By bootstrapping the output of the PC algorithm (Spirtes et al., 2000; Meek 1995), using larger conditioning sets informed by the current graph state, it is possible to define a novel algorithm, JPC, that improves accuracy of search for i.i.d. data drawn from linear, Gaussian, sparse to moderately dense models. The motivation for constructing sepsets using information in the current graph state is to highlight the differences between d-­‐separation information in the graph and conditional independence information extracted from the sample. (...) The same idea can be pursued for any algorithm for which conditioning sets informed by the current graph state can be constructed and for which an orientation procedure capable of orienting undirected graphs can be extracted. Another plausible candidate for such retrofitting is the CPC algorithm (Ramsey et al, 2006), yielding an algorithm, JCPC, which, when the true graph is sparse is somewhat more accurate than JPC. The method is not feasible for discovery for models of categorical variables, i.e., traditional Bayes nets; with alternative tests for conditional independence it may extend to non-­‐linear or non-­‐Gaussian models, or both. (shrink)

Vogel argues that sensitivity accounts of knowledge are implausible because they entail that we cannot have any higher-level knowledge that our beliefs are true, not false. Becker and Salerno object that Vogel is mistaken because he does not formalize higher-level beliefs adequately. They claim that if formalized correctly, higher-level beliefs are sensitive, and can therefore constitute knowledge. However, these accounts do not consider the belief-forming method as sensitivity accounts require. If we take bootstrapping as the belief-forming method, as (...) the discussed cases suggest, then we face a generality problem. Our higher-level beliefs as formalized by Becker and Salerno turn out to be sensitive according to a wide reading of bootstrapping, but insensitive according to a narrow reading. This particular generality problem does not arise for the alternative accounts of process reliabilism and basis-relative safety. Hence, sensitivity accounts not only deliver opposite results given different formalizations of higher-level beliefs, but also for the same formalization, depending on how we interpret bootstrapping. Therefore, sensitivity accounts do not fail because they make higher-level knowledge impossible, as Vogel argues, and they do not succeed in allowing higher-level knowledge, as Becker and Salerno suggest. Rather, their problem is that they deliver far too heterogeneous results. (shrink)

This paper aims at resolving a puzzle about the persuasiveness of bootstrapping. On the one hand, bootstrapping is not a persuasive method of settling questions about the reliability of a source. On the other hand, our beliefs that our sense apparatus is reliable is based on other empirically formed beliefs, that is, they are acquired via a presumably complex bootstrapping process. I will argue that when we doubt the reliability of a source, bootstrapping is not a persuasive method (...) for coming to believe that the source is reliable. However, when being initially unaware of a source and its reliability, as in the case of forming beliefs about our sense apparatus, bootstrapping can be eventually persuasive. (shrink)

Recent discussion of Vogel-style “bootstrapping” scenarios suggests that they provide counterexamples to a wide variety of epistemological theories. Yet it remains unclear why it’s bad for a theory to permit bootstrapping, or even exactly what counts as a bootstrapping case. Going back to Vogel's original bootstrapping example, I note that an agent who could gain justification through the method Vogel describes would have available a “no-lose investigation”: an investigation that can justify a proposition but has no possibility of undermining (...) it. The main suggestion of this article is that an epistemological theory should not permit no-lose investigations. I identify necessary and sufficient conditions for such investigations, then explore epistemological theories that rule them out. If we want to avoid both skepticism and no-lose investigations, we must eschew either Closure or epistemic externalism. (shrink)

Reliabilism is an intuitive and attractive view about epistemic justification. However, it has many well-known problems. I offer a novel condition on reliabilist theories of justification. This method coherence condition requires that a method be appropriately tested by appeal to a subject’s other belief-forming methods. Adding this condition to reliabilism provides a solution to epistemic circularity worries, including the bootstrapping problem.

This article offers a descriptive and analytic view of the different stages leading to the constitution of a corpus that is representative of the issues of climate and energy justice. Overall, the corpus contains over five million words and gathers reports, newsletters and web-pages dealing with the most equitable ways of moving to a low-carbon future in the aim of limiting climate change. It can be divided into six sub-corpora, according to types of discourse communities, and methods of constitution. We (...) begin by presenting the small Do It Yourself (DIY) corpora which were used as a starting point. Three discourse communities were selected to observe possible variation in their treatment of the issue: Non-Governmental Organisations (NGOs), United-Nation institutions, and the Renewable Energy Sector (RES). The sources are selected according to author, date, keywords in title. Using the concordance Antconc and WMatrix software we test the reliability of the corpora for their thematic content, terminology and lexical unit classification. Our first results enable us to confirm variation between the discourse communities. The discrepancy in sizes and the time-consuming nature of the initial DIY corpus constitution lead us to use BootCat to extend them, using keywords from the corpora as seeds to retrieve and download webpages. We thus contrast a more traditional approach to corpus building to web-as-corpus data gathering methods. We compare the results found in the BootCat corpora to test if they are as specific as those in the DIY corpora. This enables us to draw conclusions on the possible uses and advantages of relatively small corpora for the study of specialised discourse. (shrink)

Econometric Theory and Methods International Edition provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix (...) estimators, artificial regressions, estimating functions and the generalized method of moments, indirect inference, and kernel estimation. Every chapter incorporates numerous exercises, some theoretical, some empirical, and many involving simulation. (shrink)

