The Dual-Factor Model of Mental Health: A Short-Term Longitudinal Study of School-Related Outcomes

The Dual-Factor Model of Mental Health, proposed by Greenspoon and Sasklofske (Soc Indic Res 54:81–108, 2001), suggested that student mental health should be assessed on a dimension of psychopathology as well as a dimension of subjective well-being (SWB). Greenspoon and Sasklofske (Soc Indic Res 54:81–108, 2001) argued that measuring both psychopathology and SWB allow mental health professionals to have a more complete understanding of the child’s psychological health. The present exploratory study provided a further evaluation of the usefulness of the Dual-Factor model in understanding adolescents’ SWB using both person-centered and variable-centered analyses. Using person-centered analyses, we explored whether group membership revealed differential changes in middle school students’ GPAs as well as emotional, cognitive, and behavioral engagement across a 5-month time period. Furthermore, we used variable-centered analyses to examine whether middle school students’ levels of SWB at Time 1 predicted changes in our criterion variables. Specifically, we assessed whether SWB at Time 1 predicted student school engagement and GPA at Time 2 above and beyond their levels of internalizing and externalizing behaviors at Time 1, levels of student engagement and grades at Time 1, and demographic variables. Results of the person-centered analyses found statistically significant differences across the four groups identified in the Dual-Factor Model for emotional, cognitive and behavioral engagement as well as GPA. The results from the variable-centered analyses suggest subjective well-being to be a significant predictor of emotional, cognitive and behavioral engagement beyond measures of psychopathology. These results provide additional support for use of the Dual-Factor Model.     

Predicting social influence with faction sizes and relative status

Building on a recent theoretical development in the field of sociological social psychology, we develop a formal mathematical model of social influence processes. The extant theoretical literature implies that factions and status should have non-linear effects on social influence, and yet these theories have been evaluated using standard linear statistical models. Our formal model of influence includes these non-linearities, as specified by the theories. We evaluate the fit of the formal model using experimental data. Our results indicate that a one-parameter mathematical model fits the experimental data. We conclude with the implications of our research and a discussion of how it may be used as an impetus for further work on social influence processes.     

Archival research on integrated reporting: a systematic review of main drivers and the impact of integrated reporting on firm value

Journal of Management and Governance - Integrated reporting (IR) represents an innovative approach to business reporting especially by Public Interest Entities (PIEs). In addition to financial...     

Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes

ABSTRACT

This work presents advanced computational aspects of a new method for changepoint detection on spatio-temporal point process data. We summarize the methodology, based on building a Bayesian hierarchical model for the data and declaring prior conjectures on the number and positions of the changepoints, and show how to take decisions regarding the acceptance of potential changepoints. The focus of this work is about choosing an approach that detects the correct changepoint and delivers smooth reliable estimates in a feasible computational time; we propose Bayesian P-splines as a suitable tool for managing spatial variation, both under a computational and a model fitting performance perspective. The main computational challenges are outlined and a solution involving parallel computing in R is proposed and tested on a simulation study. An application is also presented on a data set of seismic events in Italy over the last 20 years.     

On kernel machine learning for propensity score estimation under complex confounding structures

Post marketing data offer rich information and cost-effective resources for physicians and policy-makers to address some critical scientific questions in clinical practice. However, the complex confounding structures (e.g., nonlinear and nonadditive interactions) embedded in these observational data often pose major analytical challenges for proper analysis to draw valid conclusions. Furthermore, often made available as electronic health records (EHRs), these data are usually massive with hundreds of thousands observational records, which introduce additional computational challenges. In this paper, for comparative effectiveness analysis, we propose a statistically robust yet computationally efficient propensity score (PS) approach to adjust for the complex confounding structures. Specifically, we propose a kernel-based machine learning method for flexibly and robustly PS modeling to obtain valid PS estimation from observational data with complex confounding structures. The estimated propensity score is then used in the second stage analysis to obtain the consistent average treatment effect estimate. An empirical variance estimator based on the bootstrap is adopted. A split-and-merge algorithm is further developed to reduce the computational workload of the proposed method for big data, and to obtain a valid variance estimator of the average treatment effect estimate as a by-product. As shown by extensive numerical studies and an application to postoperative pain EHR data comparative effectiveness analysis, the proposed approach consistently outperforms other competing methods, demonstrating its practical utility.     

