A longitudinal study exploring the relationships between occupational stressors, non-work stressors, and work performance

There is a lack of intricate research into the relationships between work performance and other variables. This study examined the causal relationship between work, non-work stressors, and work performance. Using longitudinal multi-group data from three groups—university staff, trainee nurses, and part-time employees (overall N=244)—structural equation modelling was employed to explore one-way and reverse competing models. The results produced a good fitting model with one-way causal paths from work-related and non-work stressors (time 1) to job performance (time 2). Nested model comparison analysis provided further evidence to support this best fitting model, emphasizing the strong influence that non-work factors have within the workplace. This study has important implications for theory, methodology and statistical analysis, and practice in the field of work-related stressors and performance.     

Burnout among employees of state residential facilities serving developmentally disabled persons

This research was conducted to determine the prevalence of and variables associated with “burnout” among employees at state residential facilities serving the developmentally disabled. Fourteen heterogeneous facilities from 11 states participated. The sample consisted of 256 top level administrators, 244 direct care professionals, and 224 direct care workers. Subjects from the latter two categories were randomly selected. The results indicated that 15% of the sample were experiencing attitudinal, emotional, and physical exhaustion. Personal variables found to relate significantly to burnout were age, sex, and marital status. Four facility variables showed a significant relationship to burnout: turnover, decision levels, number of directors within the past five years, and fringe benefits. Work related variables showed significant correlations with burnout in 42 of 45 incidences, but none of them were substantial. The findings tend to support the idiosyncratic nature of stress at work which decreases the likelihood of finding a few variables which act as “common causes” of burnout. Results also suggest that the most dedicated, competent, and productive staff members are perhaps the most vulnerable to burnout.     

The Effect of Cognitive Load on Decision Making with Graphically Displayed Uncertainty Information

An experiment examined the ability of five graphical displays to communicate uncertainty information when end users were under cognitive load (i.e., remembering an eight‐digit number). The extent to which people could accurately derive information from the graphs and the adequacy of decisions about optimal behaviors based on the graphs were assessed across eight scenarios in which probabilistic outcomes were described. Results indicated that the load manipulation did not have an overall effect on derivation of information from the graphs (i.e., mean and probability estimation) but did suppress the ability to optimize behavioral choices based on the graph. Cognitive load affected people's use of some graphical displays (basic probability distribution function) more than others. Overall, the research suggests that interpreting basic characteristics of uncertainty data is unharmed under conditions of limited cognitive resources, whereas more deliberative processing is negatively affected.     

Citizenship Status and TANF Exits: A Proportional Hazard Model

ABSTRACT

This study compared exits between citizen and noncitizen heads of household from the Temporary Assistance to Needy Families (TANF) program. With longitudinal monthly administrative data and a Cox proportional hazard model, the study examined how the economy and recipients’ personal characteristics affected their exits. The sample consisted of 28,308 families headed by citizens and 2,547 families headed by a noncitizen on TANF. Key findings reveal that families on TANF exit the rolls primarily during the first 8 months after entrance. Results showed that families headed by a noncitizen remain on TANF longer than families headed by a citizen. The roles of minimum wage and unemployment in shaping the risk of exit for noncitizen compared to citizen families were explored. Suggestions for further research and how to serve recipients best in times of economic downturns are provided. Similar research needs to be conducted in states where temporary TANF time limits do not exist.