This study investigates and compares the impact of spiritual leadership on organizational citizenship behavior in finance and retail service industries to determine the possibility of generalizing and applying spiritual leadership to other industries. This study used multi-sample analysis of structural equation modeling. The results show that values, attitudes, and behaviors of leaders have positive effects on meaning/calling and membership of the employees, and further facilitate employees to perform excellent organizational citizenship behaviors, including the altruism of assisting colleagues (...) and the responsible conscientiousness toward organization. The effect of altruism toward colleagues is especially stronger. Finally, the effect of leaders’ values, attitudes, and behaviors on the spiritual survival of employees is stronger in retail than that in finance. (shrink)

If we cannot define science using only analysis or description, then we must rely on imagination to provide us with suitable objects of philosophical inquiry. This process ties our intellectual findings to the particular ways in which we philosophers think about scientific practice and carve out a cognitive space between real world practice and conceptual abstraction. As an example, I consider Heather Douglas’s work on the responsibilities of scientists and document her implicit ideal of science, defined primarily as an (...) epistemic practice. I then contrast her idealization of science with an alternative: “technoscience,” a heuristic concept used to describe nanotechnology, synthetic biology, and similar “Mode 2” forms of research. This comparison reveals that one’s preferred imaginary of science, even when inspired by real practices, has significant implications for the distribution of responsibility. Douglas’s account attributes moral obligations to scientists, while the imaginaries associated with “technoscience” and “Mode 2 science” spread responsibility across the network of practice. This dynamic between mind and social order, I argue, demands an ethics of imagination in which philosophers of science hold themselves accountable for their imaginaries. Extending analogous challenges from feminist philosophy and Mills’s. “Ideal Theory’ as Ideology,” I conclude that we ought to reflect on the idiosyncrasy of the philosophical imagination and consider how our idealizations of science, if widely held, would affect our communities and broader society. (shrink)

Ranging from miniaturized biological robots to organoids, multi-cellular engineered living systems (M-CELS) pose complex ethical and societal challenges. Some of these challenges, such as how to best distribute risks and benefits, are likely to arise in the development of any new technology. Other challenges arise specifically because of the particular characteristics of M-CELS. For example, as an engineered living system becomes increasingly complex, it may provoke societal debate about its moral considerability, perhaps necessitating protection from harm or recognition of (...) positive moral and legal rights, particularly if derived from cells of human origin. The use of emergence-based principles in M-CELS development may also create unique challenges, making the technology difficult to fully control or predict in the laboratory as well as in applied medical or environmental settings. In response to these challenges, we argue that the M-CELS community has an obligation to systematically address the ethical and societal aspects of research and to seek input from and accountability to a broad range of stakeholders and publics. As a newly developing field, M-CELS has a significant opportunity to integrate ethically responsible norms and standards into its research and development practices from the start. With the aim of seizing this opportunity, we identify two general kinds of salient ethical issues arising from M-CELS research, and then present a set of commitments to and strategies for addressing these issues. If adopted, these commitments and strategies would help define M-CELS as not only an innovative field, but also as a model for responsible research and engineering. (shrink)

In Exploitation: What It Is and Why It's Wrong (2003), I argued that the major non‐Marxist “ethically thick” approaches to exploitation were not successful in capturing what we find morally objectionable in paradigmatic cases of exploitation. My argument there focused on the consequentialist account of exploitation defended by Robert Goodin. Here I revisit the question of whether the recent multi‐level act consequentialist account of exploitation defended by Richard Arneson is successful. I raise questions about the nature of the account, (...) and conclude that it is a possibly coherent and ultimately inadequate account of the wrongness of exploitation. (shrink)

The misleading and propagandistic tendencies in American news reporting have been a part of public discussion from its earliest days as a republic (Innis, 2007;Sheppard, 2007). “Fake news” is hardly new (McKernon, 1925), and the term has been applied to a variety of distinct phenomenon ranging from satire to news, which one may find disagreeable (Jankowski, 2018;Tandoc et al., 2018). However, this problem has become increasingly acute in recent years with the Macquarie Dictionary declaring “fake news” the word of the (...) year in 2016 (Lavoipierre, 2017). The international recognition of fake news as a problem (Pomerantsev and Weiss, 2014;Applebaum and Lucas, 2016) has led to a number of initiatives to mitigate perceived causes, with varying levels of success (Flanagin and Metzger, 2014;Horne and Adali, 2017;Sample et al., 2018). The inability to create a holistic solution continues to stymie researchers and vested parties. A significant contributor to the problem is the interdisciplinary nature of digital deception. While technology enables the rapid and wide dissemination of digitally deceptive data, the design and consumption of data rely on a mixture of psychology, sociology, political science, economics, linguistics, marketing, and fine arts. The authors for this effort discuss deception’s history, both old and new, from an interdisciplinary viewpoint and then proceed to discuss how various disciplines contribute to aiding in the detection and countering of fake news narratives. A discussion of various fake news types (printed, staged events, altered photographs, and deep fakes) ensues with the various technologies being used to identify these; the shortcomings of those technologies and finally the insights offered by the other disciplines can be incorporated to improve outcomes. A three-point evaluation model that focuses on contextual data evaluation, pattern spread, and archival analysis of both the author and publication archives is introduced. While the model put forth cannot determine fact from fiction, the ability to measure distance from fact across various domains provides a starting point for evaluating the veracity of a new story. (shrink)

Headlines in 2019 are inundated with claims about the “digital society,” making sweeping assertions of societal benefits and dangers caused by a range of technologies. This situation would seem an ideal motivation for ethics research, and indeed much research on this topic is published, with more every day. However, ethics researchers may feel a sense of déjà vu, as they recall decades of other heavily promoted technological platforms, from genomics and nanotechnology to machine learning. How should ethics researchers respond to (...) the waves of rhetoric and accompanying academic and policy-oriented research? What makes the digital society significant for ethics research? In this paper, we consider two examples of digital technologies (artificial intelligence and neural technologies), showing the pattern of societal and academic resources dedicated to them. This pattern, we argue, reveals the jointly sociological and ethical character of significance attributed to emerging technologies. By attending to insights from pragmatism and science and technology studies, ethics researchers can better understand how these features of significance affect their work and adjust their methods accordingly. In short, we argue that the significance driving ethics research should be grounded in public engagement, critical analysis of technology’s “vanguard visions,” and in a personal attitude of reflexivity. (shrink)

