Based Medicine (EBM) and Personalized Medicine (PM) share a common goal: reducing the gap between the results of biomedical research and their clinical application. PM is, however, often presented as a “new paradigm” for medicine, just as EBM was in the 1990s. It covers a wide variety of projects but the core idea that generally unites them is the ambition of better taking account of individual specificities than did EBM with its statistical and population-centred approach. In this article, I (...) concentrate on PM in cancerology, the essence of which is to target treatments based on the molecular profile of the patient. This targeting is made possible by gaining better knowledge about the molecular mechanisms of cancers. The classification of patients as a function of their molecular profile entails the creation of patient sub-groups. This creates a problem for the traditional evaluation of therapeutic treatment promoted by EBM, in particular the use of randomized trials using sizeable cohorts. But a better understanding of the mechanisms and the greater precision of treatments could reduce the need for these trials. Does PM thus represent the revenge of a physio-pathological and mechanistic culture in clinical research against the statistical and empirical one of EBM? My objective is to show how current practices of PM leads to epistemological changes in our estimation of what count as relevant types of information and proof in medicine, in particular in the field of therapeutic evaluation. I defend the idea that PM, far from obviating the need for statistical approaches and the search for correlations, ultimately poses new challenges for EBM. PM drives EBM to strengthen the articulation and the integration of statistical and mechanistic data with a view to providing a better service for each patient. (shrink)

Research Methodology for Social Sciences provides guidelines for designing and conducting evidence-based research in social sciences and interdisciplinary studies using both qualitative and quantitative data. Blending the particularity of different sub-disciplines and interdisciplinary nature of social sciences, this volume: Provides insights on epistemological issues and deliberates on debates over qualitative research methods; Covers different aspects of qualitative research techniques and evidence-based research techniques including survey design, choice of sample, construction of indices, statistical inferences, and data (...) analysis; Discusses concepts, techniques, and tools at different stages of research beginning with design of field surveys to collect raw data and then to analyze the data using statistical and econometric methods; With illustrations, examples and a reader friendly approach, this volume will serve as a key reference material for compulsory research methodology courses at Doctoral levels across different disciplines like Economics, Sociology, Women's Studies, Education, Anthropology, Political Science, International Relations, Philosophy, History, Business Management and the like. This volume will also be indispensable for post-graduate courses dealing with quantitative techniques and data analysis. (shrink)

Tooze provides an interpretation of the dramatic period of statistical innovation between 1900 and the end of World War II. At the turn of the century, virtually none of the economic statistics that we take for granted today were available. By 1944, the entire repertoire of modern economic statistics was being put to work in wartime economic management. As this book reveals, the Weimar Republic and the Third Reich were in the forefront of statistical innovation in the interwar decades. New (...) ways of measuring the economy were inspired both by contemporary developments in macroeconomic theory and the needs of government. The Weimar Republic invested heavily in macroeconomic research. Under the Nazi regime, these statistical tools were to provide the basis for a radical experiment in economic planning. Based on the German example, this book presents the case for a more wide-ranging reconsideration of the history of modern economic knowledge. (shrink)

This short article is based on my special lecture entitled "Aristotle and the Philosophy of Education" at Tamagawa University Research Institute in Tokyo on September 19, 2015, through a recording of the spoken language transcribed in written form with some corrections. The lecture delivered on that day consists of two parts: referring to historical research and a statistical survey, the first half focuses on uncovering the fact that the philosophy of education has been slighted both in Japanese and (...) Western academia and that this fact is valid for both Aristotle's and contemporary studies on the philosophy of education; the second half endeavors to describe two possible research projects - namely, a classical-philosophical and interpretative study of Aristotle's philosophy of education and a contemporary-philosophical and Aristotelian study of the philosophy education. Some of these topics have been published but others have not. This short article concerns the first half of the lecture and measures the gap between philosophy and the philosophy of education in Japan through a statistical survey of the largest competitive research funding database in Japan: KAKEN. (shrink)

From a statistician's viewpoint, the concepts discussed by Chow relating to “statistical” significance bear little resemblance to the concept developed in statistics. Whether or not “statistical significance” has a place in psychological research is a decision for psychologists, not statisticians, to make, but the decision should be based on a less flawed version of what is being considered.

