Spurious inference in consensus emergence modeling due to the distinguishability problem.

Researchers use consensus emergence models (CEMs) to detect when the scores of group members become similar over time. The purpose of this article is to review how CEMs often lead to spurious conclusions of consensus emergence due to the problem of distinguishability, or the notion that different data-generating mechanisms sometimes give rise to similar observed data. As a result, CEMs often cannot distinguish between observations generated from true consensus processes versus those generated by stochastic fluctuations.

A tutorial on Bollen and Brand's approach to modeling dynamics while attending to dynamic panel bias.

Recent studies demonstrate that when researchers are interested in dynamics they are better off using a statistical model described in Bollen and Brand (2010) rather than the often employed random-coefficient or multi-level model (Moral-Benito et al., 2019; Xu et al., 2020).

Predicting Turnover: The Moderating Effect of Functional Climates on Emotional Exhaustion and Work Attitudes.

High levels of emotional exhaustion are frequently reported among clinicians working in community mental health settings. This study draws on social exchange theory and examines the relationships between emotional exhaustion and mental health provider work attitudes and turnover, and the moderating effect of functional psychological climates. Data were analyzed using multilevel structural equation modeling in a sample of 311 mental health providers from 49 community mental health programs.

Organizational Stress as Moderator of Relationship Between Mental Health Provider Adaptability and Organizational Commitment.

Objective: Community mental health providers often operate within stressful work environments and are at high risk of emotional exhaustion, which can negatively affect job performance and client satisfaction with services. This cross-sectional study examined the relationships between organizational stress, provider adaptability, and organizational commitment.

Methods: Variables were analyzed with moderated multilevel regression in a sample of 311 mental health providers from 49 community mental health programs.