If we cannot define science using only analysis or description, then we must rely on imagination to provide us with suitable objects of philosophical inquiry. This process links our findings to the particular ways in which we philosophers idealize scientific practice and carve out an experimental space between real world practice and thought experiments. As an example, I examine Heather Douglas’ recent work on the responsibilities of scientists and contrast her account of science with that of “technoscience,” as mobilized (...) in nanotechnology, synthetic biology, and similar control-oriented fields. The difference between the two idealizations of science reveals that one’s preferred imaginary of science, even when inspired by real practices, has real implications for the distribution of responsibility. Douglas’ account attributes moral obligations to scientists, while a framework of “technoscience” spreads responsibility across the network of practice. I use this case to call for an ethics of imagination, in which philosophers of science hold themselves accountable for their imaginaries. We ought reflect on the idiosyncrasy of the philosophical imagination and consider how our idealizations, if widely held, would affect our fellow citizens. (shrink)

Recent advancements in neuroengineering research have prompted neuroethicists to propose a variety of “ethical guidance” frameworks (e.g., principles, guidelines, framing questions, responsible research innovation frameworks, and ethical priorities) to inform this work. In this chapter, we offer a comparative analysis of five recently proposed ethical guidance frameworks (NIH neuroethics guiding principles, Nuffield Council on Bioethics, Global Neuroethics Summit Delegates, the Center for Neurotechnology’s neuroethical principles and guidelines, and the Neurotechnology Ethics Taskforce’s ethical priorities). We identify some common themes among (...) these frameworks, making explicit significant areas of convergence. We also highlight three areas of ethical consideration that have not received sufficient attention across these frameworks (extended care for research participants, cultural salience, and stakeholder input). Further attention and analysis of these three areas would improve the breadth and scope of ethical considerations for neuroengineering research. (shrink)

Neural engineering technologies such as implanted deep brain stimulators and brain-computer interfaces represent exciting and potentially transformative tools for improving human health and well-being. Yet their current use and future prospects raise a variety of ethical and philosophical concerns. Devices that alter brain function invite us to think deeply about a range of ethical concerns—identity, normality, authority, responsibility, privacy, and justice. If a device is stimulating my brain while I decide upon an action, am I still the author of the (...) action? Does a device make the interiority of my experience accessible to others? Will the device change the way I think of myself and others think of me? Such fundamental questions arise even when a device is designed for only a relatively circumscribed purpose, such as restoring functioning via a smart prosthetic. We are part of a National Science Foundation-funded Engineering Research Center tasked with investigating philosophical and social implications of neural engineering research and technologies. Neural devices already in clinical use, such as deep brain stimulators for Parkinson's disease or essential tremor, have spurred healthy debate about such implications. Devices currently under development—such as the BrainGate System of implanted brain sensors coupled to robotics in persons with paralysis, exoskeletons for augmented movement, transcranial do-it-yourself stimulators, closed-loop brain stimulating systems, or even brain-to-brain interfacing—promise to extend and deepen these debates. At our center, brain-computer interfaces are the principal focus of work. Even acknowledging that the clinical translation of neural devices and seamless integration by end users may still largely reside in the future, the potential these devices hold calls for careful early analysis. The launching of the Brain Research through Advancing Innovative Neurotechnologies Initiative in April 2013 provides further impetus for this work. (shrink)

In this paper, we analyze a sample of 46 ethnic boundaries drawn from the literature. The principal aim is to test whether there is a universal syndrome of ethnocentrism, the idea that ethnic relations can be characterized along a single dimension of differences, or, whether there are instead multiple types of ethnic relations. The latter hypothesis is based on a cultural evolutionary perspective that suggests that there may be competing forces leading to the evolution of ethnic markers, and hence (...) to the possibility that ethnicity is a multi-dimensional phenomenon. These competing forces may yield a variety of types of ethnic boundaries, not all of which may be conflictual. Thus, we also examine what factors do most closely correlate with violent conflict. (shrink)

The COVID-19 pandemic cropping up at the end of 2019 started to pose a threat to millions of people’s health and life after a few weeks. Nevertheless, the COVID-19 pandemic gave rise to social and economic problems that have changed the progress steps of individuals and the whole nation. In this study, the work conditions for employees from Taiwan, Malaysia, and the Chinese mainland are explored and compared, and the relationship between support mechanisms and innovation behaviors is evaluated with a (...) view of the social cognitive career theory. This study adopts the cross-sectional survey and purposive sampling to collect questionnaires. A total of 623 copies of a questionnaire from Taiwanese, 440 copies from Malaysians, and 513 copies from mainlanders were collected in this study to compare the three groups in developing employees’ IBs. Smart-partial least squares for partial least squares structural equation modeling was applied in the structural model to conduct a verification of the hypotheses and comparative analysis in this study. According to the findings, compared with employees from the Chinese mainland, the Taiwanese and Malaysian samples show more significant paths regarding employee employability, IB, prior knowledge, perceived organizational support, self-efficacy, and job performance. Our results will offer more insights and advice concerning theories of human resource. (shrink)

Brain–Computer Interface research is an interdisciplinary area of study within Neural Engineering. Recent interest in end-user perspectives has led to an intersection with user-centered design. The goal of user-centered design is to reduce the translational gap between researchers and potential end users. However, while qualitative studies have been conducted with end users of BCI technology, little is known about individual BCI researchers’ experience with and attitudes towards UCD. Given the scientific, financial, and ethical imperatives of UCD, we sought to gain (...) a better understanding of practical and principled considerations for researchers who engage with end users. We conducted a qualitative interview case study with neural engineering researchers at a center dedicated to the creation of BCIs. Our analysis generated five themes common across interviews. The thematic analysis shows that participants identify multiple beneficiaries of their work, including other researchers, clinicians working with devices, device end users, and families and caregivers of device users. Participants value experience with device end users, and personal experience is the most meaningful type of interaction. They welcome end-user input, but are skeptical of limited focus groups and case studies. They also recognize a tension between creating sophisticated devices and developing technology that will meet user needs. Finally, interviewees espouse functional, assistive goals for their technology, but describe uncertainty in what degree of function is “good enough” for individual end users. Based on these results, we offer preliminary recommendations for conducting future UCD studies in BCI and neural engineering. (shrink)

