Using Robert Merton’s perspective on social structure [Social theory and structure. Free Press, New York, 1968], this study tested the individual-level association between job position and ethical reasoning. Anomie theory was employed to examine how country-level factors moderate that individual-level association. The hierarchical linear modeling (HLM) method was used to analyze 22,359 subjects from 28 nations. The statistical results proved that workers are more likely to justify ethically suspect behaviors, and that this individual-level relationship is moderated by (...) the country-level factors of power distance, masculinity, social inequality, and education accessibility. These results imply that Merton’s view of social structure and contemporary anomie theorists’ perspective of anomie [Messner and Rosenfeld (Crime and the American dream. Wadsworth, Belmont, 2001); Rosenfeld and Messner (The future of anomie theory. Northeastern University Press, Boston, 1997)] are mutually complementary rather than exclusive. (shrink)

One of the central debates in the cognitive science of language has revolved around the nature of human linguistic competence. Whether syntactic competence should be characterized by abstract hierarchical structures or reduced to surface linear strings has been actively debated, but the nature of morphological competence has been insufficiently appreciated despite the parallel question in the cognitive science literature. In this paper, in order to investigate whether morphological competence should be characterized by abstract hierarchical structures, we conducted (...) the crowdsourced acceptability judgment experiment on morphologically complex words and evaluated five computational models of morphological competence against human acceptability judgments: Character Markov Models (Character), Syllable Markov Models (Syllable), Morpheme Markov Models (Morpheme), Hidden Markov Models (HMM), and Probabilistic Context-Free Grammars (PCFG). Our psycholinguistic experimentation and computational modeling demonstrated that "morphous" computational models with morpheme units outperformed "amorphous" computational models without morpheme units and, importantly, PCFG with hierarchical structures most accurately explained human acceptability judgments on several evaluation metrics, especially for morphologically complex words with nested morphological structures. Those results strongly suggest that human morphological competence should be characterized by abstract hierarchical structures internally generated by the grammar, not reduced to surface linear strings externally attested in large corpora. (shrink)

The present study investigated estimate biases in cross-classified random effect modeling and hierarchical linear modeling when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of coefficient, the correlation between the level 2 residuals, the number of groups, the average number of individuals sampled from each group, the intra-unit correlation coefficient, and the number of feeders. The targeted interests of the coefficients (...) were four fixed effects and two random effects. The results showed that ignoring a crossed factor in cross-classified data causes a parameter bias for the random effects of level 2 predictors and a standard error bias for the fixed effects of intercepts, level 1 predictors, and level 2 predictors. Bayesian information criteria generally outperformed Akaike information criteria in detecting the correct model. (shrink)

A common approach for measuring the effectiveness of an education system or a school is the estimation of the impact that school interventions have on students’ academic performance. However, the latest trends aim to extend the focus beyond students’ acquisition of knowledge and skills, and to consider aspects such as well-being in the academic context. For this reason, the 2015 edition of the international assessment system PISA incorporated a new tool aimed at evaluating the socio-affective variables related to the well-being (...) of students. It is based on a definition focused on the five dimensions proposed in PISA theoretical framework: cognitive, psychological, social, physical and material. The main purpose of this study is to identify the well-being components that significantly affect student academic performance and to estimate the magnitude of school effects on the well-being of students in OECD countries, the school effect being understood as the ability of schools to increase subjective student well-being. To achieve this goal, we analyzed the responses of 234,000 students from thirty-five OECD countries to PISA 2015 questionnaires. Specifically, we considered non-cognitive variables in the questionnaires and student performance in science. The results indicated that the cognitive well-being dimension, composed of enjoyment of science, self-efficacy and instrumental motivation, as well as the test anxiety all had a consistent relationship with student performance across countries. In addition, the school effect, estimated through a two-level hierarchical linear model, in terms of student well-being was systematically low. While the school effect accounted for approximately 25% of the variance in the results for the cognitive dimension, only 5-9% of variance in well-being indicators was attributable to it. This suggests that the influence of school on student welfare is weak, and the effect is similar across countries. The present study contributes to the general discussion currently underway about the definition of well-being and the connection between well-being and achievement. The results highlighted two complementary concerns: there is a clear need to promote socio-emotional education in schools, and it is important to develop a rigorous framework for well-being assessment. The implications of the results and proposals for future studies are discussed. (shrink)

A system as complex as man can be viewed from many sides, and the one or the other axis can be selected to form a theoretical image. Partial truths will emerge, and their mutual intermeshing will gradually raise truth to higher levels. … It has always proven prejudicial to attribute general validity to a partial truth. Yet, a partial truth could not have been reached without overstating its value. Thus the history of truth is intimately interconnected with the history of (...) emotion, but the latter has remained in the dark.Robert Musil, The Man Without Qualities. (shrink)

