Flexible Work Arrangements Availability and their Relationship with Work‐to‐Family Conflict,Job Satisfaction,and Turnover Intentions: A Comparison of Three Country Clusters

The present study explored the availability of flexible work arrangements (FWA) and their relationship with manager outcomes of job satisfaction, turnover intentions, and work‐to‐family conflict (WFC) across country clusters. We used individualism and collectivism to explain differences in FWA availability across Latin American, Anglo, and Asian clusters. Managers from the Anglo cluster were more likely to report working in organisations that offer FWA compared to managers from other clusters. For Anglo managers, flextime was the only FWA that had significant favorable relationships with the outcome variables. For Latin Americans, part‐time work negatively related with turnover intentions and strain‐based WFC. For Asians, flextime was unrelated to time‐based WFC, and telecommuting was positively associated with strain‐based WFC. The clusters did not moderate the compressed work week and outcome relationships. Implications for practitioners adopting FWA practices across cultures are discussed.     

The Struggle to Prevent and Evaluate: Application of Population Attributable Risk and Preventive Fraction to Suicide Prevention Researach

Population attributable risk (PAR) estimates have been used in suicide research to evaluate the impact of psychosocial and socioeconomic risk factors, including affective disorders, traumatic life events, and unemployment. A parallel concept of preventive fraction (PF), allowing for estimation of the impact of protective factors and effectiveness of preventive interventions, is practically unknown in suicidology. The study authors discuss the application of both concepts to suicide research and prevention, and review literature on the subject. Despite several methodological and conceptual limitations, both PAR and PF are valuable instruments to inform development and evaluation of suicide prevention programs.     

Perceptual Categorization: Connectionist Modelling and Decision Rules

Although it is currently popular to model human associative learning using connectionist networks, the mechanism by which their output activations are converted to probabilities of response has received relatively little attention. Several possible models of this decision process are considered here, including a simple ratio rule, a simple difference rule, their exponential versions, and a winner-take-all network. Two categorization experiments that attempt to dissociate these models are reported. Analogues of the experiments were presented to a single-layer, feed-forward, delta-rule network. Only the exponential ratio rule and the winner-take-all architecture, acting on the networks' output activations that corresponded to responses available on test, were capable of fully predicting the mean response results. In addition, unlike the exponential ratio rule, the winner-take-all model has the potential to predict latencies. Further studies will be required to determine whether latencies produced under more stringent conditions conform to the model's predictions.