Background Encounters of moral distress have long-term consequences on healthcare workers’ physical and mental health, leading to job dissatisfaction, reduced patient care, and high levels of burnout, exhaustion, and intentions to quit. Yet, research on approaches to ameliorate moral distress across the health workforce is limited. Research Objective The aim of our study was to qualitatively explore multi-professional perspectives of healthcare social workers, chaplains, and patient liaisons on ways to reduce moral distress and heighten well-being at a southern U.S. (...) academic medical center. Participants & Research Context Purposive sampling and chain-referral methods assisted with recruitment through hospital listservs, staff meetings, and newsletters. Interested participants contacted the principal investigator and all interviews were conducted in-person. Consent was attained prior to interviews. All interviews were recorded and transcribed verbatim. Research Design Directed content analysis was used to deductively organize codes and to develop themes in conjunction with the National Academy of Medicine’s National Plan for Health Workforce Well-Being. Rigor was attained through peer-debriefing, data triangulation methods, and frequent research team meetings. Ethical Considerations Ethics approval was obtained from the university and medical center institutional review boards. Findings Themes demonstrate that rather than offering interventions in the aftermath of moral distress, multilevel daily practices ought to be considered that pre-emptively identify and reduce morally distressing encounters through (1) the care team, (2) management and leadership, and (3) the health care industry. Strategies include interdisciplinary decision-making, trusting managerial relationships, and organizational policies and practices that explicitly invest in mental health promotion and diverse leadership opportunities. Conclusion Moral distress interventions ought to target short-term stress reactions while also addressing the long-term impacts of moral residue. Health systems must financially commit to an ethical workplace culture that explicitly values mental health and well-being. (shrink)

With the deepening of globalization, brand plays an important role in determining the competitiveness of enterprises. It is worth thinking about how to quantify the brand value reasonably to achieve the purpose of improving the competitiveness of enterprises. The research of commercial brands based on emotion analysis extracts the views of consumers on the evaluation data of brand attributes, analyzes the emotional tendency of consumers' views, and then helps enterprises adjust their production strategies. The purpose of emotion analysis (...) is to judge users' views and attitudes toward goods or services by analyzing texts. In this paper, the linear support vector machine model is used to extract and study the features in sentiment analysis. Then, the brand based on the fusion model is evaluated, and the experimental conclusions are drawn: the method of fusing the depth features extracted by word vector and the named entity extracted by CRF makes the brand effect of fusing emotional factors better than the feature extraction method only using CRF named entity recognition. It is proved that the model method proposed in this paper has a certain role in actual business. Feature fusion often combines shallow model methods and fuses various shallow feature screening technologies based on word segmentation results. This paper introduces fusion features and supplements feature vectors based on the results of the deep learning word vector model. Support Vector Machine maps feature vectors to some sample points in the space, finds a plane that can realize sample classification, and maximizes the distance between the two sample points closest to the plane in two types of samples, to maximize the classification performance and improve the generalization of the model. (shrink)

Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect situational specificity. That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they observe youth. Despite the frequent need to understand and interpret these informant discrepancies, no consensus guidelines exist for integrating informants’ reports. The path to building these guidelines starts with identifying factors that reliably (...) predict the level and form of these informant discrepancies, and do so for theoretically and empirically relevant reasons. Yet, despite the knowledge of situational specificity, few approaches to integrating multi-informant data are well-equipped to account for these factors in measurement, and those that claim to be well-positioned to do so have undergone little empirical scrutiny. One promising approach was developed roughly 20 years ago by Kraemer and colleagues. Their Satellite Model leverages principal components analysis and strategic selection of informants to instantiate situational specificity in measurement, namely components reflecting variance attributable to the context in which informants observe behavior, the perspective from which they observe behavior, and behavior that manifests across contexts and perspectives. The current study represents the first construct validation test of the Satellite Model. A mixed-clinical/community sample of 134 adolescents and their parents completed six parallel surveys of adolescent mental health. Adolescents also participated in a series of simulated social interactions with research personnel trained to act as same-age, unfamiliar peers. A third informant viewed these interactions and completed the same surveys as parents and adolescents. We applied the Satellite Model to each set of surveys and observed high internal consistency estimates for each of the six-item trait, context, and perspective components. Scores reflecting the trait, context, and perspective components displayed distinct patterns of relations to a battery of criterion variables that varied in the context, perspective, and source of measurement. The Satellite Model instantiates situational specificity in measurement and facilitates unifying conceptual and measurement models of youth mental health. (shrink)

To measure non-cognitive facets of competence, we developed and tested a new method that we refer to as Embedded Experience Sampling (EES). Domain-specific problem-solving competence is a multi-faceted construct that is not limited to cognitive facets such as domain knowledge or problem-solving strategies but also comprises non-cognitive facets in the sense of domain-specific emotional and motivational dispositions such as interest and self-concept. However, in empirical studies non-cognitive facets are usually either neglected or measured by generalized self-report questionnaires that are (...) detached from the performance assessment. To enable an integrated measurement, we developed the EES method to collect data on non-cognitive facets during scenario-based low-stakes assessments. Test-takers are requested to stop at certain times and spontaneously answer short items (EES items) regarding their actual experience of the problem situation. These EES items are embedded in an EES event that resembles typical social interactions with non-player characters. To evaluate the feasibility and validity of the method, we implemented EES in a series of three studies in the context of commercial vocational education and training (VET): A feasibility study with 77 trainees, a pilot study with 20 trainees, and the main study with 780 trainees who worked on three complex problem scenarios in a computer-based office simulation. In the present paper, we investigate how test-takers perceived the EES events, and whether social desirability biased their answers, and investigate the internal structure of the data and the relationship between EES data and data from several other sources. Interview data and survey data indicated no biases due to social desirability and no additional burden for the test-takers due to the EES events. A correlation analysis following the multitrait-multimethod approach as well as the calibration of a multidimensional model based on Item Response Theory (IRT) also supported the construct validity. Furthermore, EES data shows substantial correlations with test motivation but almost zero correlations with data from generalized retrospective self-report questionnaires on non-cognitive facets. Altogether, EES offers an alternative approach to measuring non-cognitive facets of competence under certain conditions. For instance, EES is also based on self-reporting and thus might not be suitable for high-stakes testing. (shrink)

