The role and influence of workplace spirituality on individual and organisational outcomes continue to draw attention among management scholars. Despite this increased attention, extant literature has yielded limited insights particularly into the impact and influence processes of workplace spirituality on performance outcomes at both the individual and unit levels of analysis. Addressing this gap in research, we proposed and tested a multilevel model, underpinned by social cognitive theory, that examines the processes linking perceptions of workplace spirituality and performance outcomes (...) at the individual and organisational level of analysis. Data were obtained from 51 branches of a retail organisation in the United Kingdom. Results from structural equation modelling analysis revealed three salient findings. First, workplace spirituality was positively related to ethical climate, prosocial motivation, and moral judgment. Second, ethical climate partially mediated the relationship between workplace spirituality and prosocial motivation and moral judgment, respectively. Third, aggregated ethical climate significantly relates to branch-level helping behaviour and service performance. (shrink)

Distributions of human foraging success across age have implications for many aspects of human evolution. Estimating the distribution of foraging returns is complicated by (1) the zero-inflated nature of hunting returns, as many if not most trips fail, and (2) the substantial variation among hunters, independent of age. We develop a multilevel mixture analysis of human foraging data to address these difficulties. Using a previously published 20-year record of hunts by 147 individual Aché hunters in eastern Paraguay, we estimate (...) returns-by-age functions for both hunting failures and the size of harvests, while also estimating the heterogeneity among hunters. Consistent with previous analyses, we find that most hunters peak around 40 years of age. We can also show, however, that much more of the variation among Aché hunters arises from heterogeneity in failure rates (zero returns), not harvest sizes. We also introduce a new R package, glmer2stan, to assist in defining and fitting similar multilevel mixture models. (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)

Past research suggests that spiritual leadership plays a pivotal role in enhancing employee job performance, yet we have little understanding of how and when spiritual leadership enhances employee job performance. The present study explores how and when spiritual leadership promotes job performance by examining relational energy as a mediator and leader integrity and relational energy differentiation as boundary conditions. We tested the theoretical model with data gathered across three phases over 12 months from 497 employees and their supervisors in 108 (...) groups. Results showed that the positive relationship between spiritual leadership and job performance was mediated by relational energy. Moreover, we found that leader integrity amplified the mediated relationship between spiritual leadership and employee job performance via relational energy. In contrast, relational energy differentiation weakened this mediated relationship. (shrink)

In the social ecological model, personal characteristics are important determinants of health behaviors, however, multi-dimensional approaches that consider social and physical environments must be utilized to gain a broader picture. Accordingly, this study examines the effects of personal, social, and physical environment variables as factors affecting levels of physical activity. Our findings are based on 72,916 responses from the 2015 Community Health Survey in South Korea. Individual characteristics considered included sex, education level, marital status, age, and income. The social environment (...) variables considered were trust between neighbors and the social network with neighbors. The physical environment variables were satisfaction with living environment and satisfaction with public transportation. The analysis was conducted using a multilevel model in order to accurately consider the characteristic differences of the variables. Regarding personal characteristics, sex, education level, and age have a significant effect on physical activity. Of the social and physical environment variables, social network with neighbors and satisfaction with public transportation have a significant effect on physical activity. This study confirms that a macroscopic understanding is needed to explain individual levels of physical activity; the results of this study will be helpful for public health interventions concerning physical activity. (shrink)

Why do employees break organizational rules and why are organizations unable to prevent this? Past studies have suggested three predictors of rule-breaking: _predisposition_ due to normalization of rule-breaking; _pressure_ due to competitive and performance strain; and _opportunity_ to break the rules due to job characteristics associated with the assigned role and the time at work (e.g., Baucus, 1994). We used a purposive sample of 14,472 observations from 5,735 individuals nested in 199 organizations, to investigate these predictors in a sports context (...) where rule-breaking was likely to be low because of a high risk of detection and a strong compliance system. This allowed us to hold constant the effects of compliance systems and rules that were universally applied in all organizations so that we could compare differences in rule-breaking associated with predisposition, pressure, and opportunity. Compared to previous research, our method permitted us to draw four unique conclusions: (a) all three theories about predictors of rule-breaking were supported, even when all predictors were included simultaneously in a multivariate analysis; (b) individual rule-breaking was predicted by individual and organizational variables in multilevel models, suggesting that employees, the organization, and the industry all support rule-breaking under some conditions; (c) temporal precedence of predictor variables in longitudinal analysis suggested that they influenced current rule-breaking rather than the other way around; and (d) the use of a single-industry sample allowed us to collect nested data from individuals and organizations whose rule-breaking was more likely to be detected and penalized than in other industries, thus reducing undercount of rule-breaking. (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)