The aim of this article is to mount a challenge to gesture-first hypotheses about the evolution of language by identifying constraints on the emergence of symbol use. Current debates focus on a range of pre-conditions for the emergence of language, including co-operation and related mentalising capacities, imitation and tool use, episodic memory, and vocal physiology, but little specifically on the ability to learn and understand symbols. It is argued here that such a focus raises new questions about the plausibility of (...) gesture-first hypotheses, and so about the evolution of language in general. After a brief review of the methodology used in the article, it is argued that existing uses of gesture in hominid communities may have prohibited the emergence of symbol use, rather than ‘bootstrapped’ symbolic capacities as is usually assumed, and that the vocal channel offers other advantages in both learning and using language. In this case, the vocal channel offers a more promising platform for the evolution of language than is often assumed. (shrink)

A SEM-based approach using likelihood-based confidence interval has been proposed to form confidence intervals for unstandardized and standardized indirect effect in mediation models. However, when used with the maximum likelihood estimation, this approach requires that the variables are multivariate normally distributed. This can affect the LBCIs of unstandardized and standardized effect differently. In the present study, the robustness of this approach when the predictor is not normally distributed but the error terms are conditionally normal, which does not violate the distributional (...) assumption of ordinary least squares estimation, is compared to four other approaches: nonparametric bootstrapping, two variants of LBCI, LBCI assuming the predictor is fixed and LBCI based on ADF estimation, and Monte Carlo. A simulation study was conducted using a simple mediation model and a serial mediation model, manipulating the distribution of the predictor. The Monte Carlo method performed worst among the methods. LBCI and LBCI-Fixed-X had suboptimal performance when the distributions had high kurtosis and the population indirect effects were medium to large. In some conditions, the problem was severe even when the sample size was large. LBCI-ADF and nonparametric bootstrapping had coverage probabilities close to the nominal value in nearly all conditions, although the coverage probabilities were still suboptimal for the serial mediation model when the sample size was small with respect to the model. Implications of these findings in the context of this special case of nonnormal data were discussed. (shrink)

PurposeThe purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed.Design/methodology/approachData was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of (...) the standardized direct and indirect effects in the model.FindingsThe study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.Research limitations/implicationsThe research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.Practical implicationsThe study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.Social implicationsThe use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.Originality/valueThis was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India. (shrink)

This study aimed to analyze the mediating effect of tolerance of uncertainty and trait anxiety on future self-continuity and intention to use Internet wealth management systems. A questionnaire survey was distributed online and a total of 388 participants completed questionnaire, The questionnaire included the following scales: Chinese version of the FSC, Intention to Use the Internet Wealth Management, TU, and TA. Pearson correlation was used to investigate the correlation coefficient between variables while the sequential regression method was used to (...) analyze relationship between variables. To analyze the collected data, the SPSS 26.0 was used. A two-step procedure was applied to analyze the mediation effect. Confirmatory factor analysis was conducted to test the measurement model. Afterward, the Maximum Likelihood method was used for path analysis, and the Bias-corrected Bootstrap method was used to investigate determine the estimated value and confidence interval of the mediating effect. To analyze the mediation effect, the Mplus 7.0 was used. The results showed that FSC positively predicted individuals’ Internet wealth management systems. Furthermore, TU and TA played complete serial multiple mediating roles between FSC and IUIWM. The role of TA and TU have negative impact on intention to use. This study provides a theoretical basis in personality psychology that Internet financial product suppliers can use to improve the attractiveness of their products. Product managers can subdivide users according to these personality traits to provide customized products. (shrink)

Research shows that entrepreneurial activities significantly promote economic development, which enhances the importance of the innovative entrepreneurial potential of college students. This study analyzes the effect of entrepreneurship education on entrepreneurial intention from the perspective of planned behavior theory. By examining the significant role of entrepreneurship education at colleges and universities on economic and social development, we established a conceptual model. To understand the relationship between entrepreneurship education and entrepreneurial intention, the hypotheses propose the intermediary role of entrepreneurial ability, and (...) the study provides evidence from China the relationship between entrepreneurship education and entrepreneurial intention. Improving entrepreneurial intention and encouraging college students to establish businesses through entrepreneurship education in universities is crucial. This study proposes a hypothetical model of the relationship between entrepreneurial competence and entrepreneurial intention in entrepreneurship education at universities. Using a questionnaire survey of college students with practical experience in the Yangtze River Delta of China, the bootstrap method in the SPSS macro program process software verifies the hypotheses. The results show that entrepreneurial teaching, business plan competition, and entrepreneurial practice support positively affect entrepreneurial competence. In addition, entrepreneurial competence plays an intermediary role in the relationship between entrepreneurial teaching, business plan competition, entrepreneurship practice support, and entrepreneurial intention. Entrepreneurship education improves the ability to establish a business in the present and in entrepreneurial activities in the future. Entrepreneurial competence obtained through entrepreneurship education continuously affects entrepreneurial intention. (shrink)

There is currently much debate in the economic literature about whether ethical investment involves a financial sacrifice or premium. One of the most common methods of testing this compares the financial performance of ethical investment funds with that of other funds not considered “socially responsible” or ethical. The majority of these research studies evaluate the performance of the ethical funds according to classic measures, whereby different financial markets, in different countries and for different periods of time serve as reference for (...) evaluation. The ultimate conclusion of all of these studies is that there are no significant differences between the performance results of one type of funds and the other. In Spain, ethical investment funds are still an incipient sector of investment. To date, the Spanish market has not been included in any type of analysis of these characteristics. Therefore the main objective of this article is to compare the financial performance of ethical investment funds to that of other funds in the Spanish retail market. We propose the aggregate type of analysis as the Spanish ethical investment funds have experienced a weaker development in comparison to those of other developed countries. In the first step we suggest the financial performance to be compared by style analysis since the asset distribution of the Spanish Social Return Investment (SRI) funds differs from the European trend. In particular, we use the multifactor regression model with style benchmarks. We found that their financial performance is in all cases superior or similar to that achieved by the rest of the funds. In the second step, to achieve a more robust and homogeneous comparison, we used the bootstrap method, comparing ethical and non-ethical fund subsamples by homogeneous groups. No significant differences between these two types of funds have been found. Thus, if we assume the positive o neutral effect of ethical investment on investor utility in the retail Spanish market the financial and social performance (FSP) of ethical funds will be, in aggregate, superior to the FSP achieved by conventional funds. In conclusion, the financial performance of ethical mutual funds in Spain is no sacrifice. (shrink)

