Pittman Mayer (treenickel1)

AIM To determine the effects of nurses' trust in first-line nurse managers on their organizational commitment. BACKGROUND Trust in managers is known to have important effects on employees' organizational commitment. METHODS A descriptive, cross-sectional and correlational research design used in this study. The sample was selected using proportional quota sampling which consisted of 723 nurses working in four hospitals in Istanbul (n = 723). The data collection tools were a nurse information questionnaire, the Trust in Manager Scale and the Organizational Commitment Scale. The data were analysed using descriptive tests, correlation and regression analysis (backward elimination). RESULTS The three regression models which were developed in this study were significant. In these models, the affective commitment subscale had the highest explanatory rate (29.5%). The variables such as being over 40 years old, being employed in a public institution and working on a permanent day shift and the subscales of the trust in manager scale such as support for subordinates and providing a positive work environment were predictors that affected the nurses' organizational commitment scores positively. CONCLUSION The study results show that trust in nurse managers is a determinant of nurse's organizational commitment. IMPLICATIONS FOR NURSING AND HEALTH POLICY First-line nurse managers can increase nurses' organizational commitments by building their trust with positive and encouraging behaviours. Top managers should point out the role of trust in first-line nurse managers and indicate the components of trust that lead to positive organizational outcomes. © 2020 International Council of Nurses.Parental involvement in intervention can support intervention efficacy, improve generalization, and increase accessibility. The Preschool Life Skills (PLS) program is designed to teach 13 preschool life skills and prevent problem behavior. The current study explores the utility of the PLS program as delivered by parents. In Experiment 1, 6 parents were taught to use the PLS program at home with their typically developing children (3 years 3 months to 4 years 11 months). This application of the PLS program led to an increase in preschool life skills and a decrease in problem behavior and supported some generalization of the target preschool life skills from the home to preschool settings. In Experiment 2, 7 parents were taught to use the PLS program with their children with autism spectrum disorder (ASD; 3 years 11 months to 6 years 9 months). see more Results overall supported the parent implementation of the program and highlighted modifications required to support positive outcomes for children with ASD. © 2020 Society for the Experimental Analysis of Behavior.Current methods employed to interpret functional analysis data include visual analysis and post-hoc visual inspection (PHVI). However, these methods may be biased by dataset complexity, hand calculations, and rater experience. We examined whether an automated approach using nonparametric rank-based statistics could increase the accuracy and efficiency of functional analysis data interpretation. We applied Automated Nonparametric Statistical Analysis (ANSA) to a sample of 65 published functional analyses for which additional experimental evidence was available to verify behavior function. Results showed that exact behavior function agreement between ANSA and the publications authors was 83.1%, exact agreement between ANSA and PHVI was 75.4%, and exact agreement across all 3 methods was 64.6%. These preliminary findings suggest that ANSA has the potential to support the data interpretation process. A web application that incorporates the calculations and rules utilized by ANSA is accessible at https//ansa.shinyapps.io/ansa/. © 2020 Society for the Experimental Analysis of Behavior.Using biased-coin sequential allocation, we sought to determine the effective time interval in 90% of