Statistically modelling the relationships between Type D personality and social support, health behaviors and symptom severity in chronic illness groups

OBJECTIVE: The study aimed to develop a predictive model of how Type D personality influences health behaviours, social support and symptom severity and assess its generalisability to a range of chronic illnesses. DESIGN: Participants were classified as either healthy (n = 182) or having a chronic illness (n = 207). Participants completed an online survey measuring Type D and a range of health-related variables. Chronic illness participants were classified as having either a functional somatic syndrome (i.e. chronic fatigue syndrome or fibromyalgia), where the underlying pathological processes were unclear, or illnesses such as type 2 diabetes, osteoarthritis or rheumatoid arthritis, where the causes are well understood. MAIN OUTCOME MEASURES: Outcome measures were health behaviours, social support and both physical and psychological symptoms. RESULTS: The rate of Type D was higher in chronic illness participants (53%) than in healthy controls (39%). Negative affectivity (NA) and social inhibition (SI) both correlated with outcome measures, although NA was generally the stronger predictor. Using NA and SI as independent subscales led to superior prediction of health outcomes than using categorical or continuous representations. CONCLUSION: Findings suggest that the relationship between Type D and health outcomes may generalise across different chronic illnesses

HEXACO personality predicts counterproductive work behavior and organizational citizenship behavior in low-stakes and job applicant contexts

This study examined the degree to which the predictive validity of personality declines in job applicant settings. Participants completed the 200-item HEXACO Personality Inventory-Revised, either as part of confidential research (347 non-applicants) or an actual job application (260 job applicants). Approximately 18-months later, participants completed a confidential survey measuring organizational citizenship behavior (OCB) and counterproductive work behavior (CWB). There was evidence for a small drop in predictive validity among job applicants, however honesty-humility, extraversion, agreeableness, and conscientiousness predicted lower levels of CWB and higher levels of OCB in both job applicants and non -applicants. The study also informs the use of the HEXACO model of personality in selection settings, reporting typical levels of applicant faking and facet-level predictive validity. (C) 2018 Elsevier Inc. All rights reserved

ProjectTemplate and R Workflow 2017

Slides and materials for a presentation at Melbourne R users, July 4th, 2017. There is also a link to the opening example that involved a study of personality and values

Introduction to lavaan: Tutorial and Video (2017)

Links to videos and materials related to a workshop introducing lavaan

Wynton-Anglim Booking Task (The WAB Task)

<p>The Wynton-Anglim Booking Task is a task for studying skill acquisition. Additional information about the task will be made available at a later point.</p><p>The version posted is the same version used in Anglim and Wynton (2015). If you use the task, please cite:</p><ul><li>Anglim, J., & Wynton, S. K. (2015). Hierarchical Bayesian models of subtask learning. <i>Journal of experimental psychology: learning, memory, and cognition</i>, <i>41</i>(4), 957-974. doi:<a href="http://dx.doi.org/10.1037/xlm0000103">10.1037/xlm0000103</a></li></ul> <p>Licence: MIT</p> <p>Designed by: Sarah K. A. Wynton and Jeromy Anglim</p> <p>Programmed by: Simon A. Wynton</p><p><br></p><p><br></p

Incremental Criterion Prediction of Personality Facets over Factors: Obtaining Unbiased Estimates and Confidence Intervals

<p>Note: This manuscript is currently under review, and is provided here for the purposes of scholarly dissemination during the review process and will be removed following manuscript acceptance.</p

Employee engagement and Emotional Exhaustion of Fly-In-Fly-Out Workers: A Diary Study

Objective: Although Fly-in-Fly-Out (FIFO) work practices are widely used, little is known about their impact on the motivation and wellbeing of FIFO workers across the course of their work cycles. Drawing from the Job Demands-Resources model, we aimed to test for the within-person effects of time of work cycle, job demands, and job resources on emotional exhaustion and employee engagement at three day-intervals. Method: Fifty-two FIFO workers filled out three or more on-line diary surveys after every three days of their on-site work roster. The survey consisted of items drawn from previously validated scales. Bayesian hierarchical modeling of the day-level data was conducted. Results: Workers, on average, showed a decline in engagement and supervisor support, and an increase in emotional demand over the course of the work cycle. The results of the hierarchical modeling showed that day-level autonomy predicted day-level engagement and that day-level workload and emotional demands predicted emotional exhaustion. Conclusions: The findings highlight the importance of managing FIFO employees' day-to-day experiences of job demands and job resources because of their influence on employee engagement and emotional exhaustion. To best protect FIFO worker day-level wellbeing, employing organisations should ensure optimal levels of job autonomy, workload, and emotional demands. Practical implications, study limitations and areas for future research are outlined