The rapid development of artificial intelligence has brought many opportunities and challenges to organization. Some studies have shown that AI can improve organizational creativity. However, the existing research lacks an effective transformation path. This paper makes an innovative approach from the perspective of knowledge sharing, establishes an integration model of artificial intelligence capability, knowledge sharing and organizational creativity. Based on 189 questionnaire data, we use multi-level regression analysis and bootstrap method to analyze the influence mechanism. The results show (...) that artificial intelligence has a positive effect on knowledge sharing, knowledge sharing has a positive effect on organizational creativity, knowledge sharing mediates the relationship between artificial intelligence and organizational creativity, and organizational cohesion has a positive moderating effect on the relationship between artificial intelligence and knowledge sharing. The results supplement the existing research on the relationship between artificial intelligence capability and organizational creativity, expand the theoretical boundary and application space from the perspective of knowledge sharing at the organizational level, and provide reference for organizations to improve creativity. (shrink)

This study uses personality and psychology health characteristics of high school students as intermediary variables to study how cognitive ability affects academic performance, and analyzes memory, information processing, presentation, logical reasoning, and thinking transformation ability in high school students. In this study, the structural equation model was used to analyze the mediating effect, and the bootstrap method was used to test the significance of the mediating effect. The participants were 572 high school students from Beijing, China. They completed (...) a survey that included questions on cognitive ability, personality characteristics, and psychology health. This study uses structural equation modeling for mediation analysis. Through the analysis of four models of comprehensive academic performance, Chinese academic performance, mathematics academic performance, and English academic performance, the results of the study showed that cognitive ability has a significant effect on academic performance, and personality characteristics and psychology health play a partially mediating role between cognitive ability and English academic performance. The mediation effect is about 40%. (shrink)

Objective: This study aimed to contribute to understanding the mechanisms underlying the association between empowering motivational climate in physical education and social responsibility among high school students, and have important implications for interventions aimed at improving social responsibility among high school students.Methods: Through the quota sampling, 802 students that complied with the requirements were surveyed from Anhui Province in China. Empowering motivational climate in physical education, social responsibility, interpersonal disturbance, and general self-efficacy were assessed using standard scales. For data analysis, (...) Pearson’s correlation analysis, structural equation model test, and bias-corrected percentile Bootstrap method were carried out in turn.Results: Common method biases can be accepted in this study, and the correlation among empowering motivational climate in physical education, social responsibility, interpersonal disturbance, and general self-efficacy are all significant; Empowering motivational climate in physical education, interpersonal disturbance and general self-efficacy can all predict social responsibility significantly; Structural equation modeling indicates good fit: χ2/df = 2.86, RMESA = 0.068, CFI = 0.92, NNFI = 0.91, NFI = 0.90, GFI = 0.93. It indicates that interpersonal disturbance and general self-efficacy can play mediating roles between empowering motivational climate in physical education and social responsibility, respectively. After that, interpersonal disturbance as well as general self-efficacy in turn plays the chain mediating effect in the relationship between empowering motivational climate in physical education and social responsibility. The effect size of the mediating effect of interpersonal disturbance and general self-efficacy in the relationship between empowering motivational climate in physical education and social responsibility is 0.048 and 0.148, respectively, and the effect size of the chain mediating effect is 0.031.Conclusion: Empowering motivational climate in physical education not only has a direct effect on social responsibility among high school students, but also influences social responsibility by the chain mediating effect of interpersonal disturbance and general self-efficacy. (shrink)

The purpose of this study was to examine the determinants for early discontinuation among IUCD users in a rural district of northern India. Multivariate analysis indicated several significant predictors of early discontinuation of IUCD use. The risk of discontinuation increased more than two times in the presence of factors such as more than usual amount of menstrual flow before insertion and intermenstrual bleeding after insertion. Similarly, residence or alternatively those coming from villages without health centres were nearly two times more (...) likely to discontinue. Menstrual disturbance increased the risk nearly three-fold. If only those women who report normal menstrual cycles had IUCDs inserted, it is very likely that the high discontinuation rate due to menstrual disturbance could be reduced. Knowledge about the IUCD and its effectiveness decreased the risk of early discontinuation but was not a statistically significant factor in multivariate analysis. Validation of the developed model was done by using the bootstrapping method and the model was found to be 18% noisy. These findings may help family planning providers in counselling and practice. (shrink)

Good knowledge management is important for enterprises to maintain competitive advantage; however, the knowledge hiding behavior may hinder this process. Based on the conservation of resources and psychological ownership theories, using a chain intermediary model, this study investigates the effect of justice sensitivity on knowledge hiding through perceived time pressure and territoriality, and further tests the moderating role of territoriality. For the study, we collected 436 questionnaires from China through the Wenjuanxing Sample Service, of which 391 were valid. We then (...) conducted multiple regression analysis and employed the bootstrap method for our tests. The results show that victim sensitivity has a significant effect on perceived time pressure, territoriality, and knowledge hiding, and that a chain mediating effect of perceived time pressure and territoriality is established between justice sensitivity and knowledge hiding. Further, territoriality has a positive moderating effect on perceived time pressure and knowledge hiding, while the mediating effect of perceived time pressure on justice sensitivity and knowledge hiding is also moderated by territoriality. Further, the study offers important practical implications in that enterprises should not blindly pursue results by making employees work excessively overtime. And there should have rationalized regulations in organization to ensure justice. The management should pay close attention to the psychological problems of victim and perpetrator. Instead, enterprises should have a certain degree of control, offer rationales for overtime work, and give high wages to the employees to compensate for their time, thus making the employees feel the worthiness of their overtime work and reducing the probability of engaging in knowledge hiding behaviors. (shrink)