The proliferation of violations within industry sectors (e.g., banking, doping in sport, abuse in religious organizations) highlights how trust violations can thrive in particular sectors. However, scant research examines how macro institutional factors influence micro level trustworthy conduct. To shed light on how sectoral features may influence trust violations in organizations, we adopt a multilevel perspective to investigate the perceived causes of trust violations within the not-for-profit (NFP) sector, a sector that has witnessed a number of high-profile trust breaches. (...) Drawing on interviews with board members and senior executives of NFPs with cross-sectoral experience, we analyze the causes of trust violations to inductively develop a conceptual model of the multilevel factors contributing to trust violations in NFPs. Our model highlights how trust violations have their roots in sectoral-level factors, which trickle-down to influence the ethical infrastructure at the organizational-level, and in turn individual-level factors and violations. We identify how three NFP sectoral features influence trustworthy behavior: corporatization, resource scarcity, and assumed moral integrity. Our findings speak to the importance of looking beyond the organization to understand both the causes and prevention of trust violations and developing the concept of sector-level ethical infrastructure. (shrink)

I develop and test a multilevel trust-based model of ethical public leadership, which links ethical leadership, trust and leadership outcomes both within and across organizational levels. I examine how both ethical leadership and trust relate to employee well-being and satisfaction, group organizational citizenship behaviour and perceived organizational performance. The findings, based on data collected from an online quantitative survey conducted in three local councils of the north east of England, provide evidence in support of positive relationships between ethical leadership (...) and employees’ trust in leaders at multiple levels. This trust is in turn shown to influence employees’ attitudes, behaviours and cognitions. (shrink)

Whether level 1 predictors should be centered per cluster has received considerable attention in the multilevel literature. While most agree that there is no one preferred approach, it has also been argued that cluster mean centering is desirable when the within-cluster slope and the between-cluster slope are expected to deviate, and the main interest is in the within-cluster slope. However, we show in a series of simulations that if one has a multilevel autoregressive model in which the level (...) 1 predictor is the lagged outcome variable (i.e., the outcome variable at the previous occasion), cluster mean centering will in general lead to a downward bias in the parameter estimate of the within-cluster slope (i.e., the autoregressive relationship). This is particularly relevant if the main question is whether there is on average an autoregressive effect. Nonetheless, we show that if the main interest is in estimating the effect of a level 2 predictor on the autoregressive parameter (i.e., a cross-level interaction), cluster mean centering should be preferred over other forms of centering. Hence, researchers should be clear on what is considered the main goal of their study, and base their choice of centering method on this when using a multilevel autoregressive model. (shrink)

Based on the social identity theory, the relationship and influencing mechanism between high-performance human resource practices and employees’ voice behavior were explored by constructing a moderated mediation model, and the relationship between the field of human resources and the field of organizational behavior was also established. Through 1,178 paired samples of supervisor-employee survey and multilevel linear model analysis technology, it was found that HPHRPs had a positive impact on employees’ voice behavior; perceived insider status played a mediating role between (...) HPHRPs and voice behavior; voice efficacy played a moderating role between perceived insider status and voice behavior; and voice efficacy played a mediating role in the relationship between “HPHRPs-perceived insider status-voice behavior.”. (shrink)

This paper aims to model multilevel interdependencies in complex organisational systems and proposes application for resilience analysis. Most of the existing research studied interdependencies only at the single-level and overlooked their multilevel character. In response to this gap, we propose a multilevel approach to better comprehend the complexity of interdependencies in organisational systems. More specifically, the study focuses on how interdependencies are shaped across multiple organisational levels. To understand the research problem, we use multilevel and social (...) network theories to elaborate the concept at five organisational levels, namely, individual, intraunit, interunit, intraorganisational, and interorganisational. Further, we show the application of multilevel interdependencies into analysis of organisational resilience. To this end, we construct a multiplex model of a real world organisational system that comprises formal and informal relations of different social exchange strength. Using the agent-based simulations of the organisational system, we investigate the relations between organisational interdependencies and organisational performance in normal and disrupted conditions. With the results, we argue that managing multilevel interdependencies is crucial to reduce vulnerability of organisational systems. By introducing the multilevel conceptualisation of interdependencies and presenting their influence on organisational resilience, we hope to pave a path to managing the complexity of interdependencies and strategic resilience enhancement in organisational systems. (shrink)