In most decision-making situations, there is a plethora of information potentially available to people. Deciding what information to gather and what to ignore is no small feat. How do decision makers determine in what sequence to collect information and when to stop? In two experiments, we administered a version of the German cities task developed by Gigerenzer and Goldstein (1996), in which participants had to decide which of two cities had the larger population. Decision makers were not provided with the (...) names of the cities, but they were able to collect different kinds of cues for both response alternatives (e.g., “Does this city have a university?”) before making a decision. Our experiments differed in whether participants were free to determine the number of cues they examined. We demonstrate that a novel model, using hierarchical latent mixtures and Bayesian inference (Lee & Newell, 2011) provides a more complete description of the data from both experiments than simple conventional strategies, such as the take–the–best or the Weighted Additive heuristics. (shrink)

Interest in corporate social responsibility (CSR) is gaining momentum in academic and managerial circles. However, prior work in the area has paid little attention to how CSR initiatives should be implemented inside the organization. Against this backdrop, this study examines the impact of CSR initiatives on an important stakeholder group—employees. We build and test a comprehensive multilevel framework that focuses on whether employees derive job satisfaction from CSR programs. The proposed model predicts that a manager’s charismatic leadership influences employees’ interpretations (...) about the motives underlying their companies’ engagement in CSR initiatives (intrinsic and extrinsic CSR-induced attributions) which, in turn, influence employee job satisfaction. Hierarchical linear modeling of data from 47 organizational units comprising 438 employees from three world-leading manufacturing organizations shows that when employees think that their manager possesses charismatic leadership qualities, they tend to attribute the organization’s motives for engaging in CSR activities to intrinsic values, which, in turn, are positively associated with job satisfaction. Also, the extent to which managers are perceived as charismatic leaders relates positively to job satisfaction. Interestingly, CSR-induced extrinsic attributions are neither explained by charismatic leadership nor do they predict job satisfaction. Implications for both theory and practice are discussed. (shrink)

In recent years, the construct of mindfulness has gained growing attention in psychological research. However, little is known about the effects of mindfulness on interpersonal interactions and social relationships at work. Addressing this gap, the purpose of this study was to investigate the role of mindfulness in leader-follower-relationships. Building on prior research, we hypothesize that leaders’ mindfulness is reflected in a specific communication style (“mindfulness in communication”), which is positively related to followers’ satisfaction with their leaders. We used nested survey (...) data from 34 leaders and 98 followers from various organizations and tested mediation hypotheses using hierarchical linear modeling. Our hypotheses were confirmed by our data. Leaders’ self-reported mindfulness showed a positive relationship with several aspects of followers’ satisfaction. This relationship was fully mediated by leaders’ mindfulness in communication as perceived by their followers. Our findings emphasize the potential value of mindfulness in workplace settings. They provide empirical evidence for a positive link between leaders’ dispositional mindfulness and the wellbeing of their followers, indicating that mindfulness is not solely an individual resource but also fosters interpersonal skills. By examining leaders’ mindfulness in communication as an explanatory process, we created additional clarification about how leaders’ mindfulness relates to followers’ perceptions. Moreover, by suggesting mindfulness in communication as a behavioral correlate of mindfulness, we offered a promising starting point for indirect measures of mindfulness. (shrink)

The aim of this study is to develop an integrative model linking the effect of authoritarian leadership and differential leadership on employee turnover intention, and further explore the moderating role of the in-group/out-group on the above-mentioned relationships. We collected a sample of 624 supervisor–subordinate dyads from 87 teams in Mainland China and Taiwan. We find that, at the individual level, authoritarian leadership is positively related with employee turnover intention, and the relationship will be enhanced especially when the subordinate is an (...) in-group member. Through hierarchical linear modeling analysis, we find a negative relationship between differential leadership and employee turnover intention, significantly moderated by the within-team mean degree and the within-team variance degree of in-group/out-group. Contributions, limitations, and future research directions are discussed. (shrink)

Employees often experience ethical dilemmas throughout their service in an organization. This study utilized a multilevel standpoint to address employees’ differences in ethical reasoning. Hierarchical linear modeling was used to analyze responses from 40,485 full‐time employees across 54 countries. Drawing from Durkheim's concepts of the homo duplex, socialization process, and social conditions, this study found a positive relationship between employees’ income level and unethical reasoning. Furthermore, the results indicate that modern social regulation, technological advancement, economic development, and (...) economic change moderate the relationship between income and ethical judgment. The study findings contribute to the Durkheimian model by validating the effects of individual‐ and country‐level factors on employees’ ethicality. Considering that the results contradict Durkheim's initial propositions, another concept and theory are proposed, which may complement Durkheim's arguments. Practical implications for organizations and society are further discussed to reinforce employees’ ethics. (shrink)

