Individual differences as antecedents of leader behavior: Towards an understanding of multi-level outcomes

The leadership research on individual differences is going through a period of revival. However, due to the substantial number of variables in this area and the different knowledge bases they are associated with (e.g., psychology, endocrinology, genetics), the literature is also becoming highly fragmented as it grows. This fragmentation is preventing different literature streams from effectively communicating with each other and synthesizing the rapidly expanding body of knowledge. Consequently, the continued growth of the individual differences literature is at risk. Therefore, we believe that classifying the relevant literature streams and reviewing the key variables in those streams will be beneficial. We do so by organizing this review and research agenda of the leadership literature on individual differences around the recent model developed by Antonakis, Day, and Schyns (2012). In doing so, we hope to unify some of the future research efforts around a recent and recognized conceptual model, and in turn facilitate communication between these different streams of literature. Moreover, insights from this literature also allow us to propose additions and refinements to the model of Antonakis, Day, and Schyns (2012) that may help scholars by indicating other fruitful areas for future research on individual differences.     

Professionals' perceptions of the rocky routes to successful outcomes for young people in a children's residential school

Poor outcomes for young people in and leaving care have been well documented and research has indicated that the expectations of professionals working with children and young people looked after is a significant influence, particularly in relation to education. An evaluation of an independent children's residential school in Scotland provided a rare opportunity to analyse and compare the views of different kinds of staff about desirable outcomes and how successful outcomes could be achieved. Care workers, teachers and specialist support staff shared some views, but also held contrasting expectations, which appeared to be linked to differing emphases in their models for working with young people. This paper offers tentative explanations for such differences and concludes with suggestions on how to help align service staffs' expectations of young people leaving their care.     

Performance of risk-adjusted cumulative sum charts when some assumptions are not met

Monitoring health care performance outcomes such as post-operative mortality rates has recently become more common, spurring new statistical methodologies designed for this purpose. One such methodology is the Risk-adjusted Cumulative Sum chart (RA-CUSUM) for monitoring binary outcomes such as mortality after cardiac surgery. When building RA-CUSUMs, independence and model correctness are assumed. We carry out a simulation study to examine the effect of violating these two assumptions on the chart's performance.     

Parent–Child Relationships in Stepfather Families and Adolescent Adjustment: A Latent Class Analysis

In the current study the authors drew on Waves I and III from Add Health to examine the closeness of parent–adolescent relationships in married mother–stepfather families (N = 1,934). They used latent class analysis to identify family constellations defined by adolescents' relationships with all of their parents: mothers, stepfathers, and biological nonresident fathers. In particular, the authors (a) identified the most common underlying patterns of adolescent–parent relationships in stepfamilies; (b) determined the background characteristics that predict membership in these groups; and (c) examined how adolescents in these groups fare with respect to depressive symptoms, delinquency, and substance use. The results indicate that adolescents' relationships can be represented with 4 latent classes. Adolescents in these classes differ on measures of adjustment, and many of these differences persist into the early adult years.     

A meta-analysis of humble leadership: Reviewing individual,team, and organizational outcomes of leader humility

Humility is a concept grounded in a self-view that something greater than oneself exists. A multitude of disciplines to date have sought to understand how humility impacts leaders, as well as the individuals, teams, and organizations they lead. Despite overlapping research questions, methodologies, and empirical contexts, studies examining leader humility have developed largely in isolation with little overlap between fields. This has created a fundamental divide between micro and macro researchers who suggest that humility is conceptualized as both a mutable behavioral state and a stable leader trait, respectively. We provide a systematic review of research on leader humility at multiple organizational levels of analysis to provide linkages across disciplinary and theoretical divides. We couple our systematic review with a meta-analysis of 212 unique studies, identifying 99 estimates for the relationships between leader humility and numerous individual, team, and organizational variables. Among all variables, we find humble leadership most strongly predicts followers’ satisfaction with the leader and the leaders’ participative decision making. We also find humble leadership does not affect their own job performance or the performance of organizations, but improves the performance of their followers and teams. Building on our results, we call for research across academic disciplines.     

Which therapist perceptions best predict client outcomes? A naturalistic examination

Examining associations between therapists' perceptions of therapy sessions and client-reported outcomes in naturalistic settings (real-life therapy settings) can provide valuable guidance for the assessment, treatment, and monitoring of clients. This study included data of 1334 sessions from 127 clients (86 individual and 41 couple cases) and 15 therapists, collected at a therapy training center. Clients reported their personal functioning and individual symptoms before each session. Therapists rated clients' participation, receptivity, session progress, goal progress, and therapeutic alliance at the end of each therapy session. Multilevel Structural Equation Modeling analyses revealed that therapist-rated client participation and goal progress predicted better personal functioning, beyond clients' previous personal functioning scores. In contrast, none of therapist-rated session variables predicted clients' individual symptoms, beyond previous symptom scores. Power analyses suggested sufficient statistical power to detect small effect sizes. Findings of the current study have clinical implications for treatment planning and progress monitoring.     

律师代理的信息经济学分析

司法实践中,律师违背职业操守、损害委托人利益的行为内生于委托代理制度本身。根源在于律师与当事人之间信息的不对称性和双方潜在的利益冲突。有效的报酬激励制度、充分的市场竞争以及风险抵押金制度将有助于从根源上消减这一不和谐的因素。     

On estimands and the analysis of adverse events in the presence of varying follow‐up times within the benefit assessment of therapies

The analysis of adverse events (AEs) is a key component in the assessment of a drug's safety profile. Inappropriate analysis methods may result in misleading conclusions about a therapy's safety and consequently its benefit‐risk ratio. The statistical analysis of AEs is complicated by the fact that the follow‐up times can vary between the patients included in a clinical trial. This paper takes as its focus the analysis of AE data in the presence of varying follow‐up times within the benefit assessment of therapeutic interventions. Instead of approaching this issue directly and solely from an analysis point of view, we first discuss what should be estimated in the context of safety data, leading to the concept of estimands. Although the current discussion on estimands is mainly related to efficacy evaluation, the concept is applicable to safety endpoints as well. Within the framework of estimands, we present statistical methods for analysing AEs with the focus being on the time to the occurrence of the first AE of a specific type. We give recommendations which estimators should be used for the estimands described. Furthermore, we state practical implications of the analysis of AEs in clinical trials and give an overview of examples across different indications. We also provide a review of current practices of health technology assessment (HTA) agencies with respect to the evaluation of safety data. Finally, we describe problems with meta‐analyses of AE data and sketch possible solutions.     

Courts,care proceedings and outcomes uncertainty: The challenges of achieving and assessing “good outcomes” for children after child protection proceedings

The professed aim of any social welfare or legal intervention in family life is often to bring about “better outcomes for the children.” But there is considerable ambiguity about “outcomes,” and the term is far too often used in far too simplistic a way. This paper draws on empirical research into the outcomes of care proceedings for a randomly selected sample of 616 children in England and Wales, about half starting proceedings in 2009–2010 and the others in 2014–2015. The paper considers the challenges of achieving and assessing “good outcomes” for the children. Outcomes are complex and fluid for all children, whatever the court order. One has to assess the progress of the children in the light of their individual needs and in the context of “normal” child development, and in terms of the legal provisions and policy expectations. A core paradox is that some of the most uncertain outcomes are for children who remain with or return to their parents; yet law and policy require that first consideration is given to this option. Greater transparency about the uncertainty of outcomes is a necessary step towards better understanding the risks and potential benefits of care proceedings.