This paper is intended to be a consideration of the role of multi-level modelling in educational research. It is not a guide on how to design or perform such an analysis. There are several references in the text to sources that teach the practicalities perfectly well, and the technique is anyway similar to other forms of regression and to analysis of variance. Rather, the paper describes what multi-level modelling is, why it is used, and what its (...) limitations are. It does so in the hope that some readers will be enthused sufficiently to become appropriately critical 'consumers' of research using this approach, so building research capacity, and easing pressures on 'specialist' reviewers. Anyone who can read or perform standard multivariate analyses can understand, referee, or conduct a multi-level model. Additionally, the paper makes three key points. The generally small sample size in each cluster at the lowest level of any multi-level model means that there is a danger of a greater bias in the results than in standard analyses that pool the data from all clusters. Even where there are genuine gains through the use of multi-level models these have to be set against a loss in simple intuitive grasp of the results, especially amongst policy-makers and practitioners. Therefore, long term, we are probably better advised to improve our research designs and the quality of the data we collect than to focus on more and more complex forms of analysis to overcome deficiencies in the datasets we already have. (shrink)

School principals world-wide report high levels of strain and attrition resulting in a shortage of qualified principals. It is thus, crucial to identify psychosocial risk factors that reflect principals’ occupational wellbeing. For this purpose, we used the Copenhagen Psychosocial Questionnaire (COPSOQ-II), a widely used self-report measure covering multiple psychosocial factors identified by leading occupational stress theories. We evaluated the COPSOQ-II regarding factor structure and longitudinal, discriminant, and convergent validity using latent structural equation modeling in a large sample of Australian (...) school principals (N = 2,049). Results reveal that confirmatory factor analysis produced marginally acceptable model fit. A novel approach we call set exploratory structural equation modeling (ESEM-set), where cross-loadings were only allowed within a priori defined sets of factors, fit well, and was more parsimonious than a full ESEM. Further multitrait-multimethod models based on the set-ESEM confirm the importance of a principal’s psychosocial risk factors; Stressors and depression were related to demands and ill-being, while confidence and autonomy were related to wellbeing. We also show that working in the private sector was beneficial for showing a low psychosocial risk, while other demographics have little effects. Finally, we identify five latent risk profiles (high risk to no risk) of school principals based on all psychosocial factors. Overall the research presented here closes the theory application gap of a strong multi-dimensional measure of psychosocial risk-factors. (shrink)

OBJECTIVES: This reliability generalization study aimed to estimate the mean and variance of the interrater reliability coefficients (ryy) of supervisory ratings of overall, task, contextual, and positive job performance. The moderating effect of the appraisal purpose and the scale type was examined. It was hypothesized that the ratings collected for research purposes and multi-item scales have higher ryy. It was also examined whether ryy was similar for the four performance dimensions. METHOD: A database consisting of 224 independent samples was (...) created and hierarchical sub-grouping meta-analyses were conducted. RESULTS: The appraisal purpose was a moderator of ryy for the four performance dimensions. Scale type was a moderator of ryy for overall and task performance collected for research purposes. The findings also suggest that supervisors seem to have less difficulty evaluating overall job performance than task, contextual, and positive performance. The best estimates of the observed ryy for overall job performance are.61 for research-collected ratings and.45 for administrative-collected ratings. MAIN CONCLUSIONS: (1) Appraisal purpose moderates ryy and researchers and practitioners should be aware of its effects before collecting ratings or using empirically-derived interrater reliability distributions, (2) Scale type seems to moderate ryy in the case of the ratings collected for research purposes, only, (3) overall job performance is more reliably rated than task, contextual, and positive performance. Implications for research and practice are discussed. (shrink)

The object of the study is the continuous preservation of the multi-genre Cossack folk song, which represents a key purpose in the implementation of the preservation of the traditional mentality at the present stage. The subject of this work is the immanent complexes of traditional song culture in the folklore heritage. The purpose of this study is to structure the issue of the cultural interrelation of the ethnic canvas of the Kuban Cossack folk songs, in the originality of the (...) genesis of the vocal and performing specifics of modern creativity. When discovering the fundamental foundations of the vocal performance of the Cossack song, special attention is paid to the study of the folklore primary sources of the Kuban folklorists, V.G.Zakharchenko, A.D.Bigdai, G.M.Kontsevich. Along with this, an expert assessment of the characteristics of the Kuban Cossack folk song according to the genre classification component is an important feature of the performance of vocal samples today. The theoretical basis is in an analytical approach to the peculiarities of the performance of a local source from the point of view of substantiating the scientific nature of the subject under consideration according to the functionally oriented elements of the report: traditions, traditional manner of performance, interpretation of the text, song melody. Methodological basis: components of the study of the local singing tradition, modernization of folklore song documents, the method of consistency-the genre diversity of Cossack performance. The author's approach to the correlation of musical sources as methodological characteristics of the Kuban Cossack singing traditions has been developed. We test the proposed system when working with archival documents, in the diagnosis of song samples recorded from informants. The key aspect is the musicological analysis of the musical collections of Kuban Cossack folk songs from the point of view of the continuously developing, multifaceted changing performing skills of the soloist and choir. The author takes into account the introduced model of performing Cossack songs since the resettlement of the Black Sea Cossacks, who brought the baggage of multi-genre sources and eventually introduced the Kuban folk singing art. The scientific novelty of the research lies in the author's analytical systematization of authentic song compositions recorded by folklorists, in the analysis of multi-genre Kuban Cossack sources (selectively) for further active performance on stage. The specific directions of performance according to characteristic song genres are determined: historical, military, everyday, marching, lyrical, wedding, ceremonial, round dance, comic. The reproduced orientation of the nature of the continuous preservation of folklore sources in the revised performance interpretation of Cossack vocal works gives rise to significant broadcasting opportunities today. (shrink)

Roommate relationships are fundamental to the social environment of many emerging adults. However, no validated, widely used, measure of roommate relationship quality exists for examining the impact of these relationships on individual functioning and health. In this report, we present preliminary evidence of the factor structure, concurrent validity, and construct validity of the Roommate Relationship Scale as a measure of roommate relationship quality using a sample of U.S. college students who participated in a multi-wave study. An exploratory factor (...) analysis at the first wave, and confirmatory factor analyses with independent samples of new participants at each of two subsequent waves showed stable factor loadings and adequate fit. Moreover, the scale demonstrated good fit and reliability in a longitudinal multilevel CFA framework. The RRS significantly positively correlated with relationship length, self-esteem, extraversion, agreeableness, and conscientiousness, and negatively correlated with symptoms of anxiety and avoidant attachment style, indicating concurrent validity of the scale with respect to these constructs. Consistent with findings from other relationship types, self-reported RRS scores decrease longitudinally, both across and between semesters of academic life, indicating construct validity of the scale. We conclude that the RRS is useful for evaluating roommate relationship quality among U.S. college students, and hopefully beyond. Further research should validate the scale’s utility in other, more diverse, populations and refine its underlying generating psychological process. (shrink)

