A study of religion, ministry, and meaning in caregiving among health professionals in an institutional setting in New York City

The clinical staff of a large metropolitan nursing home was surveyed about their religious practices, the degree to which they saw their work as a ministry, and the meaning they obtain from being caregivers. Age, race, gender, education, and various other measures were also taken. As hypothesized, religiosity made a significant positive contribution to participants' belief their work was a ministry to those in need. Multiple regression revealed that African American and older staff scored significantly higher on both dependent variables, whereas Caucasians were significantly less likely to view their work as ministry. Staff who worked with long-term patients derived significantly more meaning from their work, but they were no more likely to see it as ministry. Religiosity appears to enhance the meaning caregivers get from their work, and this may be beneficial to patients. Further research may identify other factors that enhance the meaning caregivers get from their work.     

Utilization of odor cues as a function of reward-magnitude contrast and delay of reinforcement

An experiment manipulating both reward-magnitude contrast and delay of reinforcement is reported. The results indicated that odor cues are produced under conditions of delayed large-reward versus nonreward contrast but not under large- versus small-reward contrast. Additional magnitude and delay manipulations that resulted in the elimination of odor-based double-alternation patterning in the straight runway are presented.     

Statistical analysis of binary relational data: Parameter estimation

Binary interaction data, measuring the presence or absence of a relation between pairs of actors in a “dyadic interaction situation,” are commonly gathered to study the social structure of the group of actors. Recent developments have made the statistical analysis of such data statistically easier and more substantively sophisticated. These developments allow researchers to simultaneously study several sociometric structural properties, such as reciprocity, differential popularity, and equivalence of actors. Building on this research, we review the stochastic models responsible for this breakthrough, and discuss methods for estimating expected values and model parameters. Throughout, we also highlight recent advances designed to incorporate nodal or actor attribute data into the relational data analysis. We conclude with an example illustrating these ideas based on conversational activities among actors in a group of eight people.     

How does coping help people resist lapses during smoking cessation?

OBJECTIVES: To determine whether types of coping strategies have differential effects on preventing lapses and lowering urge levels and to investigate mechanisms by which coping strategies prevent lapses during smoking cessation. DESIGN: Sixty-one respondents performed ecological momentary assessment using palm-top computers and tape recorders to report their coping strategies and urge levels before and after temptations to smoke. Multilevel linear regression models were used to compare the effects of individual strategy types with the average strategy. MAIN OUTCOME MEASURES: Lapses versus resisted temptations and changes in urge levels. RESULTS: Number of strategies significantly predicted resisting smoking and change in urge levels. Compared with the effect of the average strategy, movement/exercise was marginally worse at preventing lapses, and food/drink was marginally related to higher postcoping urge levels. CONCLUSION: Although using multiple coping strategies helps people resist the urge to smoke, no particular coping strategy works better than any other. Coping strategies prevent lapses by reducing high urge levels during temptations.