Ethics has recently gained importance in the debate over social capital creation. The goal of this study is to empirically examine the ethical work context of the firm as an antecedent of the firm’s internal social capital. We build on person–situation interactionist theory to argue that individuals can learn standards of appropriate behavior induced by the ethical work context in which they are embedded. By creating an ethical work context, managers can facilitate the process through which employees learn to feel (...) empathy toward others and establish profound affective relationships with them. Data were collected from 1,817 individuals in 36 business units of 7 Spanish, French, and Portuguese corporations. Using structural equation and hierarchical linear modeling techniques, our results reveal three phenomena. First, we show that a business unit’s ethical work context exerts significant influence on the structural, relational, and cognitive dimensions of internal social capital. Second, the managerial practices that constitute the ethical work context are not equally important across the seven corporations; in particular, managerial practices are more influential in those corporations that belong to knowledge-intensive industries. Third, a business unit’s internal social capital is influenced not only by the business unit’s ethical work context, but also by the ethical work context of the corporation to which it belongs. (shrink)

Previous research has examined the role of formal classroom economics education on student learning. However, few studies have examined the role of both in school and out of school economics education exposure on student learning. Using data from the 2006 National Assessment of Educational Progress (NAEP)-Economics 12th grade assessment, we conducted an analysis using multilevel modeling to examine both student- and school-level effects on economics content knowledge. We analyzed the relationship among student-level variables including demographics, economics course structure, and (...) instructional exposure. Unlike prior studies, we accounted for the nesting of students in schools and determined significant building-level effects associated with NAEP-E outcomes. We included district and state accountability policies (e.g., required testing and graduation requirements) as well as contextual variables (e.g., percent minority and percent college bound) at the building level. Findings offered a more nuanced interpretation of earlier NAEP-E studies and extended earlier analyses to include instructional exposure and building-level effects. (shrink)

Dysfunctional customer behavior is common in service settings. For frontline employees, negative encounters can cause short-term despondency or have profound, long-term psychological effects that often result in both direct and indirect costs to service firms. Existing research has explored the influence of dysfunctional customer behavior on employee emotions, but it has not fully investigated the psychological mechanism through which customer misbehavior transforms into employee responses. To maintain service quality and employee well-being, it is important to understand the impact of customer (...) misconduct on employee emotions and its effect on subsequent service behavior. To assess the process through which dysfunctional customer behavior manifests as negative emotions in frontline service employees, and the influence of negative employee emotions on their prosocial service behavior, we surveyed 185 frontline banking service employees. We sought information on service employee experiences, attitudes, and feelings regarding dysfunctional customer behaviors, the perceived level of supervisor support, and employee prosocial service behavior intentions. Structural equation modeling and hierarchical linear modeling were used for statistical analysis and hypothesis verification. Results indicate that dysfunctional customer behavior has a positive relationship with bank service employee negative emotions and a negative influence on employee prosocial service behavior. The study found that negative emotions fully mediated the relationship between dysfunctional customer behavior and prosocial service behavior. The moderating role that perceived supervisor support plays on the relationships between dysfunctional customer behavior and negative emotion was also investigated. The results show that perceived supervisor support moderates the relationship between dysfunctional customer behavior and negative employee emotions. Finally, the study provides bank managers with effective strategies to assist frontline employees to manage and deter dysfunctional customer behavior, and presents employees with internal recovery strategies when encountering dysfunctional customer behavior. (shrink)

In this paper, we examine the relationships between three of the Big 5 personality traits and willingness to justify unethical behavior. We also consider the moderating relationship of four of the GLOBE cultural dimensions on the above relationship. We tested our propositions on a sample of 38,655 individuals from 23 different countries obtained from the latest data available from the World Values Survey Group’s survey. We found that conscientiousness and agreeableness were both negatively associated with willingness to justify unethical behavior. (...) We also conducted Hierarchical Linear Modeling and found significant interaction effects of selected GLOBE cultural dimensions on the relationships between personality traits and willingness to justify unethical behavior. We provide managerial implications of our findings, as well as suggestions for future research. (shrink)

Based on attribution theory, this research defines pseudo-transformational leadership to be driven by the interaction between transformational leadership and the subordinates’ perception of their supervisor’s manipulative intention. We investigate the effects of pseudo-transformational leadership on contextual performance through organizational identification. The results of hierarchical linear modeling using a sample of 214 subordinates reporting to 66 supervisors show that when subordinates perceive that their supervisor has a high level of manipulative intention, the impact of group-level transformational leadership on (...) the subordinates will be reduced. More specifically, when subordinates perceive the manipulative intention of transformational leadership, they are less likely to identify with the organization, which ultimately limits their willingness to demonstrate contextual performance activities. The implications of these findings for theory as well as managerial practice are discussed. (shrink)

Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to (...) explaining variance in ethical behaviors than do values at the societal-level. Implicitly, our findings question the soundness of using societal-level values measures. Implications for international business research are discussed. (shrink)