Drawing on insights from social learning and social cognitive perspectives and research on the multilevel reality of leadership influences, we developed and tested a multilevel model that examines mechanisms and conditions through which ethical leadership deters work unit- and individual-level ostracism. Based on two field studies using multiple measurement points, we found that at the work unit level of analysis, relational climate partially mediates the negative relationship between ethical leadership and work unit-level ostracism whereas state mindfulness partially mediates (...) the cross-level influence of ethical leadership on individual-level ostracism. Contrary to our hypothesis, we found that the relationship between ethical leadership and relational climate was stronger when work units had a more mechanistic structure, and not when it had an organic work unit structure. Finally, we found that relational climate not only moderates the relationship between state mindfulness and individual-level ostracism, but also moderates the indirect influence of ethical leadership on individual-level ostracism through state mindfulness such that the indirect effect is stronger when relational climate is high as opposed to low. These findings highlight the individual- and work unit-level conditions and mechanisms through which ethical leadership relates to decreased ostracism at work, and thus extends theory and research on ethical leadership and ostracism. (shrink)

How does personality influence the relationship between appraisals and emotions? Recent research suggests individual differences in appraisal structures: people may differ in an emotion's appraisal pattern. We explored individual differences in interest's appraisal structure, assessed as the within-person covariance of appraisals with interest. People viewed images of abstract visual art and provided ratings of interest and of interest's appraisals (novelty–complexity and coping potential) for each picture. A multilevel mixture model found two between-person classes that reflected distinct within-person appraisal styles. (...) For people in the larger class (68%), the novelty–complexity appraisal had a stronger effect on interest; for people in the smaller class (32%), the coping potential appraisal had a stronger effect. People in the larger class were significantly higher in appetitive traits related to novelty seeking (e.g., sensation seeking, openness to experience, and trait curiosity), suggesting that the appraisal classes have substantive meaning. We conclude by discussing the value of within-person mixture models for the study of personality and appraisal. (shrink)

In the past 2 decades latent variable modeling has become a standard tool in the social sciences. In the same time period, traditional linear structural equation models have been extended to include non-linear interaction and quadratic effects (e.g., Klein and Moosbrugger, 2000 ), and multilevel modeling (Rabe-Hesketh et al., 2004 ). We present a general non-linear multilevel structural equation mixture model (GNM-SEMM) that combines recent semiparametric non-linear structural equation models (Kelava and Nagengast, 2012 ; Kelava et al., 2014 (...) ) with multilevel structural equation mixture models (Muthén and Asparouhov, 2009 ) for clustered and non-normally distributed data. The proposed approach allows for semiparametric relationships at the within and at the between levels. We present examples from the educational science to illustrate different submodels from the general framework. (shrink)

In this article we argue that the classical—linear and bottom-up directed—models of causation in biology, and the ‘‘proximate/ultimate’’ dichotomy, are inappropriate to capture the complexity inherent to biological processes. We introduce a new notion of ‘‘multilevel causation’’ where old dichotomies such as proximate/ultimate and bottom-up/ top-down are reinterpreted within a multilevel, web-like, approach. In briefly reviewing some recent work on complexity, EvoDevo, carcinogenesis, autocatalysis, comparative genomics, animal regeneration, phenotypic plasticity, and niche construction, we will argue that such reinterpretation (...) is a necessary step for the advancement of the ‘‘Extended Synthesis.’’. (shrink)

SummaryA number of authors have identified multiple concurrent sexual partnerships by both men and women to lie at the root of the HIV/AIDS epidemic in sub-Saharan Africa. This study applies multilevel models to Demographic and Health Survey data collected during 2003–2008 in 20 sub-Saharan African countries to examine the influence of social and cultural context on involvement with multiple sexual partnerships in the region, above and beyond the effects of individual characteristics. The findings provide support for the ecological argument (...) that health behaviours are shaped and determined by societal conditions, in addition to the effects of individual and household characteristics. Involvement with multiple sex partners is most prevalent in societies in which sexual norms are widely permissive and where polygyny is common. Individual autonomy is substantial and attitudes towards sexuality are more liberal among men and women who live in communities in which sexual norms are widely permissive. Men and women who are most likely to have multiple sex partners in the sub-Saharan region are those who initiated sexual activity earlier and those who have the individual attributes that bring to them more rights and/or decision-making autonomy, but not necessarily more financial resources and economic security. On the other hand, involvement with multiple partners is determined by cultural norms and social change. The findings suggest a number of opportunities for more effective policy and programmatic responses to curb the prevalence of multiple partnerships in sub-Saharan Africa. (shrink)