This study focuses on user experience from the perspective of big data to complete the aggregation, clustering, and visual presentation of knowledge. Using a combination of sample literature review, visualization technologies, knowledge map analysis, Carrot2 clustering, and other methodologies, this study intends to examine user experience from three perspectives: research state, hotspots, and trends. First, based on the double-map overlay, core institutions, core countries, core authors, core journals, and core references distribution research, the knowledge flow, research power, and (...) research subjects of user experience are analyzed. Secondly, through keyword clustering analysis, this research intuitively presents the research topics of user experience and reveals the research hotspots and the evolution path of research methods. Finally, with the help of the subject clustering algorithm, the emerging trends of user experience research are predicted: the immersive experience upgrade of multi-scenario integration, the innovative design of multi-role collaboration, and the cross-disciplinary interactive exploration of multi-discipline. Following this, the user experience knowledge map is constructed, providing a global view and macro-cognition for subsequent research. (shrink)

The concept of intersectionality is on its way to becoming a new paradigm in gender studies. In its current version, it denominates reciprocities between gender, race and class. However, it also allows for the integration of other socially defined categories, such as sexuality, nationality or age. On the other hand, it is widely left unclear as to which level these reciprocal effects apply: the level of social structures, the level of constructions of identity or the level of symbolic representations. This (...) article advocates an intersectional multi-level analysis which takes into account reciprocal effects between the various levels. This approach includes an analytical grasp of and methodical reflection on these reciprocal effects as well as making them empirically accessible. (shrink)

Brain processes and social processes are not as separated as many of our Social Psychology and Neuroscience departments. This paper discusses the potential contribution of social neuroscience to the development of a multi-level, dynamic, and context-sensitive approach to prejudice. Specifically, the authors review research on event related potentials during social bias, stereotypes, and social attitudes measurements, showing that electrophysiological methods are powerful tools for analyzing the temporal fine-dynamics of psychological processes involved in implicit and explicit prejudice. Meta-theoretical implications are (...) drawn regarding the social psychological modeling of social attitudes, and for the integration of social neuroscience into a multi-level account of cultural behavior. (shrink)

Overall assessments and balancing of interests -- Multi-criteria analysis -- Intuition -- Legal examples of decision-making with SAW -- Decision-making under uncertainty -- Evidentiary aspects.

Recent research on corporate social responsibility (CSR) is suggesting the need for filling the knowledge gap in the relationship between small and mediumsized enterprises (SMEs) and CSR. SMEs rarely use the language of CSR to describe what they are doing, but informal CSR strategies deeply characterize their businesses. The goal of this paper is to investigate whether a distinction exists between formal and informal CSR strategies, whereas formal CSR strategies should be a prerogative by large firms and informal CSR strategies (...) should be a condition of micro, small, and medium-sized enterprises. A sample of 3,626 Italian firms is used to investigate the research questions. Based on a multi-stakeholder framework, the analysis provides evidence that small businesses reveal their aptitude towards CSR through strategies with an important impact on the bottom line as an attempt to strengthen their license to operate in the communities; large firms are far away from integrating their CSR strategies with explicit management systems. (shrink)

The competition in higher education has increased, while lecturers are involved in multiple assignments that include teaching, research and publication, consultancy, and community services. The demanding nature of academia leads to excessive work load and stress among academicians in higher education. Notably, offering the right motivational mix could lead to job satisfaction and performance. The current study aims to demonstrate the effects of extrinsic and intrinsic motivational factors influencing job satisfaction and job performance among academicians working in Malaysian private higher (...) educational institutions. Cross-sectional data were collected from the Malaysian PHEIs and the randomly selected 343 samples. The data analysis was performed with the dual analysis of partial least square structural equation modeling and artificial neural network analysis. As a result, it was found that financial rewards, promotion, performance appraisal, classroom environment, and code of conduct significantly predicted job satisfaction. The code of conduct, autonomy, and self-efficacy strongly influenced job performance. The relationship between job satisfaction and job performance was highly moderated by self-efficacy. It was suggested from the ANN analysis that the three prominent factors influencing job satisfaction are financial rewards, performance appraisal, and code of conduct. The analysis supported three significant factors influencing job performance: self-efficacy, performance appraisal, and code of conduct. The management of PHEIs should build the correct policies to transform job satisfaction into job performance. Self-efficacy plays an essential role in activating job performance. Other significant motivating factors that promote job satisfaction and performance, such as emotional intelligence, mindfulness, and other personal traits, should be included in future studies. In addition, future research could use a mixed-method or multi-respondent approach to investigate the important variables and their impact on lecturers’ job satisfaction and performance. (shrink)

The enrolment of children and adolescents in health research requires that attention to be paid to specific assent and consent requirements such as the age range for seeking assent; conditions for parental consent (and waivers); the age group required to provide written assent; content of assent forms; if separate assent and parental consent forms should be used, consent from emancipated young adults; reconsent at the age of adulthood when a waiver of assent requirements may be appropriate and the conditions for (...) waiving assent requirements. There is however very little available information for researchers and ethics committees on how to navigate these different issues. To provide guidance to research initiatives, the SickleInAfrica consortium conducted a thematic analysis of a sample of research ethics guidelines and procedures in African countries, to identify guidance for assent requirements in health research. The thematic analysis revealed that 12 of 24 African countries specified the age group for which assent is required. The minimum age for written assent varied across the countries. Five countries, Algeria, Botswana, Cameroon, Nigeria and The Democratic Republic of Congo require consent from both parents/family council in certain circumstances. Botswana, Nigeria, South Africa and Uganda have specific assent/consent requirements for research with emancipated minors. South Africa and Algeria requires re-consent at onset of adulthood. Five countries (Botswana, Cameroon, Nigeria, South Africa and Tanzania) specified conditions for waiving assent requirements. The CIOMS and the ICH-GCP guidelines had the most comprehensive information on assent requirements compared to other international guidelines. An interactive map with assent requirements for different African countries is provided. The results show a major gap in national regulations for the inclusion of minors in health research. The SickleInAfrica experience in setting up a multi-country SCD registry in Africa highlights the need for developing and harmonising national and international guidelines on assent and consent requirements for research involving minors. Harmonisation of assent requirements will help facilitate collaborative research across countries. (shrink)