Science motivational beliefs are crucial for STEM (science, technology, engineering, and math) performance and persistence, but these beliefs typically decline during high school. We expanded the literature on adolescents’ science motivational beliefs by examining: 1) changes in motivational beliefs in three specific science subjects, 2) how gender, immigrant generation status, and perceived support from key social agents predicted differences in adolescents’ science motivational beliefs, and 3) these processes among Latino/as in the United States, whose underrepresentation in STEM is understudied. We (...) used hierarchical linear modeling to estimate the changes in 104 (40% female) Latino/a high school students’ physics, chemistry, and biology motivational beliefs from 9th to 11th grade. Subject-specific ability self-concept, interest, and utility were regressed on gender, immigrant generation status, and perceived science support while controlling for family income, parent education, and adolescents’ school. Adolescents’ utility declined from 9th to 11th grade whereas their interest remained stable for all three science subjects. Adolescents’ ability self-concept increased for biology, decreased for physics, but remained stable for chemistry. Gender differences in adolescents’ motivational beliefs at 9th grade only emerged for physics utility as well as physics and chemistry interest; yet, there were no gender differences in how adolescents’ science motivational beliefs changed over time. Contrary to expectations, immigrant generation status was not significantly associated with adolescents’ science motivational beliefs at 9th grade or in terms of how they changed over time. Adolescents who perceived higher science support generally had higher motivational beliefs in 9th grade, but did not differ on their rate of change. Our findings highlight the need to examine specific science subjects, and that typical gender differences in adolescents’ motivational beliefs discussed in the literature may not generalize to all racial and ethnic groups. (shrink)

Job characteristics play an essential role for the well-being of employees. When job characteristics are unfavorable, the experienced exchange relationship with one’s supervisor may become relevant to weaken negative consequences. We conducted a diary study over ten consecutive working days with 112 academics. Based on conservation of resources theory, we assumed that daily LMX constitutes a resource for employees that moderates the link between job characteristics and job satisfaction as well as emotional exhaustion. Additionally, we proposed lagged-effects of morning job (...) characteristics and LMX on next-day morning job satisfaction and emotional exhaustion. Findings from hierarchical linear modeling demonstrated that on the day-level higher perceived levels of job control in the morning were associated with higher perceived job satisfaction and lower perceived emotional exhaustion in the afternoon. The experience of increased time pressure in the morning was negatively related to perceived day-level afternoon job satisfaction and positively to perceived day-level afternoon emotional exhaustion. Within one day, perceived LMX moderated the relationship between perceived job control and perceived job satisfaction in the afternoon. We only found lagged effects of the interaction between afternoon job control and afternoon LMX on next-day morning job satisfaction. We discuss daily LMX as a resource for employees both within one day and from day-to day, along with future research directions on the buffering role of LMX. (shrink)

Highlighting the implications of entrepreneurship education, this study examines the effects of entrepreneurship education in predicting the entrepreneurial intention of university students. The study also explores the mediating role of opportunity recognition and the moderating role of entrepreneurial learning in this process. To test our multilevel-moderated mediation model, based on a dataset containing 1,150 university students from 55 universities in the Guangdong-Hong Kong-Macao Greater Bay Area of China, hierarchical linear modeling is utilized to test the research hypotheses. (...) The findings reveal that entrepreneurship education can promote the entrepreneurial intention of students through opportunity recognition. Furthermore, entrepreneurial learning plays a moderating role in the link between entrepreneurship education and opportunity recognition. Implications for the design and delivery of entrepreneurship education are discussed. (shrink)

The present study critically evaluates whether school leadership influences student learning homogenously regardless of school contexts. It examined relationships between four principal leadership variables (envisioning, instructional management, promoting professional development, empowerment) and two types of student outcomes (enjoyment in learning science, science achievement,) in different school contexts (in terms of the availability of science resources, quality of science teachers, and school socioeconomic status (SES)). The sample comprised 248,620 students and 9,370 principals in 35 developed countries who participated in the Programme (...) for International Student Assessment (PISA) 2015. Latent profile analysis (LPA) showed that schools operated in three types of school contexts with different levels of science resources, proportion of quality science teachers, and school SES. There were also differences in the pattern of leadership practices across the three types of school contexts. Three-level hierarchical linear modeling (HLM) showed that among the four leadership variables, only instructional management was positively associated with students’ enjoyment of science in schools with less science resources and quality science teachers. Therefore, instructional management had compensatory effects for students in less-endowed schools. In contrast, principal leadership related to envisioning, teacher professional development, and empowerment was not positively related to students’ science learning in all three school contexts. (shrink)

