Intergenerational predictors of diurnal cortisol secretion in early childhood

The present study examined potential intergenerational links that may contribute to atypical patterns of diurnal cortisol secretion in early childhood. Salivary cortisol samples were collected across 1 waking day in 36 pre‐school children whose mothers are participants in an ongoing longitudinal project. Hierarchical Linear Modeling (HLM) identified statistically significant predictors of individual differences in daily cortisol trajectories. Children displayed relatively low post‐awakening values and flatter cortisol trajectories across the day as a function of unsupportive maternal behaviour, second‐hand smoke and maternal histories of social withdrawal in childhood. These results suggest that individual differences in young children's pattern of diurnal cortisol are associated with a variety of current and historical maternal characteristics and behaviours. The identification of intergenerational predictors of children's diurnal neuroendocrine functioning may provide new insights into the transfer of health and developmental risk from parent to child. Copyright © 2007 John Wiley & Sons, Ltd.     

Judeo-conversas and Moriscas in sixteenth-century Spain: a study of parallels

Though interesting research has been done on Jewish women conversas in Spain, as well as on Morisco women converts, no comparison of the activities of the two groups has been made. This paper comes to fill this lacuna, examining their commitment to Judaism and Islam and ritual practices, especially as reflected in Inquisitional records. Despite basic differences, a surprising number of parallels appear in the behavior of both groups, suggesting the importance of women in preserving ties to the past and maintaining the converso mentality.     

Expertise in Deception Detection Involves Actively Prompting Diagnostic Information Rather Than Passive Behavioral Observation

In a proof‐of‐concept study, an expert obtained 100% deception‐detection accuracy over 33 interviews. Tapes of the interactions were shown to N = 136 students who obtained 79.1% accuracy (Mdn = 83.3%, mode = 100%). The findings were replicated in a second experiment with 5 different experts who collectively conducted 89 interviews. The new experts were 97.8% accurate in cheating detection and 95.5% accurate at detecting who cheated. A sample of N = 34 students watched a random sample of 36 expert interviews and obtained 93.6% accuracy. The data suggest that experts can accurately distinguish truths from lies when they are allowed to actively question a potential liar, and nonexperts can obtain high accuracy when viewing expertly questioned senders.