Background: There is a growing need to offer appropriate services to persons with mild cognitive impairment and dementia who are faced with depression and anxiety distresses beyond traditional pharmacological treatment. Dance-based interventions as multi-dimensional interventions address persons' physical, emotional, social, and spiritual aspects of well-being. However, no meta-analysis of randomized controlled treatment trials has examined the effectiveness of dance-based interventions on depression and anxiety among persons with MCI and dementia, and the results of RCTs are inconsistent. The study (...) aimed to examine the effectiveness of dance-based interventions on depression and anxiety among persons with MCI and dementia.Methods: A systematic review with meta-analysis was conducted. The inclusion criteria were: population: people of all ages with MCI and dementia; intervention: dance-based interventions; control group: no treatment, usual care, or waiting list group; outcome: depression and anxiety; study design: published or unpublished RCTs. Seven electronic databases were searched from 1970 to March 2021. Grey literature and reference lists from relevant articles were also searched and reviewed. The Cochrane “Risk of Bias” tool was used to assess study quality. RevMan 5.4 was used for meta-analysis and heterogeneity was investigated by subgroup and sensitivity analysis. GRADE was applied to assess the evidence quality of depression and anxiety outcomes.Results: Five randomized controlled trials were identified. Sample sizes ranged from 21 to 204. The risk of bias was low, except for being rated as high or unclear for most included studies in two domains: allocation concealment, blinding participants and personnel. Meta-analysis of depression outcome showed no heterogeneity, indicating that the variation in study outcomes did not influence the interpretation of results. There were significant differences in decreasing depression in favor of dance-based interventions compared with controls [SMD = −0.42, 95% CI, p < 0.0001] with a small effect size ; Compared with the post-intervention data, the follow-up data indicated diminishing effects. Dance-based interventions were more effective in reducing depression for persons with dementia than with those having MCI, and were more effective with the delivery frequency of 1 h twice a week than 35 min 2–3 times a week. Also, one included RCT study showed no significant benefit on anxiety rating scores, which demonstrated small effect sizes at 6 weeks and 12 weeks. GRADE analysis indicated the evidence quality of depression was moderate, and the evidence quality of anxiety was low.Conclusions: Dance-based interventions are beneficial to alleviate depression among persons with MCI and dementia. More trials of high quality, large sample sizes are needed to gain more profound insight into dance-based interventions, such as their effects of alleviating anxiety, and the best approaches to perform dance-based interventions. (shrink)

In school education, teaching-learning interaction is deemed as a core process in the classroom. The fundamental neural basis underlying teaching-learning interaction is proposed to be essential for tuning learning outcomes. However, the neural basis of this process as well as the relationship between the neural dynamics and the learning outcomes are largely unclear. With non-invasive technologies such as fNIRS, hyperscanning techniques have been developed since the last decade and been applied to the field of educational neuroscience for simultaneous multi-brain (...) scanning. Hyperscanning studies suggest that the interpersonal neural synchronization during teaching-learning interaction might be an ideal neural biomarker for predicting learning outcomes. To systematically evaluate such a relationship, this meta-analysis ran on a random-effects model on 16 studies with 23 independent samples. Further moderator analyses were also performed to examine the potential influences of the style, mode, content, and the assessment method of learning outcomes. The random-effects modeling results confirmed a robust positive correlation between INS and learning outcomes. Subsequent analyses revealed that such relationship was mainly affected by both interaction style and mode. Therefore, the present meta-analysis provided a confirmatory neurocognitive foundation for teaching-learning interaction, as well as its relation to the learning outcomes, consolidated future learning and teaching studies in various disciplines including second language education with a firm methodological reference. (shrink)

Transcranial magnetic stimulation, as a relatively new type of treatment, is a safe and non-invasive method for pain therapy. Here, we used CiteSpace software to visually analyze 440 studies concerning transcranial magnetic stimulation in pain research from 2010 to 2021, indexed by Web of Science, to clarify the research hotspots in different periods and characterize the process of discovery in this field. The United States ranked first in this field. Lefaucheur JP, Fregni F, and Andrade ACD made great contributions to (...) this field of study. The most prolific institution was University of São Paulo. The four main hot keywords were neuropathic pain, motor cortex, connectivity, and non-invasive brain stimulation. There were three main points that were generally accepted: definite analgesic effect of high-frequency rTMS of M1 contralateral to pain side in neuropathic pain; there are inconclusive recommendations regarding rTMS of the dorsolateral prefrontal cortex in fibromyalgia and neuropathic pain; there is low-quality evidence that single doses of high-frequency rTMS of the motor cortex may have short-term effects on chronic pain. This bibliometric analysis indicated that prospective, multi-center, large-sample, randomized controlled trials are still needed to further verify the effectiveness of various transcranial magnetic stimulation parameters in pain research. (shrink)

ObjectivesAlthough socioeconomic status has been shown to be an important determinant of physical activity in adults, the association in children and adolescents remains less consistent based on evidence from western developed countries. The purpose of this study, therefore, is to investigate associations between SES and PA among Chinese children and adolescents.MethodsA cross-sectional study was conducted with a self-reported questionnaire in China. The multi-stage stratified cluster sampling method was used, and 2,955 children and adolescents were enrolled in this study. SES (...) was assessed by measuring parental education levels, perceived family wealth, and Family Affluence Scale II. PA was assessed by reliable and valid items from the Health Behavior School-aged Children Surveillance questionnaires. Descriptive statistics were used to report sample characteristics, including demographic characteristics, levels of PA, and SES. The Chi-square test was applied to analyze the differences of PA in gender and school period. Binary logistic regression was used to analyze the association between SES and PA among children and adolescents.ResultsOverall, 10.4% of children and adolescents accumulated moderate-to-vigorous physical activity at least 60 min per day. Boys were more physically active than girls. Higher socioeconomic status was positively associated with higher physical activity levels among children and adolescents, especially using FAS and mother education level as SES measures. The association between SES and PA varied by gender and grade group, and the effects of SES are also different on weekdays and weekends.ConclusionThis study found socioeconomic disparities in PA among Chinese children and adolescents, and showed the importance of targeting children and adolescents with low SES intervention priority. Based on these research findings, it is suggested that SES, especially for FAS and mother education level, should be considered when designing and implementing the promotion of regular PA in children and adolescents. Health policymakers may use this information to develop interventions to reduce health inequalities among children and adolescents in the future. (shrink)