Probability and Statistics: 5 Questions is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in probability and statistics. We hear their views on the fields, aims, scopes, the future direction of research and how their work fits in these respects. Interviews with Nick Bingham, Luc Bovens, Terrence L. Fine, Haim Gaifman, Donald Gillies, James Hawthorne, Carl Hoefer, James M. Joyce, Joseph B. Kadane Isaac Levi, D.H. Mellor, Patrick Suppes, (...) Jan von Plato, Carl Wagner, Sandy Zabell. (shrink)

1. Deductive and Inductive Inference. Within the traditional treatments of scientific method, e.g., in and, it was customary to divide scientific inference into two parts: deductive and inductive. Deductive inference was taken to mean the activity of deducing theorems from postulates and definitions, whereas inductive inference represented the activity of constructing a general statement from a set of particular “facts.” Deductive inference was relegated to the mathematical sciences, and inductive inference to the empirical sciences. As a consequence, the whole of (...) science was split into two quite distinct parts: deductive science was conceived to start with precise axioms, postulates, and definitions, and its method consisted in drawing inferences from these “givens” in such a way that if the original assumptions are taken as true, then the theorems must be taken as true also. The obligation behind this “must” of the mathematical sciences was an obligation based on strict rules of deductive inference; in the earlier analyses, it was supposed that these rules were all aspects of the general theory of the syllogism, as it was described in an almost complete form in but in later work the rules have been formalized in more general terms. Inductive inference, on the other hand, was supposed to start with observed facts; these facts, or “data,” were presumably given by the senses, and described particular aspects of the external world. If the facts were given in a certain way, then the empirical scientist could “infer” a generalized description; this generalization had the characteristic that if it were granted as true, then all the facts could be deduced as consequences. The inductive process admittedly does not lead to unique generalizations, and the philosopher of science searched for other defining characteristics of good inference, such as “simplicity” and “convenience.” These empirical generalizations were taken to be “descriptions of the phenomenal world of the scientist”; a further inductive step might be taken by constructing a set of very general principles out of the more specialized generalizations within specific research problems. These “higher” inductive inferences were regarded as “theories,” which could be studied by themselves within the method of deductive inference. The scientist was then described as “checking” theory by determining whether or not the predicted consequences deduced from theory actually hold in the phenomenal world. (shrink)

Researchers rely on psychometric principles when trying to gain understanding of unobservable psychological phenomena disconfounded from the methods used. Psychometric models provide us with tools to support this endeavour, but they are agnostic to the meaning researchers intend to attribute to the data. We define method effects as resulting from actions which weaken the psychometric structure of measurement, and argue that solution to this confounding will ultimately rest on testing whether data collected fit a psychometric model based on a substantive (...) theory, rather than a search for a model that best fits the data. We highlight the importance of taking the notions of fundamental measurement seriously by reviewing distinctions between the Rasch measurement model and more generalised 2PL and 3PL IRT models. We then present two lines of research that highlight considerations of making method effects explicit in experimental designs. First, we contrast the use of experimental manipulations to study measurement reactivity during the assessment of metacognitive processes with factor-analytic research of the same. The former suggests differential performance-facilitating and -inhibiting reactivity as a function of other individual differences, whereas factor-analytic research suggests a ubiquitous monotonically predictive confidence factor. Second, we evaluate differential effects of context and source on within-individual variability indices of personality derived from multiple observations, highlighting again the importance of a structured and theoretically grounded observational framework. We conclude by arguing that substantive variables can act as method effects and should be considered at the time of design rather than after the fact, and without compromising measurement ideals. (shrink)