Summary The importance of the problem of how to integrate psychology and methodology was rediscovered by Oswald Külpe. He noted that Wundt's psychology was inadequate and that a new methodology was needed to construct an alternative. Külpe made real progress but his program turned out to be quite difficult: he had no appropriate method for integrating the two fields. August Messer tried to fill the gap but failed. The problem was largely dropped due to poor methods at hand for (...) studying it but remained important due to Popper's methodology and de Groot's psychology at least. We may now more effectively return to it by using a bootstrap method. (shrink)

This study investigates the effect of socio-ecological networks on the willingness to communicate in English among Japanese people. Previous studies have shown that relational mobility, which is defined as the availability of opportunities to choose new relationship partners, positively affects the WTC in English for Japanese people. However, the network structure of the variables of relational mobility and its effects have not been revealed yet. The present study conducted network analysis with 474 Japanese university students and found the two clusters (...) that correspond to the dimensions of relational mobility in the partial correlation network. Three variables regarding opportunities to meet new people and leave current relationships positively affected the WTC in English; one had a negative effect. Centrality indices, such as nodes strength, betweenness, and closeness, revealed the centrality of several variables in the network. Bootstrapping methods showed the trustworthiness of the estimated network structure and centrality indices as well as edges and variables whose effects differed significantly from that of others. Contrary to the regression analysis results, the network analysis findings can help us understand the in-depth effect of relational mobility on the WTC in a second language, which will prove useful for intervention studies. (shrink)

PurposePrevious studies on cyberloafing focus on individual and organization factors, ignoring the situation of employes as the event observers. Drawing on affective events theory, the present study proposed a theoretical model for the relationships among peer abusive supervision, negative affectivity, cyberloafing, and hostile attribute bias, which aims to bridge the above research gap.MethodologyMultiwave data of 355 employes from 8 service-oriented companies in Southwest China supported our model. Time-lag method and critical incident techniques were introduced during the data collection stage. (...) Ordinary least squares regression and bootstrapping method were employed for hypothesis test.FindingsThe empirical results indicated that peer abusive supervision was positively related to third party’s cyberloafing, and the third party’s negative affectivity plays a mediating role among the above relationships. In addition, the third party’s hostile attribution bias moderated the mediating role of third party’s negative affectivity. Specifically, the effect of peer abusive supervision on third party’s negative affectivity and the mediating effect of this negative affectivity were stronger when the third party’s hostile attribution bias was higher.OriginalityDrawing on AET, the current study constructed a process model of third party’s cyberloafing reactions to peer abusive supervision, which helps explain the affective mechanism and the boundary conditions of the above “events-affectivity-behavior” path. Our model is a positive response to previous scholars’ calls for research of abusive supervision from multiple perspectives. Meanwhile, the current study explored the antecedent variable of cyberloafing from the perspective of event observers, which provides a theoretical basis for follow-up-related research. Thirdly, this study further expanded the theoretical boundaries of AET. (shrink)

Based on the antecedent variable and the outcome variable on the individual level, we introduce mediating variables, integrate moderating variables to construct the conceptual model and theoretical framework of the influence mechanism of playfulness personality on creative deviance of employees. Based on the questionnaire survey data of employees in high-tech enterprises, this study adopts the nonparametric percentile Bootstrap method based on deviation correction to empirically discuss the influence mechanism of employee playfulness personality on employee creative deviance. The empirical (...) analysis results show that employee playfulness personality has a significant positive influence on employee creative deviance. Positive impression management motivation and harmonious innovation passion partially mediate the relationships between employee playfulness personality and creative deviance. Employee growth need strength negatively moderates the relationships between positive impression management motivation and employee creative deviance. The stronger the employee growth need strength, the weaker the mediating effect of employees' playfulness personality on employee creative deviance through positive impression management motivation, and there is a moderated mediating effect. (shrink)

Internet addiction among older adults is a new problem in many countries. However, previous studies on excessive Internet use have focused more on young people, and only few studies have focused on Internet addiction in older adults. There is a need to continue to expand research on Internet addiction in older adults. This paper aimed to fill the gap in exiting literature. We adopted a self-reported questionnaire to assess the elderly’s interaction with children, loneliness, life satisfaction and Internet addiction among (...) old adults. A total of 241 old people were obtained from data collection in China via online survey with the help of a professional research company. We used OLS regression analysis and bootstrap method to test the hypothesis. The results of the empirical analysis indicated that interaction with children was significantly negatively associated with the Internet addiction of old people; loneliness mediated the relationship between interaction with children and old adults’ Internet addiction; and life satisfaction moderated the effect of interaction with children, and the indirect effect between interaction with children and old adults’ addiction via loneliness was stronger for those with low life satisfaction. Finally, we discussed the theoretical significance, practical implications, limitation of this research. Interventions to improve family function systems especially for older people with low life satisfaction can help prevent the development of Internet addiction. (shrink)