Public discourse about the COVID-19 that appears on Twitter and other social media platforms provides useful insights into public concerns and responses to the pandemic. However, acknowledging that public discourse around COVID-19 is multi-faceted and evolves over time poses both analytical and ontological challenges. Studies that use text-mining approaches to analyse responses to major events commonly treat public discourse on social media as an undifferentiated whole, without systematically examining the extent to which that discourse consists of distinct sub-discourses or (...) which phases characterize its development. They also confound structured behavioural data with unstructured user-generated data in their sampling methods. The present study aims to demonstrate how one might go about addressing both of these sets of challenges by combining corpus linguistic methods with a data-driven text-mining approach to gain a better understanding of how the public discourse around COVID-19 developed over time and what topics combine to form this discourse in the Australian Twittersphere over a period of nearly four months. By combining text mining and corpus linguistics, this study exemplifies how both approaches can complement each other productively. (shrink)

The main goals of this study were, to test the motivational determinants of athletes perceived effort in football considering the four-stage motivational sequence at the contextual level proposed by Hierarchical Model of Intrinsic and Extrinsic Motivation: task-involving, basic psychological needs, self-determined motivation and perceived effort. The multi-group analysis across different age-groups (U15, U17, U19, U21 years) and mediation role of basic psychological needs and self-determined motivation on the task-involving climate and the perceived effort were also analysed. Two independent (...) samples of male football athletes (N= 403, N= 403), aged 13-20 were enrolled in this study. The results demonstrated that structural model provided a good fit to data for all samples under analysis, and was invariant across U17, U19, and U21. However, it was not invariant across U15 and U17, U19 and U21. Additionally, in the results from the mediation analysis, there were significant indirect effects in all samples, supporting theoretical by self-determination theory assumptions, reinforcing the importance of basic psychological needs satisfaction and behavioral regulation in the relation in analysis. The results allow concluding that when coaches promote a task-involving climate, the basic psychological needs satisfaction of athletes improves. This climate will facilitate the regulation of their behaviors towards more autonomous forms of motivation, with positive results in the perceived effort of the athletes. (shrink)

When we examine the quality of life for each individual, several specific dimensions need to be considered. Health conditions and quality of family relationships are critical. When the individual in question is married, his/her marital quality is important. When he/she has a job, subjective assessment of that job is important. Social relationships regarding friends, neighbors, colleagues, relatives, etc. may be critical also. Although the quality of life is more than the sum of qualities of these specific areas of one's life, (...) it is still determined to a great extent by the qualities of these sub-areas, including marital and family relationships. (shrink)

The new millennium has witnessed a growing concern over the impact of multinational enterprises (MNEs) on human rights. Hence, this article explores (1) how wide-spread corporate policies on human rights are amongst large corporations, specifically the FTSE 100 constituent firms, (2) whether any sectors are particularly active in designing human rights policies and (3) where corporations have adopted such policies what their content is. In terms of adoption rates of human rights policies, evidence of exemplary approaches in individual companies contrasts (...) with a less satisfactory engagement pattern across the sample, as 42.8% of firms do not seem to address human rights at all. With regard to the content of corporate human rights policies, the study found shallow commitments to dominate, where companies focus on a narrow range of negative rights, i.e. on respecting human rights, rather than positive ones, i.e. initiatives to protect or fulfil human rights. (shrink)

In view of the aging and dejuvenation of the working population and the expected shortages in employees’ skills in the future, it is of utmost importance to focus on older workers’ employability in order to prolong their working life until, or even beyond, their official retirement age. The primary aim of the current study was to examine the relationship between elderly workers’ employability (self-)perceptions and their intention to continue working until their official retirement age. In addition, we studied the role (...) of potential antecedents of their perceived employability at three different levels: training and education in current expertise area as well as in an adjacent expertise area (individual level factor), learning value of the job (job level factor), and organizational career management practices (organizational level factor). Data were collected by means of e-questionnaires that were distributed among two groups of Dutch older (45-plus) white collar workers. The samples consisted of 223 employees of an insurance company, and 325 university workers, respectively. Our research model was tested separately in each sample using Structural Equation Modelling; in our analyses, we controlled for the effects of respondents’ (self-)perceived health and (self-)perceived financial situation. Similar results were found for both samples. First, the relationship of perceived employability with the intention to continue working until one’s retirement age was positive, whereas the relationship between a perceived good financial situation with the intention to continue working until one’s retirement age was negative. Secondly, as regards the potential antecedents, results showed that the learning value of the job was positively related to perceived employability. In addition, an employee’s perception of good health is a relevant correlate of perceived employability. So, whereas perceived employability contributes to the intention to continue working until one’s retirement age, a perceived good financial situation is a push factor to retire early. In order to promote the labour participation of older workers, this study indicates that organizations should focus on the learning possibilities that are inherent to one’s job rather than on providing additional training or career management. Further research is needed to test the generalizability of our results to other samples. (shrink)

This study linked background TV and socioeconomic status to minority children’s Persian vocabulary development. To this end, 80 Iranian preschool children from two minority groups of Arabs and Turks were selected using stratified random sampling. They were simultaneous bilinguals, i.e., their mother tongue was either Arabic or Azari and their first language was Persian. Language sample analysis was used to measure vocabulary development through a 15-min interview by language experts. The LSA measures included total number of utterances, total (...) number of words, total number of new words, and mean length of utterance. A series of independent-samples t test, paired-samples t test, and repeated measures MANOVA tests were ran to examine data. Results showed significant improvements in children’s vocabulary scores from pretest to posttest for all children. In addition, high-SES children scored higher on the vocabulary measures in pretest and posttest. Moreover, background TV was associated with higher means in the TNW and the NDW in groups. The researchers concluded that background TV may be related to higher vocabulary scores in low-SES families as it may compensate for some linguistics gaps in these families including lower amount of child-parent interaction, play, and parents’ level of literacy. (shrink)