In the 24 years since the founding of BioEssays, the level of translational research, as well as the expectations for its success, have burgeoned. Based on our analysis of current and projected US efforts to establish effective centers of translational research, our own institutional experience and discussions with academic research center leaders and institutional research executives, we have arrived at several critical conclusions about how best to foster disease‐based research on the institutional, national and international (...) level, what summary statistics may best serve as a measurement of successful practice, roughly how much more money will be required to fund the ongoing venture in the US and how to organize and promote this vision. BioEssays 30:1025–1029, 2008. © 2008 Wiley Periodicals, Inc. (shrink)

Recent findings suggest that medical students’ moral competence decreases throughout medical school. This pilot study gives preliminary insights into the effects of two educational interventions in ethics classes on moral competence among medical students in Munich, Germany. Between 2012 and 2013, medical students were tested using Lind’s Moral Competence Test prior to and after completing different ethics classes. The experimental group participated in principle-based structured case discussions and was compared with a control group with theory-based case discussions. The pre/post C-scores (...) were compared using a Wilcoxon Test, ANOVA and effect-size calculation. The C-score improved by around 3.2 C-points in the EG, and by 0.2 C-points in the CG. The mean C-score difference was not statistically significant for the EG or between the two groups. There was no statistical significance for the teachers’ influence on C-score. In both groups, students with below-average C-scores improved and students with above-average C-scores regressed. The increase of the C-Index was greater in the EG than in the CG. The absolute effect-size of the EG compared with the CG was 3.0 C-points, indicating a relevant effect. Teaching ethics with PBSCDs did not provide a statistically significant influence on students’ moral competence, compared with TBCDs. Yet, the effect size suggests that PBSCDs may improve moral competence among medical students more effectively. Further research with larger and completely randomized samples is needed to gain definite explanations for the results. (shrink)

BACKGROUND AND RATIONALE: Evidence based medicine is the present backbone of rational and objective, modern medical problem solving and is a meeting ground for quantitative and qualitative researchers alike as it culminates into applying the fruits of clinical research to the individual patient. A systematic enquiry into the evolving paradigms in EBM is a need of the hour. AIMS AND METHODS: A qualitative enquiry examining the impact of different methodologies in EBM and their role in generating meaning interpretable at (...) individual levels. RESULTS: Present day outcome based research deals less with patients as individuals than as populations. Evidence based medicine struggles to apply the fruits of population based research to individuals who are often not as predictable as linear quantitative research would like them to be. The present EBM literature neglects a lot of events it doesn't believe to be statistically significant and perhaps here is an area that needs to be improved on - it assumes that because associations are demonstrated between interventions and outcomes in RCTs/meta-analysis, these associations are linear and causal in the real world. While they may be demonstrated repeatedly in highly controlled environments, in the real 'uncontrolled' world of clinical practice with real people, their validity breaks down. CONCLUSIONS: One needs to make the EBM standard model patient-individual (a projection of collective patient event data) resemble the real human individual patient so that optimal EBM individual data that matches our query can be easily and quickly spotted from the dense jungle of information that has grown over the years. This hints at rethinking our entire research methodology and modifying it to suit the needs of the individual patient. (shrink)

This article considers ethnographic field research in order to analyze the violence and exploitation inherent to our transnational agro-food system and the ways in which temporality and statistics may aid in making visible and invisible certain experiences of migrant farmworker injury as well as individual and collective actions for wellbeing. Based in long-term, in-depth ethnographic research, this article utilizes theories of temporality and events in order to highlight social and health inequalities in agricultural labor and encourage agricultural, food (...) and health scholars to consider critically the effects of our methods. Juxtaposing the injury and health care experiences of one Mexican migrant farmworker with statistics on the health and health care of migrant and seasonal farmworkers more generally, the article confronts both the normalization of migrant farmworker injury and the taken-for-granted helpfulness of quantitative and qualitative research alike. In addition, the argument acknowledges the everyday, individual practices and collective actions migrant farmworkers engage into demand and build wellbeing for themselves, their families and beyond. (shrink)

