Religion and pseudo-religion: an elusive boundary

This paper examines the possibility of setting a boundary between religion and “pseudo-religion” (or superstition). Philosophers of religion inspired by Ludwig Wittgenstein’s ideas, in particular, insist that religious language-use can be neither legitimated nor criticized from the perspective of non-religious language-games. Thus, for example, the “theodicist” requirement that the existence of evil should be theoretically reconciled with theism can be argued to be pseudo-religious (superstitious). Another example discussed in the paper is the relation between religion and morality. The paper concludes by reflecting on the issue of relativism arising from the Wittgensteinian contention that the religion vs. pseudo-religion division can only be drawn within a religious framework, and on Wittgenstein’s own suggestion that the religious person “uses a picture”.     

Identification of interindividual and intraindividual movement patterns in handball players of varying expertise levels

The authors examined the movement patterns of 5 left-handed handball players (ranging from beginner to national level) who threw a handball to different sections of a goal as if a goalkeeper were present. The authors used time-continuous, 3-dimensional kinematic data to assess interindividual movement patterns and considered participants' intraindividual differences relative to different targets. Cluster analysis yielded the highest assignment rates for level of expertise; a mean of 92% of trials was correctly assessed. The authors observed an interaction with expertise for the intraindividual movement patterns. Variability in the novice throwers was increased, whereas (a) advanced throwers experienced a period of stability, and (b) the expert thrower's variability was increased. The results indicate that random variability characterizes novice motor performance, whereas active functional variability may exemplify expert motor performance.     

Gender Differences in Five Factor Model Personality Traits in an Elderly Cohort: Extension of Robust and Surprising Findings to an Older Generation

In college and adult samples, women score higher then men on the Five Factor Model (FFM) personality traits of Neuroticism and Agreeableness. The present study assessed the extent to which these gender differences held in a sample of 486 older adults, ranging in age from 65-98 (M = 75, SD = 6.5), using the NEO-Five Factor Inventory. Mean and Covariance Structure models testing gender differences at the level of latent traits revealed higher levels of Neuroticism (d = .52) and Agreeableness (d = .35) in older women than older men. The consistency of these findings with prior work in younger samples attests to the stability of gender differentiation on Neuroticism and Agreeableness across the lifespan. Gender differences on these traits should be considered in personality research among older, as well as middle age and younger adults.     

Utilization of covariation knowledge in source monitoring: no evidence for implicit processes

In three experiments, a "hidden covariation" (Lewicki, in Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 135-146, 1986) of nonsalient stimulus attributes and the source of stimulus information was established to test whether implicit knowledge about this correlation influences source memory judgments. The source monitoring framework (Johnson, Hashtroudi, and Lindsay, in Psychological Bulletin, 114, 3-28, 1993) postulates heuristic and strategic judgment processes in source attributions. A multinomial model analysis disentangled memory and guessing processes. While there were large strategic guessing biases involving explicit knowledge in all experiments, there was no evidence for the use of implicit covariation knowledge. Only participants who were later able to verbalize the covariation had shown corresponding biases during the source memory test, suggesting that implicit covariation knowledge plays no prominent role in the reconstruction processes in source monitoring.