The Physical Exercise Rating Scale, Mindfulness Attention Awareness Scale, Ruminative Thinking Scale, and Pittsburgh Sleep Quality Index are used to conduct the questionnaire among a sample of 1,006 college students to figure out whether there is any correlation between physical exercise and sleep quality in college students as well as how the mechanism of mindfulness and ruminative thinking plays a role in them. For data analysis, the Harman single-factor test was used; for the common method deviation test, Pearson’s correlation (...) analysis, and the mediating effect tested by using the bootstrap method were carried out. Results: Overall, 34% of college students’ sleep quality is poor. The PSQI is positively correlated with ruminative thinking, while both are negatively correlated with the level of physical exercise and mindfulness; the level of physical exercise is positively correlated with the level of mindfulness. Physical exercise can significantly negatively predict sleep quality had no significant predictive effect on sleep quality. After controlling for age and gender, physical exercise appears to have an impact on sleep quality of college students through the independent intermediary role of mindfulness and ruminative thinking and the chain intermediary role of mindfulness and ruminative thinking, with a total mediating effect value of −0.007. This study reveals the relationship between physical exercise and sleep quality, as well as its mechanism, thus guiding college students to actively participate in physical exercise. It also provides corresponding suggestions to improve sleep quality as well as physical and mental health in college students. (shrink)

BackgroundPrehospital delay is associated with non-modifiable factors such as age, residential region, and disease severity. However, the impact of psychosocial factors especially for job burnout on prehospital decision delay is still little understood.MethodThis internet-based survey was conducted between 14 February 2021 and 5 March 2021 in China through the Wechat platform and web page. Self-designed questionnaires about the expected and actual length of prehospital decision time and the Chinese version of Maslach Burnout Inventory-General Survey, Type D Personality Scale-14, and Social (...) Support Rating Scale were applied. A total of 1,039 general participants with a history of perceptible but tolerable body discomfort were included.ResultsThe top six reasons for prehospital decision delay were: endure until self-healing, too busy to ask for leave, process for seeing a doctor too complicated, too tired after work, worry about the expenditure, and fear of being identified as with serious problem. The univariate analyses revealed that older age, type D personality, job burnout, and worrying about expenditure were associated with prolonged prehospital decision time, while engaged in medical-related job and with more social support would shorten the delay. The multivariate analysis using logistic regression model with forward selecting method showed that age [per 10 years, odds ratio 1.19, p 7 days). Mediating effects were analyzed by using bias-corrected percentile bootstrap methods. Social support was found partially mediated the relationship between the determinants and prehospital decision time. The partial mediating effect of social support accounted for 24.0% of the total effect for job burnout and 11.6% for worrying about expenditure.ConclusionPsychosocial factors have a non-negligible impact on prehospital decision delay. The crucial part of prehospital decision delay may be the lack of motivation inside. Job burnout and lack of social support, as two commonly seen features in the modern world, should be given enough consideration in disease prevention and treatment. (shrink)

Learning burnout is a pressing issue among Chinese medical undergraduates and Postgraduates and has drawn continuous attention worldwide. Studies have found that problematic smartphone use could affect learning burnout, but more research is needed in this direction. Furthermore, few studies focused on the mediating effect of psychological capital on the relationship between problematic smartphone use and learning burnout. The present study was a cross-sectional survey that recruited 1,800 participants from a medical university in Chongqing, China. A questionnaire based on the (...) Mobile Phone Addiction Tendency Scale, Psychological Capital Questionnaire, Learning Burnout Scale, and demographic variables were administered to these students, and 1,475 provided valid responses. 771 were undergraduates and 704 were postgraduates. Hierarchical regression and the bootstrap method were used to examine the mediating effect of psychological capital. After controlling for demographic variables, problematic smartphone use positively predicted learning burnout in undergraduates and in postgraduates. The partial mediating effect of psychological capital was 0.068 in undergraduates and 0.074 in postgraduates, accounting for 20.67 and 21.64%, respectively, of the total effect of problematic smartphone use on learning burnout. All the 95% confidence intervals did not contain 0. Problematic smartphone use can directly predict learning burnout and their relationship was mediated by psychological capital in Chinese medical undergraduates and postgraduates. Strategies to alleviating problematic smartphone use and enhance psychological capital in medical undergraduates and postgraduates may provide useful suggestions for future interventions on dealing with learning burnout in Chinese medical undergraduates and postgraduates. (shrink)

ObjectivesHostile attribution bias is reportedly common from non-clinical population to those with serious mental illness, such as schizophrenia, and is known to be closely related to theory of mind. This study aimed to investigate whether ToM skills mediate the relationship among neurocognitive ability, personality traits, and attribution bias.MethodsA total of 198 non-clinical youths were recruited. To assess their neurocognitive ability and ToM skills, the participants were asked to complete Raven’s Standard Progressive Matrices and the Korean version of the Reading the (...) Mind in Eyes Test. To determine their personality traits, the Eysenck Personality Questionnaire and interpersonal reactivity index were used. To evaluate hostile attribution bias, the Ambiguous Intentions Hostility Questionnaire was administered. Path analysis and bias-corrected percentile bootstrap methods were used to estimate model fit and the parameters of the mediating effects.ResultsBased on model comparison, the best model characterized two direct pathways from psychoticism and the K-RMET to hostility attribution bias and three indirect pathways, wherein SPM, perspective taking, and psychoticism influenced hostile attribution bias through K-RMET. The final model fit indices were good [x2/df = 1.126; comparative fit index = 0.996; root mean square error of approximation = 0.026; standard root mean square residual = 0.026 and Akaike information criterion = 28.251] and the K-RMET fully mediated the association between SPM, perspective taking, psychoticism, and hostile attribution bias.ConclusionThe main findings suggested that ToM skills, such as the RMET, play an important role in explaining the relationship among neurocognitive ability, personality traits, and hostile attribution bias. ToM skills and a remediation strategy may need to be developed to balance the enhanced hostility bias that underlies the paranoia. (shrink)