Purpose Computing ethics represents a long established, yet rapidly evolving, discipline that grows in complexity and scope on a near-daily basis. Therefore, to help understand some of that scope it is essential to incorporate a range of perspectives, from a range of stakeholders, on current and emerging ethical challenges associated with computer technology. This study aims to achieve this by using, a three-pronged, stakeholder analysis of Computer Science academics, ICT industry professionals, and citizen groups was undertaken to explore what (...) they consider to be crucial computing ethics concerns. The overlap between these stakeholder groups are explored, as well as whether their concerns are reflected in the existing literature. Design/methodology/approach Data collection was performed using focus groups, and the data was analysed using a thematic analysis. The data was also analysed to determine if there were overlaps between the literature and the stakeholders’ concerns and attitudes towards computing ethics. Findings The results of the focus group analysis show a mixture of overlapping concerns between the different groups, as well as some concerns that are unique to each of the specific groups. All groups stressed the importance of data as a key topic in computing ethics. This includes concerns around the accuracy, completeness and representativeness of data sets used to develop computing applications. Academics were concerned with the best ways to teach computing ethics to university students. Industry professionals believed that a lack of diversity in software teams resulted in important questions not being asked during design and development. Citizens discussed at length the negative and unexpected impacts of social media applications. These are all topics that have gained broad coverage in the literature. Social implications In recent years, the impact of ICT on society and the environment at large has grown tremendously. From this fast-paced growth, a myriad of ethical concerns have arisen. The analysis aims to shed light on what a diverse group of stakeholders consider the most important social impacts of technology and whether these concerns are reflected in the literature on computing ethics. The outcomes of this analysis will form the basis for new teaching content that will be developed in future to help illuminate and address these concerns. Originality/value The multi-stakeholder analysis provides individual and differing perspectives on the issues related to the rapidly evolving discipline of computing ethics. (shrink)

This study investigates the moderating effect of students’ programs on entrepreneurship education aimed at pre-start-up and its effect on the students’ behavior. This study also attempts the level of entrepreneurship education and pre-start-up behavior among students. A survey was carried out among 441 final year students, including 214 students from business programs, and 227 students from non-business programs. Data were analyzed using IBM SPSS 22 and SmartPLS 3.3.0, to perform descriptive and multi-group analysis, including assessment of measurement invariance (...) of the composite model. The results reveal that all direct relationships were supported. It was also found that student programs do have a moderating effect on the relationship between entrepreneurship education and pre-start-up behavior. Furthermore, the results discovered that risk control is a crucial component of entrepreneurship education and should be highlighted in the curriculum. This study contributes to the literature by considering student programs as a moderator, a comparatively new factor in the pre-start-up behavior among university students at the tertiary level. Therefore, entrepreneurship education must be properly designed, and the co-curriculum must be properly organized, so that entrepreneurship will be the preferred career choice in the future. (shrink)

The coronavirus disease 2019 pandemic and its effects on an individual’s life have altered the consumer behavior. In the context of purchase and consumption, a shift from conventional to green purchase has been noticed. Although the factors underlying this shift were relatively unexplored, the study aimed to identify the factors that influenced a significant role in the green purchases during the outbreak and the relationship of these factors with green purchase behavior. Subsequently, this study investigates and interprets the role of (...) fear of COVID-19, psychological distress, and mortality salience in predicting consumer’s GPB. This research adopted a quantitative methodology using data collected from 432 respondents in various cities across Pakistan. Smart-PLS 3 was used to evaluate the measurement model, structural model, and multi-group analysis. Despite having the negative psychological and physical impact of the pandemic, a significant proportion of customers have switched to healthier and sustainable products. This research revealed that the FCV, PD, and MS plays a substantial role in adopting GPB. All the direct relationships were positive and significant. In addition, MS and PD partially mediate the effect of FCV on GPB. Furthermore, the MGA revealed that the infected respondents were interested in purchasing green products than uninfected respondents due to their FCV; conversely, the PD and MS were higher in uninfected individuals than infected ones. However, there is a vast literature on GPB, but little has investigated the cumulative impact of FCV, PD, and MS on GPB. (shrink)

Combining the frameworks of multi-dimensional analysis and rhetorical structure theory, this study examines the linguistic co-occurrence patterns in the discourse of corporate annual reports and interprets their underlying functional dimensions. Our corpus consists of texts of corporate 10K reports from firms listed on New York Stock Exchange. Five functional dimensions are quantitatively extracted and qualitatively interpreted: expression of direct persuasion; expression of impersonal stance; subjective versus objective positioning; integrative expression of stance versus fragmented expression; and expression of reliability. (...) All these dimensions contribute to the communicative function of persuasion. The analysis of the rhetorical structures of excerpts with high concentrations of co-occurring linguistic features on each dimension further indicates the communicative strategy of persuasion. The proposed MD model is then applied to analyze the effect of firm performance on the linguistic variation in CAR discourse. We found that firm performance can significantly affect the linguistic variation in CAR discourse. CAR discourse from firms with good performance is more reliable. The result reveals managements’ use of concealment strategy in impression management. This study has implications for MD analysis, business discourse analysis, language pedagogy and accounting research. (shrink)

Python language has become the most popular computer language. Python is widely adopted in computer courses. However, Python language’s effects on the college and university students’ learning performance, motivations, computer programming self-efficacy, and maladaptive cognition have still not been widely examined. The main objective of this study is to explore the effects of learning Python on students’ programming learning. The junior students of two classes in a college are the research participants. One class was taught Java language and the other (...) class was taught Python language. The learning performance, motivations, and maladaptive cognition in the two classes were compared to evaluate the differences. The results showed that the motivations, computer programming self-efficacy, and maladaptive cognition on the learning performance were significant in the Python class. The results and findings of this study can be used in Python course arrangement and development. (shrink)

Are there significant variations across major religious faiths about the proper political roles of religion? Using recent WorldValues/EuropeanValues data from 63 countries we study the attitudes of mass publics on two separate aspects of this question. First, should religious beliefs be used as a criterion for selecting political leaders (dimension I)? Second, should religious leaders use their position for political influence (dimension II)? For dimension I we find that Muslims are somewhat more likely than followers of other faiths and denominations (...) to say that religious beliefs are important in selecting leaders. The remaining results of our investigation somewhat weaken or modify this result. On dimension II we find that Muslims do not stand out as comparatively favorable towards the view that religious leaders shall use their position for political influence. Finally, we find a negative, albeit weak and somewhat irregular effect of education on attitudes towards a close link between religion and political leadership (dimension I). However, this effect holds up equally well for Muslims as for other denominations, suggesting that Muslims are not immune to the effects of secularization. (shrink)