Argentine validation of the Purpose in Life Test / Validación argentina del Test de Propósito en la Vida

Despite the fact that the Purpose in Life Test developed by James Crumbaugh and Leonard Maholick in the 1960s is considered to be one of the most commonly used measures in positive psychology, there are no validations of it into the Argentine context. This paper aims to assess the psychometric properties of PIL in a sample of 336 university students residing in Buenos Aires. The results suggest that PIL has adequate psychometric properties for the Argentine context. The confirmatory factor analysis presents a good fit of the data as proposed by the authors. These results favour the assessment of psychological well-being in this local context. Future studies should use different samples in order to provide more robust support to the construct.     

Looking for Arguments

How do people find arguments while engaged in a discussion? Following an analogy with visual search, a mechanism that performs this task is described. It is a metarepresentational device that examines representations in a mostly serial manner until it finds a good enough argument supporting one??s position. It is argued that the mechanism described in dual process theories as ??system 2??, or analytic reasoning fulfills these requirements. This provides support for the hypothesis that reasoning serves an argumentative function.     

Algorithmic modeling of the irrelevant sound effect (ISE) by the hearing sensation fluctuation strength

Background sounds, such as narration, music with prominent staccato passages, and office noise impair verbal short-term memory even when these sounds are irrelevant. This irrelevant sound effect (ISE) is evoked by so-called changing-state sounds that are characterized by a distinct temporal structure with varying successive auditory-perceptive tokens. However, because of the absence of an appropriate psychoacoustically based instrumental measure, the disturbing impact of a given speech or nonspeech sound could not be predicted until now, but necessitated behavioral testing. Our database for parametric modeling of the ISE included approximately 40 background sounds (e.g., speech, music, tone sequences, office noise, traffic noise) and corresponding performance data that was collected from 70 behavioral measurements of verbal short-term memory. The hearing sensation fluctuation strength was chosen to model the ISE and describes the percept of fluctuations when listening to slowly modulated sounds (f(mod) < 20?Hz). On the basis of the fluctuation strength of background sounds, the algorithm estimated behavioral performance data in 63 of 70 cases within the interquartile ranges. In particular, all real-world sounds were modeled adequately, whereas the algorithm overestimated the (non-)disturbance impact of synthetic steady-state sounds that were constituted by a repeated vowel or tone. Implications of the algorithm's strengths and prediction errors are discussed.