This book is primarily about checking and only derivatively about knowing. Checking is a very common concept for describing a subject’s epistemic goals and actions. Surprisingly, there has been no philosophical attention paid to the notion of checking. In Part I, I develop a sensitivity account of checking. To be more explicit, I analyze the internalist and externalist components of the epistemic action of checking which include the intentions of the checking subject and the necessary externalist features of the (...) class='Hi'>method used. Crucially, successfully checking whether p is true requires using a method that is sensitive with respect to p, i.e. a method that would not indicate that p, if p were false. In Part II, I use the distinction between knowing and checking to explain central puzzles about knowledge, particularly puzzles centering on knowledge closure, puzzles concerning bootstrapping and the skeptical puzzle. Moreover, the book clarifies a dispute about modal epistemology, concerning the application of the sensitivity principle. By arguing that sensitivity is necessary for checking but not knowing, I explain where our persisting intuitions about sensitivity have their place in epistemology. (shrink)

A method is described for inducing a type-logical grammar from a sample of bare sentence trees which are annotated by lambda terms, called term-labelled trees . Any type logic from a permitted class of multimodal logics may be specified for use with the procedure, which induces the lexicon of the grammar including the grammatical categories. A first stage of semantic bootstrapping is performed, which induces a general form lexicon from the sample of term-labelled trees using Fulop’s (J Log Lang (...) Inf 14(1):49–86, 2005) procedure. Next we present a two-stage procedure for performing distributional learning by unifying the lexical types that are initially discovered. The first structural unification algorithm in essence unifies the initial family of sets of types so that the resulting grammar will generate all term-labelled trees that follow the usage patterns evident from the learning sample. Further altering the lexical categories to generate a recursively extended language can be accomplished by a second unification. The combined unification algorithm is shown to yield a new type-logical lexicon that extends the learning sample to a possibly infinite (and possibly context-sensitive) language in a principled fashion. Finally, the complete learning strategy is analyzed from the perspective of algorithmic learning theory; the range of the procedure is shown to be a class of term-labelled tree languages which is finitely learnable from good examples (Lange et al in Algorithmic learning theory, Vol 872 of lecture notes in artificial intelligence, Springer, Berlin, pp 423–437), and so is identifiable in the limit as a corollary. (shrink)

The safety conception of knowledge holds that a belief constitutes knowledge iff relevantly similar beliefs—its epistemic counterparts—are true. It promises an instructive account of why certain general principles of knowledge hold. We focus on two such principles that anyone should endorse: the closure principle that knowledge is downward closed under competent conjunction elimination, and the counter-closure principle that knowledge is upward closed under competent conjunction introduction. We argue that anyone endorsing the former must also endorse the latter on pains of (...) an unacceptable form of bootstrapping. We devise new formal models to identify necessary and sufficient conditions for these principles to hold on conceptions that construe knowledge in terms of true counterparts. These conditions state that counterparts of premise and conclusion beliefs are coordinated in certain ways whenever these beliefs stand in the relevant inferential relations. We show that the safety conception faces insuperable problems vindicating these coordination principles, because its epistemic counterpart relation is symmetric. We conclude that it thus proves unable to account for minimal closure properties of knowledge. More generally, our formal results establish parameters within which any conception must operate that construes knowledge in terms of true counterparts. (shrink)

The safety conception of knowledge holds that a belief constitutes knowledge iff relevantly similar beliefs—its epistemic counterparts—are true. It promises an instructive account of why certain general principles of knowledge hold. We focus on two such principles that anyone should endorse: the closure principle that knowledge is downward closed under competent conjunction elimination, and the counter-closure principle that knowledge is upward closed under competent conjunction introduction. We argue that anyone endorsing the former must also endorse the latter on pains of (...) an unacceptable form of bootstrapping. We devise new formal models to identify necessary and sufficient conditions for these principles to hold on conceptions that construe knowledge in terms of true counterparts. These conditions state that counterparts of premise and conclusion beliefs are coordinated in certain ways whenever these beliefs stand in the relevant inferential relations. We show that the safety conception faces insuperable problems vindicating these coordination principles, because its epistemic counterpart relation is symmetric. We conclude that it thus proves unable to account for minimal closure properties of knowledge. More generally, our formal results establish parameters within which any conception must operate that construes knowledge in terms of true counterparts. (shrink)

Empathy remains poorly understood, under-theorized, and subject to conflicting and opportunistic uses. Its systematic role in human experience has not been analyzed and interpreted from top to bottom. In this book, the author attempts to provide such an analysis in the philosophical traditions of hermeneutics, phenomenology, analytic philosophy of language, and psychoanalysis. applying his interpretation of empathy to the philosophical issues of intentionality, the emotions, and the checkered transformations of empathy itself. In doing so the author aims to rescue empathy (...) from the margins of intelligibility and reveal its central role in our understanding of the emotions, the integrity of our relations with others, and human community (“intersubjectivity”). -/- The work draws on both the Anglo-American (“analytic”) tradition of ordinary language philosophy and the continental ones of phenomenology and hermeneutics. This work follows the movement of empathy from the periphery of ethics, aesthetics, and theory of mind to a key place in establishing and maintaining the integrity and emotional equilibrium of dynamic interrelations with other individuals. Beginning with the philosophical infrastructure of the hermeneutics of empathy, this work thoroughly explains the complex architecture of empathy, tracing it downward through the levels of authentic human interrelations, empathy with unexpressed emotions, the empathic penetrability of cognitively impenetrable affect, the first-ever intentional analysis of both the empathizer and the “empathasand” in interrelation, and the hermeneutic infrastructure. The consequences of empathy are exposed in the context of the emotions, cognitive impenetrability, empathy and altruism, and the intentionality of empathy as accessed through language and story telling. Drawing on the multi-method approach of hermeneutics, phenomenology, and story telling, this work demonstrates that empathy forms the foundation for community in ways not clearly appreciated in the on-going debate. In a bootstrap operation that is guided by Heidegger’s call for a “special hermeneutic of empathy,” this work achieves a delicate balancing act of unpacking the rich intellectual traditions from which empathy - the phenomenon itself, not the concept - emerged historically. The result is an exposure of the deep structure of empathy as a fundamentally human capability for creating possibilities of community and human relations. (shrink)