Sins of the parents: Self-control as a buffer between supervisors' previous experience of family undermining and subordinates' perceptions of abusive supervision

Drawing upon social learning theory, the intergenerational transmission of violence hypothesis, and research on self-control, we develop a model of the relationships among previous experiences of family undermining, self-control, and abusive supervision. We tested the model with data obtained from supervisor–employee matched pairs in Study 1 and matched triads in Study 2. Results revealed that: 1) supervisors who experienced higher levels of family undermining (whether reported by the immediate supervisor or a sibling) during childhood are more likely to engage in abusive supervisory behaviors as adults; and 2) this relationship is moderated such that it is stronger for supervisors with low self-control. Overall, our results highlight the role of self-control in mitigating the impact of supervisors' previous experiences of family undermining on subordinate perceptions of abusive supervision, even after controlling for previously established antecedents.     

Neighborhood distress and school dropout: the variable significance of community context

Although a substantial body of recent research has examined the impact of neighborhood socioeconomic distress on youth socioeconomic attainment and urban social dislocations, few studies have determined under what conditions, and for what types of adolescents, neighborhood characteristics matter most. Drawing on theories of collective socialization, social capital, and social control, we develop hypotheses regarding the conditional nature of neighborhood effects on the risk of dropping out of high school, and we then test these hypotheses by estimating event history models based on data from the 1968–1993 waves of the Panel Study of Income Dynamics. We find that, among African Americans, the detrimental impact of neighborhood socioeconomic distress on school dropout has increased significantly over the past quarter-century, a probable repercussion of the increasing geographic concentration of urban poverty. The negative effect of neighborhood distress on high school completion is particularly pronounced among black adolescents from single-parent households and among white adolescents from low-income families, results broadly consistent with Wilson’s claim that exposure to neighborhood poverty reinforces the damaging consequences of individual disadvantage. Supporting the social capital perspective, among both black and white adolescents the deleterious impact of neighborhood distress on school dropout is stronger for recent in-movers than for long-term residents. The impact of neighborhood disadvantage also varies significantly by gender for both racial groups and, among whites, is stronger for younger than older adolescents. We conclude with a discussion of the implications of these findings for theories of neighborhood effects.     

Measuring the Effectiveness of the Emotionally Focused Therapy Externship Training in Hungary done through Translation

Our study adds to the rising field of dissemination and implementation research on Emotionally Focused Therapy. We evaluated the psychometric characteristics of the Hungarian EFT‐KACS, examined the impact of the EFT Externship training done through translation on Hungarian therapists, and we investigated how therapist background characteristics related to outcomes. A total of 340 Hungarian professionals completed the questionnaires (N = 152 in 2016; and N = 188 in 2018) at three data collecting points—prior to (N = 329), after the training (N = 254), and 6 months later (N = 101). Results suggest the Hungarian EFT‐KACS has similar psychometric properties as the original English version and shows high internal consistency. The 4‐day EFT Externship trainings done through translation provided significant, lasting increases in perceived EFT‐specific knowledge and competency, and in alliance, similar to findings in English‐ and Spanish‐speaking countries. Externship outcomes were also found to be related to specific therapist experience and background characteristics.     

Eliciting Stance and Mitigating Therapist Authority in Open Dialogue Meetings

Open Dialogue is a collaborative systemic approach to working with families in crisis. A core feature is the creation of dialogue through the elicitation of a multiplicity of voices. Using conversation analysis, we studied 14 hr of Open Dialogue sessions. We found that therapists recurrently produced utterances containing “I’m wondering.” These utterances topicalized particular issues and invited stance positions from other participants while also allowing the therapist to mitigate their deontic authority and present potentially disaligning stances. Therapists thus exercised authority in eliciting stances, but provided recipients with multiple avenues for responding. These findings illustrate that therapist authority is not necessarily antithetical to dialogue and, in well‐crafted forms, may even be necessary for the creation of polyphony through the elicitation of multiple stances.