Chinese characters are central to understanding how learners learn to read a logographic script. However, researchers know little about the role of character writing in reading Chinese as a second language. Unlike an alphabetic script, a Chinese character symbol transmits semantic information and is a cultural icon bridging embodied experience and text meaning. As a unique embodied practice, writing by hand contributes to cognitive processing in Chinese reading. Therefore, it is essential to clarify how Chinese character writing, language distance, and (...) cultural background influence CSL reading proficiency. Based on extant research on L2 reading acquisition and strength of key theoretical perspectives of embodied cognition theory, this study tested a regression model for CSL reading involving individual-level factors and group-level predictors. This study collected big data in a sample of 74,362 CSL learners with 67 diverse L1s. Results of hierarchical linear modeling showed a significant effect of CCWP and significant language distance × CCWP interaction effect on reading proficiency; however, cultural background × CCWP interaction effect was not significant. These results conform to the ECT and indicate that bodily activity, past language usage, and cultural background aided reading. CCWP may benefit from withstanding the negative transfer from L1s. Furthermore, CCWP and cultural background are not synergistic predictors of reading. This study may open novel avenues for explorations of CSL reading development. (shrink)

In this study, we used the framework of institutional anomie theory The future of anomie theory, Northeastern University Press, Boston, 1997) to examine the relationship between supervisors’ ethics and their personal value orientation, including achievement and pecuniary materialism. We further investigated whether these individual-level associations were moderated by societal factors consisting of income inequality, government efficiency, foreign competition, and technological advancement. Hierarchical linear modeling was used to analyze data of 16,464 supervisors from 42 nations obtained from the (...) 2010–2014 wave of the World Values Survey. Results showed that strong achievement value orientation was positively related to willingness to justify ethically suspect behaviors; government efficiency and technological advancement, respectively, had negative and positive moderating effects on this relationship. On the other hand, foreign competition had a positive moderating effect on the association between pecuniary materialism and ethicality. (shrink)

Objective: Parental influence during children’s “everyday” pain events is under-explored, compared to clinical or experimental pains. We trialed two digital reporting methods for parents to record the real-world context surrounding their child’s everyday pain events within the family home.Methods: Parents completed a structured e-diary for 14 days, reporting on one pain event experienced by their child each day, and describing child pain responses, parental supervision, parental estimates of pain severity and intensity, and parental catastrophizing, distress, and behavioral responses. During the (...) same 2-week period, a subsample of parent-child pairs completed digital ecological momentary assessments, immediately after any chosen pain event. Children reported their current pain while parents estimated the child’s pain and indicated their own distress.Results: “Everyday” pain events frequently featured minor injuries to the child’s head, hands or knees, and child responses included crying and non-verbal comments. Pain events occurred less frequently when parents had been supervising their child, and supervising parents reported lower levels of worry and anxiety than non-supervising parents. Child sex was significantly associated with parental estimates of pain intensity, with parents of girls giving higher estimates than parents of boys. Child age was significantly associated with both the number of pain events and with parental estimates of pain intensity and child distress: the youngest children experienced the fewest pain events but received higher pain and distress estimates from parents than older children. Hierarchal Linear Modeling revealed that parental estimates of pain severity were significant positive predictors of parental distress and catastrophizing in response to a specific pain event. Furthermore, higher levels of parental catastrophic thinking in response to a specific pain event resulted in increased distress, solicitousness, and coping-promoting behaviors in parents. The EMA data revealed that children reported significantly higher pain intensity than their parents.Conclusion: The electronic pain diary provided a key insight into the nature of “everyday” pain experiences around the family home. Digital daily reporting of how the family copes with “everyday” events represents a viable means to explore a child’s everyday pains without disrupting their home environment. (shrink)

Research in which participants report potentially dangerous health-related behaviors raises ethical and professional questions about what to do with that information. Policies and laws regarding reportable behaviors vary across states and Institutional Review Boards (IRB). In alcohol research, IRBs often require researchers to respond to participants who report dangerous drinking practices. Researchers have little guidance regarding how best to respond in such cases. Personalized feedback or general nonpersonalized information may prove differentially effective as a function of gender and/or level of (...) self-determination. This study evaluated response strategies for reducing peak blood alcohol concentration (BAC) among participants reporting dangerous BACs (≥ .35%) in the context of a two-year longitudinal intervention trial with 818 heavy drinking college students. After each assessment, participants who reported drinking to estimated BACs at or greater than .35% were sent either a personalized letter expressing concern and indicating their reported BAC or a nonpersonalized pamphlet that included general information about alcohol and other substances, referral information, and a BAC handout. Hierarchical linear modeling results revealed that both strategies were associated with reduced peak BAC when controlling for previous BAC. The personalized letter was more effective for women and for students who tend to regulate their behavior based on others' expectations and contingencies in the environment. This research provides some guidance for researchers considering appropriate responses to participants who report dangerous health behavior in the context of a research trial. (shrink)

The rapid development of digital technologies has transformed the world but can be a double-edged sword. We study the interaction of important variables that affect individual news reporters’ performance in which digital technology is the dominant feature. A multilevel model illustrates how transactive memory and job competence affect individual performance. The empirical study includes data from 19 teams of news reporters and 211 valid survey responses, applying hierarchical linear modeling to analyze the data. The results indicate that (...) transactive memory and technology competence help to improve a reporter’s job performance. More importantly, teamwork competence fully mediates the relationships. Our findings thus suggest that teamwork competence is the core skill. Neither technology competence nor transactive memory alone translates directly into enhanced individual performance. (shrink)