This paper is concerned with the estimation of the Weibull generalized exponential distribution parameters based on the adaptive Type-II progressive censored sample. Maximum likelihood estimation, maximum product spacing, and Bayesian estimation based on Markov chain Monte Carlo methods have been determined to find the best estimation method. The Monte Carlo simulation is used to compare the three methods of estimation based on the ATIIP-censored sample, and also, we made a bootstrap confidence interval estimation. We will analyze data related (...) to the distribution about single carbon fiber and electrical data as real data cases to show how the schemes work in practice. (shrink)

Background:Moral distress and workplace bullying are important issues in the nursing workplace that appear to affect nurse’s burnout.Aim:To investigate the relationship between moral distress and burnout in Iranian nurses, as mediated by their perceptions of workplace bullying.Ethical considerations:The research was approved by the committee of ethics in research of the Urmia University of Medical Sciences.Method:This is a correlation study using a cross-sectional design with anonymous questionnaires as study instruments (i.e. Moral Distress Scale-Revised, Maslach Burnout Inventory and The Negative Acts (...) Questionnaire-Revised). Data were collected from 278 nurses from five teaching hospitals in Urmia, the capital of Western Azerbaijan, northwest of Iran. Structural equation modeling and bootstrapping procedures were employed to recognize the mediating role of their perceptions of workplace bullying.Results:The mean score of moral distress, burnout, and the Negative Acts Questionnaire-Revised Scale among the participants were 91.02 ± 35.26, 79.9 ± 18.27, and 45.4 ± 15.39, respectively. The results confirmed our hypothesized model. All the latent variables of study were significantly correlated in the predicted directions. The moral distress and bullying were significant predictors of burnout. Perception of bullying partially mediated the relationship between moral distress and burnout. The mediating role of the bullying suggests that moral distress increases burnout, directly and indirectly.Conclusion:Nursing administrators should be conscious of the role of moral distress and bullying in the nursing workplace in increasing burnout. (shrink)

The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality. We reviewed 61 recently published undergraduate and graduate textbooks on introductory statistics and the linear model, focusing on their treatment of non-normality. This review identified at least eight distinct methods suggested to address non-normality, which we organize into a new taxonomy according to whether the approach: (...) (a) remains within the linear model, (b) changes the data, and (c) treats normality as informative or as a nuisance. Because textbook coverage of these methods was often cursory, and methodological papers introducing these approaches are usually inaccessible to non-statisticians, this review is designed to be the happy medium. For the purpose of promoting best practice in the application of the linear model, we provide a relatively non-technical review of advanced methods which can address non-normality. We also present three empirical examples to highlight distinctions between these methods' motivations and results. It is anticipated that our taxonomy will provide a useful overview and starting place for researchers interested in extending their knowledge in approaches developed to address non-normality from the perspective of the linear model. (shrink)

Graphical models are a powerful tool for causal model specification. Besides allowing for a hierarchical representation of variable interactions, they do not require any a priori specification of the functional dependence between variables. The construction of such graphs hence often relies on the mere testing of whether or not model variables are marginally or conditionally independent. The identification of causal relationships then solely requires some general assumptions on the relation between stochastic and causal independence, such as the Causal Markov Condition (...) and the Faithfulness Condition (Spirtes et al. 2000; Pearl 2000). However, a procedure would require further assumptions to hold. Namely those the independence tests themselves are based on. In continuous settings, Spirtes et al. (2000) suggest causal inference based on a very restrictive formulation of independence, that is, vanishing partial correlations. Such a measure does, however, limit the applicability of causal inference to linear systems. This constitutes a serious drawback especially for the social sciences where an a priori specification of the functional form proves difficult or at odds with linearity. In short: graphical models theoretically reduce specification uncertainty regarding functional dependence, but their implementation in practice deprives them of this virtue. In this paper we investigate how causal structures in continuous settings can be identified when both functional forms and probability distributions of the variables remain unspecified. We focus on tests exploiting the fact that if X and Y are conditionally independent given a set of variables Z, the two conditional densities f (X|Y, Z) and f (X|Z) must coincide. We start by estimating the conditional densities f(X|Y, Z) and f(X|Z) via nonparametric techniques (kernel methods). We proceed by testing if some metric expressing the distance between these very conditional densities is sufficiently close to zero. Out of several metrics available in the literature to express such distance we choose two, the Euclidean, and the Hellinger distance. We investigate in a Monte Carlo study how different tests involving either measure are able to detect statistical independence, conditioned on a small set of variables. One limitation may result from nonparametric density estimation being subject to the curse of dimensionality. As the number of variables increases, the estimated empirical density converges at a slower rate to its population value. To compensate this drawback we use a local bootstrap procedure which consists of resampling the data for each test. While local bootstrap strongly increases the computational time of the test, it succeeds in counterbalancing the curse of dimensionality. (shrink)