Based on the challenge-hindrance stressor model, this study explored the mechanism of how challenge/hindrance demands affect cognitive wellbeing on a daily basis. Specifically, we examined the mediating effect of work–family enrichment on the relationship between challenge/hindrance demands and cognitive wellbeing. In addition, we tested the moderating effect of overqualification on the relationship between challenge/hindrance demands and work–family enrichment on a daily basis. Finally, we examined the moderated mediation effect of perceived overqualification in a multilevel model. To capture changes in (...) work–family enrichment and cognitive wellbeing that individuals perceived daily, the experience sampling method was adopted to test our theoretical models. A total of 99 participants from China were involved in this investigation. The results showed that daily challenge demands had a significant positive effect on daily cognitive wellbeing, and daily hindrance demands had a significant negative effect on wellbeing. In addition, daily work–family enrichment mediated the positive relationship between daily challenge demands and daily cognitive wellbeing. Moreover, perceived overqualification moderated the relationship between daily challenge demands and daily cognitive wellbeing in the multilevel model. Finally, a significant moderated mediating effect of this overqualification on the indirect effect of daily work–family enrichment on the relationship between daily challenge demands and daily cognitive wellbeing was observed. (shrink)

Conventionally, multilevel analysis of covariance (ML-ANCOVA) has been the recommended approach for analyzing treatment effects in quasi-experimental multilevel designs with treatment application at the cluster-level. In this paper, we introduce the generalized ML-ANCOVA with linear effect functions that identifies average and conditional treatment effects in the presence of treatment-covariate interactions. We show how the generalized ML-ANCOVA model can be estimated with multigroup multilevel structural equation models that offer considerable advantages compared to traditional ML-ANCOVA. The proposed model takes (...) into account measurement error in the covariates, sampling error in contextual covariates, treatment-covariate interactions, and stochastic predictors. We illustrate the implementation of ML-ANCOVA with an example from educational effectiveness research where we estimate average and conditional effects of early transition to secondary schooling on reading comprehension. (shrink)

ABSTRACT Through an interdisciplinary literature review, this propositional paper explores the emergence and unfolding of professionals’ moral identity conflicts involving important but contrasting values. Building on the exemplary case of physicians’ professional-religious dilemmas in End-of-Life circumstances, we develop a multilevel model of professional-personal identity conflict dynamics in ethically-charged situations in which we integrate individual-level mechanisms with organizational-level boundary conditions, namely peer social support and ethical climate, in relation to psychological well-being. Our conceptual model contributes to the ethics, identity and (...) human behavior literature by advancing suggestions of how professionals may prevent or/and resolve moral conflicts concerning also other identities and contexts. (shrink)

Bayesian approaches for estimating multilevel latent variable models can be beneficial in small samples. Prior distributions can be used to overcome small sample problems, for example, when priors that increase the accuracy of estimation are chosen. This article discusses two different but not mutually exclusive approaches for specifying priors. Both approaches aim at stabilizing estimators in such a way that the Mean Squared Error of the estimator of the between-group slope will be small. In the first approach, the MSE (...) is decreased by specifying a slightly informative prior for the group-level variance of the predictor variable, whereas in the second approach, the decrease is achieved directly by using a slightly informative prior for the slope. Mathematical and graphical inspections suggest that both approaches can be effective for reducing the MSE in small samples, thus rendering them attractive in these situations. The article also discusses how these approaches can be implemented in Mplus. (shrink)

Examining the influence of trust in fostering knowledge sharing behavior in virtual teams is of great research value in the current complex, dynamic, and competitive era of a knowledge economy. This study investigated the relationship between trust in coworkers and KSB. Based on social information processing theory and social cognitive theory, we developed a multilevel moderated mediation model where the team members’ psychological safety was considered a mediator, while team virtuality and knowledge sharing self-efficacy acted as team and individual-level (...) moderators, respectively. On surveying 282 individuals in 37 virtual teams of three Chinese internet companies, we found that TC positively affected team members’ KSB and this relationship was fully mediated by team members’ PS. Our findings also demonstrated that the effect of TC on KSB depended on the degree of TV and employees’ KSSE. Specifically, when TV and KSSE were higher, the TC–PS and PS–KSB relationship and the mediating effects of PS in the TC–PS–KSB relationship were all stronger. Our study extends the trust-KSB literature by identifying the psychological mechanism and boundary conditions in the TC-KSB relationship. Moreover, our findings also offer valuable managerial implications for virtual team managers on facilitating team members’ PS and KSB. (shrink)