Research on moral psychology has frequently appealed to three, apparently consistent patterns: Males are more likely to engage in transgressions involving harm than females; educated people are likely to be more thorough in their moral deliberations because they have better resources for rationally navigating and evaluating complex information; political affiliations and religious ideologies are an important source of our moral principles. Here, we provide a test of how four factors ‐ gender, education, politics and religion ‐ affect intuitive moral (...) judgments in unfamiliar situations. Using a large-scale sample of participants who voluntarily logged on to the internet-based Moral Sense Test, we analyzed responses to 145 unique moral and conventional scenarios that varied widely in content. Although each demographic or cultural factor sometimes yielded a statistically significant difference in the predicted direction, these differences were consistently associated with extremely small effect sizes. We conclude that gender, education, politics and religion are likely to be relatively insignificant for moral judgments of unfamiliar scenarios. We discuss these results in light of current debates concerning the mechanisms underlying our moral judgments and, especially, the idea that we share a universal moral sense that constrains the range of cross-cultural variation. (shrink)

NHSTP is embedded in the research of “cognitive science.” Its use is based on unstated assumptions about the practices of sampling, “operationalizing,” and using group data. NHSTP has facilitated both research and theorizing – research findings of limited interest – diverse theories that seldom complement one another. Alternative methods are available for data acquisition and analysis, and for assessing the “truth- value” of generalizations.

The convergence of increasingly efficient high throughput sequencing technology and ubiquitous Internet use by the public has fueled the proliferation of companies that provide personal genetic information (PGI) direct-to-consumers. Companies such as 23andme (Mountain View, CA) and Navigenics (Foster City, CA) are emblematic of a growing market for PGI that some argue represents a paradigm shift in how the public values this information and incorporates it into how they behave and plan for their futures. This new class of social networking (...) business ventures that market the science of the personal genome illustrates the new trend in collaborative science. In addition to fostering a consumer empowerment movement, it promotes the trend of democratizing information—openly sharing of data with all interested parties, not just the biomedical researcher—for the purposes of pooling data (increasing statistical power) and escalating the innovation process. This target article discusses the need for new approaches to studying DTC genomics using social network analysis to identify the impact of obtaining, sharing, and using PGI. As a locus of biosociality, DTC personal genomics forges social relationships based on beliefs of common genetic susceptibility that links risk, disease, and group identity. Ethical issues related to the reframing of DTC personal genomic consumers as advocates and research subjects and the creation of new social formations around health research may be identified through social network analysis. (shrink)

Background The increase in empirical methods of research in bioethics over the last two decades is typically perceived as a welcomed broadening of the discipline, with increased integration of social and life scientists into the field and ethics consultants into the clinical setting, however it also represents a loss of confidence in the typical normative and analytic methods of bioethics. Discussion The recent incipiency of "Evidence-Based Ethics" attests to this phenomenon and should be rejected as a solution to the (...) current ambivalence toward the normative resolution of moral problems in a pluralistic society. While "evidence-based" is typically read in medicine and other life and social sciences as the empirically-adequate standard of reasonable practice and a means for increasing certainty, I propose that the evidence-based movement in fact gains consensus by displacing normative discourse with aggregate or statistically-derived empirical evidence as the "bottom line". Therefore, along with wavering on the fact/value distinction, evidence-based ethics threatens bioethics' normative mandate. The appeal of the evidence-based approach is that it offers a means of negotiating the demands of moral pluralism. Rather than appealing to explicit values that are likely not shared by all, "the evidence" is proposed to adjudicate between competing claims. Quantified measures are notably more "neutral" and democratic than liberal markers like "species normal functioning". Yet the positivist notion that claims stand or fall in light of the evidence is untenable; furthermore, the legacy of positivism entails the quieting of empirically non-verifiable considerations like moral claims and judgments. As a result, evidence-based ethics proposes to operate with the implicit normativity that accompanies the production and presentation of all biomedical and scientific facts unchecked. Summary The "empirical turn" in bioethics signals a need for reconsideration of the methods used for moral evaluation and resolution, however the options should not include obscuring normative content by seemingly neutral technical measure. (shrink)