Although considerable attention has been paid to the application of leadership in virtual communities, the field of live streaming has not been involved. This exploratory study aimed to explore how different broadcaster leadership traits influence audiences’ loyalty. And audience self-construal was chosen as a key moderator. The top 15 broadcasters from the regional rankings were selected from each of the two popular live streaming platforms, Douyu and YouTube, for the study. And we used snowball sampling with a link to an (...) online questionnaire as a recruitment procedure. 310 audiences with live streaming experience from the Chinese Mainland and Taiwan participated. Hierarchical linear modeling was adopted for the analysis. This study found that broadcasters with servant and charismatic leadership traits positively affected cognitive loyalty. Broadcasters with servant leadership traits also had a positive effect on conative loyalty. Additionally, independent self-construal negatively moderated the relationship between servant leadership and cognitive loyalty. Independent self-construal positively moderated the relationship between authoritarian leadership and conative loyalty. Furthermore, interdependent self-construal negatively moderated the relationship between charismatic leadership and conative loyalty. Interdependent self-construal positively moderated the relationship between authoritarian leadership and conative loyalty. These conclusions extend the understanding of broadcasters’ traits and audiences’ psychology concerning the booming phenomenon of live streaming and can help platform managers motivate audiences’ loyalty on these platforms. (shrink)

Emotional stability is of great importance for undergraduates and has significant predictive power for mental health. Emotions are associated with individuals’ daily lives and routines. Undergraduates commonly post their opinions and feelings on social networks, providing a huge amount of data for studying their emotional states and rhythms. Based on the construction of the emotion dictionary of undergraduates’ Tencent tweets —a social network for users to share their life situations and express emotions and feelings to friends—we used big data text (...) analysis technology to analyze the emotion words in 45,996 Tencent tweets published by 894 undergraduates. Then, we used hierarchical linear modeling to further analyze the daily rhythms of undergraduate students’ emotions and how demographic variables are associated with the daily rhythmic changes. The results were as follows: Undergraduates tweeted about more positive emotions than negative emotions ; The emotions in undergraduates’ tweets changed considerably from 1 a.m. to 6 a.m., but were fairly stable during the day; There was a rising trend in the frequency of using emotion words in Tencent tweets during the day as each hour progressed, and there was a higher increase in positive emotion than negative emotion; and The word frequencies and daily rhythms of emotions varied depending on demographic variables. Gender was correlated with the frequencies of gratitude and the daily rhythms of anger. As the grade increased, the frequency of emotion words in most subcategories in TTs decreased and the fluctuation in daily rhythms became smaller. There was no significant difference in the frequency and daily rhythm of emotion words used in TTs based on having had a left-behind experience. The results of the present study provided emotion expression in social networks in Chinese collectivist culture. This study added new evidence to support the notion that positive and negative emotions are independent dimensions. (shrink)

While simulation has been a staple of Social Studies curricula since the 1960s, few current studies have sought to understand the mechanisms behind how simulations may influence students’ learning and behavior. Learning theories around student engagement – specifically interest development theory (Hidi & Renninger, 2006) – may help explain students’ commitment to future political action. To incorporate this theory into the democratic education literature, this study asks: Do situational interest and simulation frequency uniquely contribute to students’ commitment to vote in (...) the future? Data included 260 students from 19 classrooms, 9 teachers, in 9 schools, recruited as part of a larger mixed-methods study on Project Based Learning. Hierarchical Linear Modeling (HLM) techniques were used to examine the relationship between individual outcomes and predictors across different classrooms and teachers. Analysis of data suggests both frequency of simulations and situational interest directly predict students’ commitment to vote but do not uniquely contribute to the outcome. Findings suggest situational interest may play an important role in influencing students’ learning and future political behavior. (shrink)

This paper deals with the question of whether uncertainty regarding model structure, especially in climate modeling, exhibits a kind of “chaos.” Do small changes in model structure, in other words, lead to large variations in ensemble predictions? More specifically, does model error destroy forecast skill faster than the ordinary or “classical” chaos inherent in the real-world attractor? In some cases, the answer to this question seems to be “yes.” But how common is this state of affairs? Are there precise (...) mathematical results that can help us answer this question? And is dependence on model structure “sensitive” in that arbitrarily small errors can destroy forecast skill? We examine some efforts in the literature to answer this last question in the affirmative and find them to be unconvincing. (shrink)