This paper examines the underdetermination between the Ptolemaic, Copernican, and the Tychonic theories of planetary motions and its attempted resolution by Kepler. I argue that past philosophical analyses of the problem of the planetary motions have not adequately grasped a method through which the underdetermination might have been resolved. This method involves a procedure of what I characterize as decomposition and identification. I show that this procedure is used by Kepler in the first half of the Astronomia Nova, (...) where he ultimately claims to have refuted the Ptolemaic theory, thus partially overcoming the underdetermination. Finally, I compare this method with other views of scientific inference such as bootstrapping. (shrink)

Background: Depressive disorder is one of the main health problems worldwide. Many risk factors have been associated with this pathology. However, while the association between risks factors and adult depression is well established, the mechanisms behind its impact remains poorly understood. A possible, yet untested explanation is the mediating impact of levels of personality functioning, i.e., impairments with regard to self and interpersonal.Method: Around 162 patients were assessed at the beginning of their therapy, with regard to risk factors, such (...) as sociodemographic, physical, hereditary, and adverse childhood experiences. Depressive symptoms and personality functioning were also measured. Associations between the related variables as well as other possible covariates were examined by means of zero-order correlations and bootstrapping-based mediation analysis.Results: Of all the risk factors taken into account, level of education and physical illness were associated with depression. On the other hand, the most significant predictor of depressive symptomatology was ACE, and this relationship was mediated by personality functioning. This indicates that patients presenting adverse childhood experiences are more likely to develop deficiencies in personality functioning, which in turn increases their likelihood of developing depressive symptomatology.Conclusion: These results reaffirm the importance of incorporating risk and vulnerability factors such as personality functioning in understanding depression. (shrink)

Understanding, as I construe it, is holistic. It is a matter of how commitments mesh to form a mutually supportive, independently supported system of thought. It is advanced by bootstrapping. We start with what we think we know and build from there. This makes education continuous with what goes on at the cutting edge of inquiry. Methods, standards, categories and stances are as important as facts. So something like E. D. Hirsch’s list of facts every fourth grader should know is (...) slightly silly. What makes for a good fourth grade education is not the set of facts the fourth grader knows, but the level of understanding she has achieved and the resources she can deploy to advance that understanding. Facts are part of the story, but so are fictions, methods, standards, and categories. A major part of understanding is recognizing what problems remain to be solved. (shrink)

Purpose This paper aims to analyze the relationships between human resource supply chain management (HRSCM), corporate culture (CC) and the code of business ethics (CBE) in the MENA region. Design/methodology/approach In this study, the author adopted a quantitative approach through an online Google Form survey for the data-gathering process. All questionnaires were distributed to the manufacturing and service firms that are listed in the Chambers of the Industries of Jordan, Saudi Arabia, Morocco and Egypt in the MENA region using a (...) simple random sampling method. About 567 usable and valid responses were retrieved out of 2,077 for analysis, representing a 27.3% response rate. The sample unit for analysis included all middle- and senior-level managers and employees within manufacturing and service firms. The conceptual model was tested using a hypothesis-testing deductive approach. The findings are based on covariance-based analysis and structural equation modeling (SEM) using PLS-SEM software. The author performed convergent validity and discriminant validity tests, and bootstrapping was also applied. Findings The empirical results display a significant and positive association between HRSCM and the CBE. The CC and the CBE tend to be positively and significantly related. Therefore, HRSCM can play a key role in boosting and applying the CBE in firms. For achieving the firm purposes, more attention to the HR personnel should be paid to implement the CBE. The high importance of the CBE becomes necessary for both the department and the firm. Practical implications Such results can provide insightful information for HR personnel, managers and leaders to encourage them to develop and maintain an effective corporate code of conduct within their organizations. Originality/value This paper tries to explore the linkages between HRSCM, CC and CBE in the Middle East region due to the lack of research available that analyzes the relationship between them. Not only that, but it also offers great implications for Middle Eastern businesses. (shrink)

This article discusses the role of a priori and a posteriori knowledge and methods in metaphysics and metametaphysics. Issues discussed include the viability of the distinction, the continuity of a priori and a posteriori methods, connections to modal epistemology, and the role of the distinction for science and naturalistic metaphysics.

The Indiana Philosophy Ontology (InPhO) project is presented as one of the first social-semantic web endeavors which aims to bootstrap feedback from users unskilled in ontology design into a precise representation of a specific domain. Our approach combines statistical text processing methods with expert feedback and logic programming approaches to create a dynamic semantic representation of the discipline of philosophy. We describe the basic principles and initial experimental results of our system.

In public health emergencies, people are more willing to save money rather than spending it, which is not conductive to economic development and recovery. Due to the absence of relevant research, the internal logic of this phenomenon is not clear. In the context of the COVID-19 pandemic, this study systematically explored whether and why public health emergencies stimulate consumers' preference for saving. We conducted two online surveys and used methods including stepwise regression analysis and bootstrapping to test the hypotheses. The (...) first survey, with 1,511 participants from China in February 2020, indicates that the severity of emergencies has a significant positive impact on the populations' willingness to save. Risk perception plays a mediating role between the severity of emergencies and consumers' saving willingness. Materialism plays a moderating role between risk perception and an individual's saving willingness, individuals who are more materialistic have a lower saving willingness when they perceive the risks of the pandemic. To verify the duration of the above effects, we conducted a follow-up survey consisted of 466 instances in August 2020. It is noteworthy that the above effects are not significant during the post-pandemic period. Thus, spending behavior in public health emergencies can be motived by reducing risk perception and increasing materialism. These findings can provide a valuable inspiration for public health, crisis management, and economic recovery during public health emergencies. (shrink)