Statistical network models have been used to study the competition among different products and how product attributes influence customer decisions. However, in existing research using network-based approaches, product competition has been viewed as binary, while in reality, the competition strength may vary among products. In this paper, we model the strength of the product competition by employing a statistical network model, with an emphasis on how product attributes affect which products are considered together and which products are ultimately purchased (...) by customers. We first demonstrate how customers’ considerations and choices can be aggregated as weighted networks. Then, we propose a weighted network modeling approach by extending the valued exponential random graph model to investigate the effects of product features and network structures on product competition relations. The approach that consists of model construction, interpretation, and validation is presented in a step-by-step procedure. Our findings suggest that the weighted network model outperforms commonly used binary network baselines in predicting product competition as well as market share. Also, traditionally when using binary network models to study product competitions and depending on the cutoff values chosen to binarize a network, the resulting estimated customer preferences can be inconsistent. Such inconsistency in interpreting customer preferences is a downside of binary network models but can be well addressed by the proposed weighted network model. Lastly, this paper is the first attempt to study customers’ purchase preferences and car competition together using weighted directed networks. (shrink)

The problem of understanding how statistical inference is, and can be, applied in empirical sciences is important for the methodology of science. It is the objective of this paper to gain a better understanding of the role of statistical methods in scientific modeling. The important question of whether the applicability reduces to the representational properties of statistical models is discussed. It will be shown that while the answer to this question is positive, representation in statistical models is not purely structural. (...) In spite of the fact that representation in statistical models is based on the structural similarities between the statistical model and the empirical systems under study, these relationships are shown to be appropriate for representing relations in the target system by agent function, too. A second aspect of the paper involves the claim that agent-based components of statistical modeling are: a) interpretation of random variables, b) selection of the goal of statistical research, and c) selection of estimator properties. To justify these claims, a preliminary discussion will be presented on the role of statistics in modeling, as in regression and other structural models. This role will be explored and realized using a structural viewpoint. Also the role of statistical estimation in statistical modeling is discussed to explain the representational role of models and the inferential role of the agent in modeling. (shrink)

Education in statistics, the application of statistics in scientific research, and statistics itself as a scientific discipline are in crisis. Within science, the main cause of the crisis is the insufficiently clarified concept of probability. This article aims to separate the concept of probability which is scientifically based from other concepts that do not have this characteristic. The scientifically based concept of probability is Kolmogorov’s concept of probability models together with the conditions of their applicability. Bayesian statistics is based (...) on the subjective concept of probability, and as such can only have a heuristic value in searching for the truth, but it cannot and must not replace the truth. The way out of the crisis should take Kolmogorov and Bayesian analysis as elements, each of which has a well-defined and limited use. Only together with qualitative analysis and other types of quantitative analysis, and combined with experiments, they can contribute to reaching correct conclusions. (shrink)

This research proposes an educational program based on an integrative approach to classroom management and examines its impact on the psychological well-being of fifth-grade primary school students. The researcher employed the descriptive method and constructed three observation cards to measure the psychological well-being of these students. These cards were applied by the classroom counselor and the researcher to both the experimental and control groups. For the second card, students answered its items using the individual interview method conducted by the (...) researcher. Each observation card included thirteen items with similar content. The research also utilized a quasi-experimental method with partial control for two equivalent samples. A proposed program was developed to be applied to the experimental group of the current research. Various statistical methods were used, including Chi-square, Pearson correlation coefficient, Spearman-Brown equation, t-test for one sample, Wilcoxon test for two related samples, and the alpha equation. The results of this research indicated that the educational program was more effective than the traditional teaching method. There was a positive impact on the psychological well-being of fifth-grade students in social studies due to the application of the educational program based on the integrative approach to classroom management. (shrink)

The growing availability of computer power and statistical software has greatly increased the ease with which practitioners apply statistical methods, but this has not been accompanied by attention to checking the assumptions on which these methods are based. At the same time, disagreements about inferences based on statistical research frequently revolve around whether the assumptions are actually met in the studies available, e.g., in psychology, ecology, biology, risk assessment. Philosophical scrutiny can help disentangle 'practical' problems of model validation, and (...) conversely, a methodology of statistical model validation can shed light on a number of issues of interest to philosophers of science. (shrink)

