Building Leadership Effectiveness This program encourages leaders to develop practices that transform values into action, vision into realities, obstacles into innovations, and risks into rewards. Participants will be introduced to the five practices of exemplary leadership: modeling the way, inspiring a shared vision, challenging the process, enabling others to act, and encouraging the heart Coaching & Communicating for Performance Coaching & Communicating for Performance is a highly interactive program that will give supervisors and managers the opportunity to build skills that will enable them to share expectations and set objectives for employees, provide constructive feedback, more effectively engage in learning conversations, and coaching opportunities. Skillful Conflict Management for Leaders As a leader, it is important to understand conflict and be effective at conflict management because the way conflict is resolved becomes an integral component of our university’s culture. This series of conflict management sessions help leaders learn and put into practice effective strategies for managing conflict.

기독교 사역과 Leadership

Emotion and Adaptation

This 1966 paperback edition of a publication which first appeared in 1963 has by now been widely reviewed as a worthy contribution to the sociological study of deviant behavior. Its current appearance as a paperback is a testimonial both to the quality of the work and to the prominence of deviant behavior in this generation. In general the author places deviance in perspective, identifies types of deviant behavior, considers the role of rule makers and enforcers, and some of the problems in studying deviance. In addition, he develops a sequential model of deviance relying on the concept of career, a concept originally developed in studies of occupations. In his study of a particular kind of deviance, the use of marihuana, the author posits and tests systematically an hypothesis about the genesis of marihuana use for pleasure. The hypothesis traces the sequence of changes in individual attitude

Outsiders Studies in the Sociology of Deviance.

Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do not accommodate mediation pathways with Level-2 outcomes and may produce conflated estimates of between- and within-level components of indirect effects. Moreover, these methods have each appeared in isolation, so a unified framework that integrates the existing methods, as well as new multilevel mediation models, is lacking. Here we show that a multilevel structural equation modeling (MSEM) paradigm can overcome these 2 limitations of mediation analysis with MLM. We present an integrative 2-level MSEM mathematical framework that subsumes new and existing multilevel mediation approaches as special cases. We use several applied examples and accompanying software code to illustrate the flexibility of this framework and to show that different substantive conclusions can be drawn using MSEM versus MLM.

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A General Multilevel SEM Framework for Assessing Multilevel Mediation

What We Know and Don't Know About Corporate Social Responsibility: A Review and Research Agenda

Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recent years. However, potential confounding in multilevel mediation effect estimates can arise in these models when within-group effects differ from between-group effects. This study summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models confounding can be produced and erroneous conclusions may be derived when using popularly recommended procedures. A Monte Carlo simulation study illustrates that these procedures can underestimate or overestimate true mediation effects. Recommendations are provided for appropriately testing multilevel mediation and for differentiating within-group versus between-group effects in multilevel settings.

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Testing Multilevel Mediation Using Hierarchical Linear Models Problems and Solutions

Multilevel modeling (MLM) is a popular way of assessing mediation effects with clustered data. Two important limitations of this approach have been identified in prior research and a theoretical rationale has been provided for why multilevel structural equation modeling (MSEM) should be preferred. However, to date, no empirical evidence of MSEM's advantages relative to MLM approaches for multilevel mediation analysis has been provided. Nor has it been demonstrated that MSEM performs adequately for mediation analysis in an absolute sense. This study addresses these gaps and finds that the MSEM method outperforms 2 MLM-based techniques in 2-level models in terms of bias and confidence interval coverage while displaying adequate efficiency, convergence rates, and power under a variety of conditions. Simulation results support prior theoretical work regarding the advantages of MSEM over MLM for mediation in clustered data.

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Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM

A growing number of studies have examined the "sharedness" of leadership processes in teams (i.e., shared leadership, collective leadership, and distributed leadership). We meta-analytically cumulated 42 independent samples of shared leadership and examined its relationship to team effectiveness. Our findings reveal an overall positive relationship (ρ = .34). But perhaps more important, what is actually shared among members appears to matter with regard to team effectiveness. That is, shared traditional forms of leadership (e.g., initiating structure and consideration) show a lower relationship (ρ = .18) than either shared new-genre leadership (e.g., charismatic and transformational leadership; ρ = .34) or cumulative, overall shared leadership (ρ = .35). In addition, shared leadership tends to be more strongly related to team attitudinal outcomes and behavioral processes and emergent team states, compared with team performance. Moreover, the effects of shared leadership are stronger when the work of team members is more complex. Our findings further suggest that the referent used in measuring shared leadership does not influence its relationship with team effectiveness and that compared with vertical leadership, shared leadership shows unique effects in relation to team performance. In total, our study not only cumulates extant research on shared leadership but also provides directions for future research to move forward in the study of plural forms of leadership.

A meta-analysis of shared leadership and team effectiveness

The positive core construct of psychological capital (consisting of efficacy, hope, optimism, and resilience) has been conceptually and empirically demonstrated to be related to employee performance. However, much of this work has relied on cross-sectional designs to examine these relationships. This study utilizes longitudinal data from a large financial service organization (N= 179 financial advisory-type employees) to examine within-individual change in psychological capital over time and if this change relates to their change in performance. Latent growth modeling analyses revealed statistically significant within-individual change in psychological capital over time, and that this change in psychological capital was related to change in 2 types of performance outcomes (supervisor-rated performance and financial performance, i.e., individual sales revenue). Moreover, results of an exploratory cross-lagged panel analysis suggested a causal relationship such that prior psychological capital leads to subsequent performance rather than vice versa. Taken together, these results highlight the impact employees’ psychological capital may have on their subjectively and objectively measured performance over time and offer evidence-based practical guidelines for human resource selection, development, and performance management.

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Zhen Zhang

Papers

A General Multilevel SEM Framework for Assessing Multilevel Mediation

Testing Multilevel Mediation Using Hierarchical Linear Models Problems and Solutions

Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM

A meta-analysis of shared leadership and team effectiveness

Psychological capital and employee performance: a latent growth modeling approach