Multilevel item response theory models are used widely in educational and psychological research. This type of modeling has two or more levels, including an item response theory model as the measurement part and a linear-regression model as the structural part, the aim being to investigate the relation between explanatory variables and latent variables. However, the linear-regression structural model focuses on the relation between explanatory variables and latent variables, which is only from the perspective of the average tendency. When we (...) need to explore the relationship between variables at various locations along the response distribution, quantile regression is more appropriate. To this end, a quantile-regression-type structural model named as the quantile MLIRT model is introduced under the MLIRT framework. The parameters of the proposed model are estimated using the Gibbs sampling algorithm, and comparison with the original MLIRT model is conducted via a simulation study. The results show that the parameters of the Q-MLIRT model could be recovered well under different quantiles. Finally, a subset of data from PISA 2018 is analyzed to illustrate the application of the proposed model. (shrink)

School belonging is of great significance to students' physical and mental health development, especially academic improvement. However, the mechanism of the influence of school belonging on student academic achievement should be further explored, especially reading performance. Based on ecological systems theory and self-determination theory, the present research constructs a multilevel design to examine a moderated mediation model in which school belonging as a level-1 predictor, mastery goal orientation as a level-1 mediator and school disciplinary climate as a level-2 moderator (...) jointly impact reading literacy. Results of the study were based on the questionnaires from 11,364 15-year-olds nested in 332 schools in mainland China that participated in PISA 2018. The cross-sectional analysis indicated that: school belonging had a direct and positive effect on student reading literacy; the relationship between school belonging and reading literacy was prominently mediated by mastery goal orientation; both school disciplinary climate level and strength could negatively moderate the latter half path of “school belonging → mastery goal orientation → reading literacy.” Implications, limitations, and future research directions are discussed. (shrink)

Adopting deep approaches to learning can have a profound impact on learning outcomes. The extent of change in the learning approach could be attributed to the effect of contextual factors. After a substantive review, it was found that research interested in investigating the longitudinal effect of deep approaches to learning on learning outcomes were rarely directly concerned with the longitudinal state and trend of the approach itself. Moreover, the limitations of past analytical methods, has not been appropriately acknowledged. This study (...) examined deep approaches to learning in students from kindergarten to third grade using a multilevel structural equation modeling indicator-specific growth model. This was used to highlight the methodological issues to investigate the effect of context and the states, stability, and changes in deep approaches to learning over this developmental period. The current study comprised of a large-scale sample of 21,490 kindergarteners in kindergarten. Results showed: there was a contextual effect on the longitudinal changes of deep approaches to learning; deep approaches to learning was high but showed considerable individual differences; most indicators relating to deep approaches to learning declined, whereas the trend were relatively stable over time. Corresponding suggestions were proposed at the end of this article. (shrink)

There are two classical and opposite positions about scientific discovery: the one that conceives scientific discovery activity as fully rational and the one that conceives scientific discovery activity as fully irrational. In the first case, machines are regarded as able to perform the scientific discovery process whereas, in the second case, machines are considered unable to perform any part of the scientific discovery process.We adopt a third intermediate approach that envisages a new role for machines, which are conceived as descriptions (...) of the results of scientific discovery activity. More precisely, the purpose of the paper is to illustrate the multilevel structure of a machine, called creative dynamic agency, that represents the articulated and incremental description of the product of scientific discovery process. The multilevel architecture reflects the composition relation that holds among phenomena described by creative agents that compose creative dynamic agency. (shrink)

Collaborative cross-sector business models for sustainability innovation (CCSBMSI) in response to grand challenges are rich foci for tensions. This is the case of CCSBMSI targeting independent living through Information and Communication Technology–enabled care. This research aims at identifying the relevant tensions, understanding their interactions, and assessing how they can be effectively managed so that CCSBMSI become more valuable for partners and transformative for society. A conceptual framework that understands the management of interrelated institutional and interorganizational tensions as a dynamic capability (...) is substantiated through in-depth, qualitative analysis of the long-term dynamics of a four-sector CCSBMSI in telecare—including government, businesses, nonprofits, and informal actors. Its effects on the transition of business models in terms of value creation, delivery, and capture; on relevant stakeholders—particularly nonprofits and beneficiaries; and on the development of the sustainability innovation are discussed. The conceptualization, tension categories, and management capabilities of CCSBMSI are amplified. (shrink)