This study employs Bayesian inference to explore class-based differences in moral judgment. Based on the dual-process perspective in interdisciplinary action theory, we estimate in a first step a process model which differentiates parametrically between emotionally driven deontological, deliberatively driven utilitarian, and residual judgmental inclinations. In a second step, our estimates of these parameters are correlated via beta regressions with indicators of social class and thinking dispositions. We find a considerable association between social class, specifically income, and deontological inclinations, whereas consequentialist (...) inclinations correlate with thinking dispositions but not with social class. This research underscores the utility of Bayesian estimation in closing the gap between theoretical and statistical modelling. Employing this approach enhances our understanding of the nuanced interplay between intuitive and deliberative processes in moral judgment and, more generally, offers a promising direction for advancing sociological action theory. (shrink)

Purpose Intellectual honesty and integrity are the cornerstones of conducting any form of research. Over the last few years, scholars have shown great concerns over questionable research practices (QRPs) in academia. This study aims to investigate the questionable research practices amongst faculty members of medical and dental colleges in Pakistan. Method A descriptive multi-institutional online survey was conducted from June-August 2022. Based on previous studies assessing research misconduct, 43 questionable research practices in four domains: Data (...) collection & storage, Data analysis, Study reporting and Collaboration & authorship were identified and investigated. Descriptive (Frequencies, Percentages, Mean, SD) and Inferential (chi square) statistics were calculated. Results A total of 654 faculty members responded. Every respondent reported committing at least one QRP in their career. The most common QRPs included deliberately failing to mention funding, publishing program evaluation data not meant for research purposes or approved by an ethical body, inappropriately storing identifiable information and non-disclosure of any conflicts. There was significant association of age, gender and academic rank with QRPs in ‘Data collection and storage’ and ‘Data Analysis’ domains. Conclusion Medical and dental faculty members participating in this study are involved in a range of questionable research practices (QRPs) in Pakistan. Their confession might have contributed to the faculty developing self-awareness and reinforcing academic integrity. There is a need for reviewing policies and practices to improve research culture. Future research should explore the factors resulting in such practices. (shrink)

Evidence, as viewed through the lens of statistical significance, is not always as it appears! In the investigation of clinical research findings arising from statistical analyses, a fundamental initial step for the emerging fraud detective is to retrieve the source data for cross-examination with the study data. Recognizing that source data are not always forthcoming and that, realistically speaking, the investigator may be uninitiated in fraud detection and investigation, this paper will highlight some key methodological procedures for providing a (...) sounder evidence base for withdrawing from a study on grounds of integrity. The promotion of patient safety is paramount. However, there is a broader rationale for disseminating these ideas. This includes empowering researchers to optimize their personal integrity, make informed choices regarding membership of future research collaborations and successfully voice their concerns to journal editors, particularly where a conflict of interests can render such dialogues particularly difficult. Recommendations will be supported by topical case studies and practical steps involving data exploration, testing of baseline data and application of Benford’s Law. While this paper has a clinical focus, the advice provided is transferrable to a wide range of multidisciplinary research settings outside of Medicine. (shrink)

In the current climate of dramatic advances in the neurosciences, it has been widely assumed that the diagnosis of mental disorder is a matter exclusively for value-free science. Starting from a detailed case history, this paper describes how, to the contrary, values come into the diagnosis of mental disorders, directly through the criteria at the heart of psychiatry's most scientifically grounded classification, the American Psychiatric Association's DSM (Diagnostic and Statistical Manual). Various possible interpretations of the prominence of values in psychiatric (...) diagnosis are outlined. Drawing on work in the Oxford analytic tradition of philosophy, it is shown that, properly understood, the prominence of psychiatric diagnostic values reflects the necessary engagement of psychiatry with the diversity of individual human values. This interpretation opens up psychiatric diagnostic assessment to the resources of a new skills-based approach to working with complex and conflicting values (also derived from analytic philosophy) called 'values-based practice.' Developments in values-based practice in training, policy and research in mental health are briefly outlined. The paper concludes with an indication of how the integration of values-based with evidence-based approaches provides the basis for psychiatric practice in the twenty-first century that is both science-based and person-centred. (shrink)