Businesses and the social sciences are increasingly facing calls to further scholarship dedicated to understand sustainability. Furthermore, multinationals are also facing similar calls given their high profile and their role in environmental degradation. However, a literature review shows that there is very limited understanding of sustainability at a cross-national level. Given the above gaps, we contribute to the literature by examining how selected GLOBE [House et al., Culture, leadership and organizations: The GOBE study of 62 societies. Sage Publications, Thousand Oaks, (...) 2004 ] cultural dimensions are related to individuals’ propensity to support sustainability initiatives in 33 countries. We use data from the World Values Survey [World Values Study Group, World Values Surveys and European Value Surveys, 1999–2001. Inter-University Consortium for Political and Social Research, Ann Arbor, 2004 ] and test our hypotheses using Hierarchical Linear Modeling (HLM). Results support all but one hypothesis. Specifically, uncertainty avoidance is not related to propensity to support sustainability initiatives. In contrast, performance orientation and assertiveness have the desired negative relationship with our dependent variable while collectivism, future orientation, and human orientation have the desired positive relationship. We discuss the conceptual and practical implications of this study. (shrink)

States are beginning to restructure their U.S. history assessments from previous multiple-choice based assessments to include written-response questions that have higher levels of academic language demands. These higher-order thinking and analytical items pose challenges to linguistically and culturally diverse students. The purpose of the current study is to investigate how the restructuring of a U.S. history state assessment is associated with English Learners’ (ELs) achievement over time. The author incorporates 3 years of data from the Tennessee Department of Education, and (...) utilizes multi-level modeling (Hierarchical Linear Modeling) to examine and compare the association between school percentage ELs and U.S. history achievement on Tennessee's (TN) U.S. history state assessment. Findings indicate that the restructuring of the TN U.S. history state assessment in the 2015–16 school year is significantly and inversely associated with ELs’ achievement on this assessment. At the same time, there are no significant associations for the 2012–13 and the 2013–14 school years. This suggests a negative inverse association between the restructuring of the TN U.S. history state assessment and ELs’ performance. In addition, this suggests that ELs’ lack of U.S. history reading and writing ability may have contributed to the negative association. (shrink)

Research concerning the relationship between psychological ethical climate and job satisfaction is popular in the literature. However, to date, no study in the literature has simultaneously investigated both the effects of individual-level and organization-level ethical climates on employees’ job satisfaction. On the basis of a multilevel analysis, the present study used a sample of 472 full-time employees from 31 organizations in Taiwan to examine the above two effects. Results from the analyses showed that within the organizations, individual employees’ instrumental climate (...) perceptions were negatively related to job satisfaction, whereas their caring climate perceptions and rules climate perceptions were positively related to job satisfaction. Also, the results indicated that between organizations, organizational instrumental climate was negatively related to job satisfaction, whereas organizational caring, independence, and rules climates were positively related to job satisfaction. Implications for research and managerial practices were derived from these findings. (shrink)

Item context effects refer to the impact of features of a test on an examinee’s item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as item position effects, or mode effects, thereby ignoring the fact that different item context effects might operate simultaneously. In this study, two different types of context effects were modeled simultaneously drawing on data from an item calibration study (...) of a multidimensional computerized test (N = 1,632) assessing student competencies in mathematics, science, and reading. We present a generalized linear mixed model (GLMM) parameterization of the multidimensional Rasch model including item position effects (distinguishing between within-block position effects and block position effects), domain order effects, and the interactions between them. Results show that both types of context effects played a role, and that the moderating effect of domain orders was very strong. The findings have direct consequences for planning and applying mixed domain assessment designs. (shrink)

BackgroundNurses working in the intensive care unit clung tenaciously to their job during the COVID-19 pandemic in spite of enduring stressed psychological and physical effects as a result of providing nursing care for the infected patients, which indicates that they possessed a high degree of professionalism and career calling. The aim of this study was to explain the associations between resilience, thriving at work, and ethical leadership influencing the calling of ICU nurses.MethodsFrom December 2020 to January 2021 during the COVID-19 (...) pandemic, a cross-sectional survey of 15 provinces in China was conducted using an online questionnaire. A total of 340 ICU nurses completed sufficient responses to be used in the study. Sociodemographic factors, job demographic factors, resilience, calling, thriving at work, and ethical leadership were assessed using the questionnaire. General linear modeling, hierarchical linear regression analysis, and generalized additive model were performed to examine all the considered research hypotheses.ResultsResilience was positively and significantly associated with calling. Moreover, thriving at work partially mediated the relationship between resilience and calling. The indirect effect of resilience on calling was 0.204, and the direct effect of resilience on calling through thriving at work was 0.215. The total effect of resilience on calling was 0.419. In addition, ethical leadership played a moderating role in the relationship between resilience and calling.ConclusionGreater resilience can positively predict increased calling among Chinese ICU nurses during the COVID-19 pandemic. Moreover, thriving at work is a mechanism that partly transmits the positive effects of resilience on calling. Overall, nurses possessing greater resilience tend to maintain thriving at work in the face of such adversity, further resulting in subsequently increased calling. Besides, findings suggest that there is stronger influence of resilience on calling among nurses working in an organization managed by an ethical leader. The current findings may offer two insights for nursing practitioners and policymakers in the postpandemic world. First, resilience training and intervention are necessary to foster nurses' sense of thriving at work in the nursing industry, further promoting career calling. Second, better training and effort on the development of ethical leadership for leaders in nursing practice are essential to encourage followers to engage in social learning of ethical behaviors and abiding by normatively appropriate conduct, further enacting prosocial values and expressing moral emotions. (shrink)

Ballard and Zhang offer a fascinating review of how computational models of human vision have evolved since David Marr proposed his Tri‐Level Hypothesis, with a focus on the refinement of algorithm descriptions over time.