Biological realism (Revonsuo, 2001, 2006) states that dreaming is a biological phenomenon and therefore explainable in naturalistic terms, similar to the explanation of other biological phenomena. In the biological sciences, the structure of explanations can be described with the help of a framework called 'multilevel explanation'. The multilevel model provides a context that assists to clarify what needs to be explained and how, and how to place different theories into the same model. Here, I will argue that the (...) multilevel framework would be useful when we try to construct scientific explanations of dreaming. (shrink)

Many evolutionary models assume that behaviors are caused directly by genes. An implication is that behavioral uniformity should be found only in groups that are genetically uniform. Yet, the members of human social groups often behave in a uniform fashion, despite the fact that they are genetically diverse. Behavioral uniformity can occur through a variety of psychological mechanisms and social processes, such as imitation, consensus decision making, or the imposition of social norms. We present a series of models in which (...) genes code for social transmission rules, which in turn govern the behaviors that are adopted. Transmission rules can evolve in randomly formed groups that concentrate phenotypic variation at the between-group level, favoring the evolution of altruistic behaviors and other group-advantageous traits. In addition, a direct bias toward adopting altruistic behaviors can evolve. Our models begin to show how group selection can be a strong force in human evolution, despite the absence of extreme genetic variation among groups. (shrink)

This article argues for the explanatory autonomy of psychology drawing on cases from the multilevel modeling practice. This is done by considering a multilevel linear model in personality and social psychology, and discussing its philosophical implications for the reductionism debate in philosophy of psychology. I argue that this practice challenges the reductionist position in philosophy of psychology, and supports the explanatory autonomy of psychology.

The perception of meaningful patterns in random arrangements and unrelated events takes place in our everyday lives, coined apophenia, synchronicity, or the experience of meaningful coincidences. However, we do not know yet what predicts this phenomenon. To investigate this, we re-analyzed a combined data set of two daily diary studies with a total of N = 169 participants (mean age 29.95 years; 54 men). We investigated if positive or negative affect (PA, NA) predicts the number of meaningful coincidences on the (...) following day (or vice versa). By means of a cross-lagged multilevel modelling approach (Bayesian estimation) we evaluated with which of two theoretical assumptions the data are more in line. First, if meaningful coincidences are facilitated by a broader and more flexible thinking style, PA should positively predict meaningful coincidences at the following day. However, if the experience of meaningful coincidences signifies a strategy to cope with negative feeling states, NA should predict the experience of meaningful coincidences during the following day. In favour of a more flexible thinking style, we found that PA predicted the number of perceived coincidences the following day. We did not find any effect for NA, and therefore, no evidence arguing for the coping mechanism hypothesis of meaningful coincidences. (shrink)

The proposed multilevel framework of discourse comprehension includes the surface code, the textbase, the situation model, the genre and rhetorical structure, and the pragmatic communication level. We describe these five levels when comprehension succeeds and also when there are communication misalignments and comprehension breakdowns. A computer tool has been developed, called Coh-Metrix, that scales discourse (oral or print) on dozens of measures associated with the first four discourse levels. The measurement of these levels with an automated tool helps researchers (...) track and better understand multilevel discourse comprehension. Two sets of analyses illustrate the utility of Coh-Metrix in discourse theory and educational practice. First, Coh-Metrix was used to measure the cohesion of the text base and situation model, as well as potential extraneous variables, in a sample of published studies that manipulated text cohesion. This analysis helped us better understand what was precisely manipulated in these studies and the implications for discourse comprehension mechanisms. Second, Coh-Metrix analyses are reported for samples of narrative and science texts in order to advance the argument that traditional text difficulty measures are limited because they fail to accommodate most of the levels of the multilevel discourse comprehension framework. (shrink)

This article has deconstructed the general phenomenon of gentrification in the historic centre of A Coruña in two models. On the one hand, a model based on social class promotion, symbolic capital and economic status in the Cidade Vella. On the other hand, the neighbourhood of Orzán as a transformation process resulting from a phenomenon of commercial gentrification based on two interrelated processes: first, the demand for new places of consumption and entertainment and second, the material devaluation of the neighbourhood. (...) In this regard, this work brings a new dimension to the global debate around commercial gentrification. (shrink)