In recent years, the research of chaos theory has developed from simple cognition and analysis to practical engineering application. In particular, hyperchaotic systems with more complex and changeable chaotic characteristics are more sensitive and unpredictable, so they are widely used in more fields. In this paper, two important engineering applications based on hyperchaos pseudorandom number generator and image encryption are studied. Firstly, the coupling 6D memristive hyperchaotic system and a 2D SF-SIMM discrete hyperchaotic mapping are used as the double (...) entropy source structure. The double entropy source structure can realize a new PRNG that meets the security requirements, which can pass the NIST statistical test when the XOR postprocessing method is used. Secondly, based on the double entropy source structure, a new image encryption algorithm is proposed. The algorithm uses the diffusion-scrambling-diffusion encryption scheme to realize the conversion from the original plaintext image to the ciphertext image. Finally, we analyze the security of the proposed PRNG and image encryption mechanism, respectively. The results show that the proposed PRNG has good statistical output characteristics and the proposed image encryption scheme has high security, so they can be effectively applied in the field of information security and encryption system. (shrink)

Contestable motives of filing reports comprise a set of factors which were not present in the origin of the reported criminal act, as stated by the reporting individual. The objective of such reports is to create circumstances which would lead to the either an imaginary or implicated perpetrator being brought to criminal justice. These types of reports generate a number of doubts and investigative problems. Recently, in the light of newly introduced legislative changes into the methods of investigative procedures in (...) relation to sexual assault, this issue has become much more significant. The following publication includes a detailed description of the legal and psychological situation of an individual who has been classified as a victim in a case of sexual assault. The article includes an analysis of statistical data encompassing the period after the introduction of the aforementioned legislative changes in the type of investigative procedures as well as a qualitative analysis of the major factors influencing the process of filing contestable reports of such crimes. The research has been conducted on the basis of analysing a total of 50 cases. It is the opinion of the author that an expert court psychologist, whose presence is mandatory in these types of cases and whose opinion formulated in the course of preparatory proceedings ought to play a key role in the disclosure of false pretences accompanying such reports. (shrink)

In this article, Peter and Rowland explore the role of implicit statistical learning in syntactic development. It is often accepted that the processes observed in classic implicit learning or statistical learning experiments play an important role in the acquisition of natural language syntax. As Peter and Rowland point out, however, the results from neither research strand can be used to fully explain how children's syntax becomes adult‐like. They propose to address this shortcoming by using the structural priming paradigm.

Institutional discrimination matters. The purpose of this longitudinal community‐based participatory research study was to examine institutional procedural discrimination, institutional racism, and other institutional discrimination, and their relationships with participants' health during a maternal and child health program in a municipal initiative. Twenty participants from nine multilingual, multicultural community‐based organizations were included. Overall reported incidences of institutional procedural discrimination decreased from April 2019 (18.6%) to November 2019 (11.8%) although changes were not statistically significant and participants reporting incidences remained high (n (...) = 15 in April and n = 14 in November). Participants reported experiencing significantly less “[when] different cultural ways of doing things were shared, the project did not support my way” from April 2019 (23.5%, n = 4) to November 2019 (0%, n = 0), Wilcoxon signed‐rank test Z = −2.00, p < 0.05. Some participants reported experiencing institutional racism (29.4%, n = 5) and other institutional discrimination (5.9%, n = 1). Participants experiencing institutional racism, compared to those who did not, reported a higher impact of the Initiative's program on their quality of life (t = 3.62, p < 0.01). Participatory survey designs enable nurse researchers to identify hidden pathways of institutional procedural discrimination, describe the impacts experienced, and examine types of institutional discrimination in health systems. (shrink)