Just as intuitionistic proofs can be modeled by functions, linear logic proofs, being symmetric in the inputs and outputs, can be modeled by relations . However generic relations do not establish any functional dependence between the arguments, and therefore it is questionable whether they can be thought as reasonable generalizations of functions. On the other hand, in some situations one can speak in some precise sense about an implicit functional dependence defined by a relation. It turns out that it (...) is possible to model linear logic with implicit functions rather than general relations, an adequate language for such a semantics being differential calculus. This results in a non-degenerate model enjoying quite strong completeness properties. (shrink)

The lockdown resulting from coronavirus disease 2019 has had a huge impact on peoples’ health. In sport specifically, athletes have had to deal with frustration of their objectives and changes in their usual training routines. The challenging and disruptive situation could hold implications for their well-being. This study examined the effect of the COVID-19 lockdown on changes in athletes’ reported eudaimonic well-being and goal motives over time. The relationship of resilience to changes in subjective vitality was also determined, and changes (...) in athletes’ goal motives were examined as potential mediators. Participants were 127 Spanish university athletes aged between 18 and 34 years. Approximately 4 months before the start of the lockdown in Spain, athletes responded to a questionnaire assessing their resilience, goal motives, and subjective vitality. Around 6 months later into the lockdown period, athletes’ goal motives and subjective vitality were assessed again. Growth modeling using hierarchical linear models revealed a significant decrease of autonomous goal motives and subjective vitality during the lockdown, but athletes did not show change over time in controlled goal motives. Path analysis, adjusting T2 measures for their corresponding T1 measures, showed that resilience significantly predicted changes in athletes’ autonomous goal motives, which then accounted for changes in subjective vitality. The indirect effect was significant. Resilience did not predict changes in athletes’ controlled goal motives. However, changes in controlled goal motives negatively predicted changes in subjective vitality during lockdown. The findings suggest negative impacts of the COVID-19 lockdown on athletes’ goal motives and eudaimonic well-being. Results also support the hypothesized mediational role of autonomous goal motives in the relationship between resilience and subjective vitality during the lockdown. As such, findings confirm the relevance of resilience to a key feature of athletes’ eudaimonic well-being and the importance of enhancing their autonomous goal striving. (shrink)

The effects of psycholinguistic variables on reading development are critical to the evaluation of theories about the reading system. Although we know that the development of reading depends on both individual differences (endogenous) and item-level effects (exogenous), developmental research has focused mostly on average-level performance, ignoring individual differences. We investigated how the development of word recognition in Chinese children in both Chinese and English is affected by (a) item-level, exogenous effects (word frequency, radical consistency, and curricular grade level); (b) subject-level, (...) endogenous individual differences (orthographic awareness and phonological awareness); and (c) their interactive effect. We tested native Chinese (Putonghua)-speaking children (n = 763) in grades 1 to 6 with both Chinese character and English word identification (lexical) decision tasks. Our findings show that (a) there were effects of both word frequency and age of acquisition in both Chinese and English, but these item-level effects generally weakened with increasing age; (b) individual differences in phonological and orthographic awareness each contributed to successful performance; and (c) in Chinese, item-level effects were weaker for more proficient readers. We contend that our findings can be explained by theoretical models that incorporate cumulative learning as the basis for development of item-level effects in the reading system. (shrink)

We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told how many numbers are in the list, and how they were chosen. People are then shown the numbers one at a time, and are instructed to choose the maximum, subject to the constraint that they must choose a number at the time it is presented, and any choice below the maximum is incorrect. We (...) present empirical evidence that suggests people use threshold-based models to make decisions, choosing the first currently maximal number that exceeds a fixed threshold for that position in the list. We then develop a hierarchical generative account of this model family, and use Bayesian methods to learn about the parameters of the generative process, making inferences about the threshold decision models people use. We discuss the interesting aspects of human performance on the task, including the lack of learning, and the presence of large individual differences, and consider the possibility of extending the modeling framework to account for individual differences. We also use the modeling results to discuss the merits of hierarchical, generative and Bayesian models of cognitive processes more generally. (shrink)

Spoken language consists of a linear sequence of units, from which the existence of particular underlying hierarchical processing mechanisms is inferred. Uddén et al. use graph theory to provide a framework for describing the possible structural relationships that may underlie a linear output sequence. Being more explicit in defining different structures can help identifying and testing for such structures in AGL experiments, as well as help showing how behavioral and neuroimaging data reveals signatures of hierarchical processing (...) in humans. (shrink)