The effects of age,enactment, and cue-action relatedness on memory for intentions in the Virtual Week task

ABSTRACT

The current study investigated the influence of encoding modality and cue-action relatedness on prospective memory (PM) performance in young and older adults using a modified version of the Virtual Week task. Participants encoded regular and irregular intentions either verbally or by physically performing the action during encoding. For half of the intentions there was a close semantic relation between the retrieval cue and the intended action, while for the remaining intentions the cue and action were semantically unrelated. For irregular tasks, both age groups showed superior PM for related intentions compared to unrelated intentions in both encoding conditions. While older adults retrieved fewer irregular intentions than young adults after verbal encoding, there was no age difference following enactment. Possible mechanisms of enactment and relatedness effects are discussed in the context of current theories of event-based PM.     

Using Narrative Approaches to Teach Multicultural Counseling

Narrative approaches to teaching multicultural counseling can assist students in integrating course content with a sense of self. Narrative teaching strategies follow a postmodern view of learning—that is, that truth is constructed through the interaction of participants. Justification for narrative approaches to teaching multicultural counseling and narrative are introduced. Los enfoques narrativos para enseñar la consejería multicultural pueden ayudar a los estudiantes a integrar el contenido del curso con su sentido de ser. Las estrategias de la enseñanza narrativa siguen un panorama postmoderno de aprendizaje—que considera que la verdad se construye por la interacción de participantes. La justificación para enfoques narrativos para enseñar la consejería multicultural y la narrativa se introducen.     

Childbearing depressive symptomatology in high–risk pregnancies: The roles of working models and social support

Guided by both attachment and social support theories, the authors conducted a longitudinal investigation exploring the concomitant effects of perceptions of spouse support (anticipated and received spouse support) and internal working models of attachment (positive–self and positive–other), on childbearing depressive symptomatology. Distinct main and interaction effects for attachment dimensions and perceived support variables were hypothesized for high– and low–risk pregnancies. Participants in the final sample were 200 pregnant women who completed the self–report between the 25th and the 29th weeks of pregnancy, and 8 weeks after childbirth. Controlling for initial levels of depressive symptoms and health conditions, results demonstrated the protective role of high levels of received support and of positive–other models on childbirth depressive symptoms. Moreover, received support and models of positive–other were found to interact with health conditions, producing distinct moderation effects: Received support was found to be a significantly stronger protective factor for childbearing depression among women with low–risk pregnancies; positive–other models were found to be a significantly stronger protective factor among women with high–risk pregnancies. The implications of these findings for the understanding of intrapersonal and interpersonal factors in successful coping with a health risk situation are discussed.     

Reaction times in the study of strategies in sentence-picture verification: A reconsideration

Investigations of cognitive strategies based on chronometric data may appear to contradict findings from verbal-report-based approaches. These inconsistencies may be due to misuse of RTs to infer subjects' behaviour. To test this hypothesis, 15 subjects were successively required to adopt 4 different strategies in a sentence-picture verification task. Trend analyses provide evidence that (1) highly dissimilar strategies can nevertheless yield similar mean RT curves as well as similar individual subjects' RT curves; (2) subjects using similar strategies can produce individual RT curves presenting vastly different features due partly to random variation and partly to idiosyncrasies. These findings suggest that RTs are an unreliable behavioural indicator for inferring individual or group strategies on certain experimental tasks and should be analysed in conjunction with other sources of information. An approach consisting of using RTs to test hypotheses based on subjects' verbal reports is described along with the appropriate controls. Results show that this approach provides an improved account for observed RTs.     

Is schooling of migrants’ children more like that of their parents, their cousins, or their neighbours?

A natural way to look for signs of assimilation in migrants children is to compare their educational attainment to that of natives of the same age cohort (neighbours). However, background counts in these matters, so we look at the educational attainment of the previous generation (parents) as well as their social status. Using data for Portuguese in both France and Portugal together with data on the French, we show that the educational attainment of the second generation in France is much closer to that of the French than to that of those who stayed in Portugal (cousins). In this sense we can speak of assimilation.     

Development of the Parent Emotion Regulation Scale (PERS): Factor Structure and Psychometric Qualities

This study aims to develop a self-report measure based on a multidimensional conceptualization of the regulation of negative emotions in the context of parenting. We examined the factor structure, factorial invariance, internal consistency and construct validity of the newly developed measure, the Parent Emotion Regulation Scale (PERS). The sample was composed of 254 mothers of children aged 3 to 15 years old (M?=?8.54, SD?=?3.53) who participated in an online study. Exploratory factor analysis of the PERS yielded a four-factor structure with the following factors: parents’ orientation to the child’s emotions, parents’ avoidance of the child’s emotions, parents’ lack of emotional control and parents’ acceptance of the child’s and their own emotions. Confirmatory factorial analysis supported the four-factor model, showing an adequate fit for this structure. Additionally, the model displayed configural, metric, scalar and residual invariance across the children’s sex groups. Cronbach’s alpha values and mean inter-item correlations indicated an adequate internal consistency. Correlations between the PERS scale and the Coping with Children’s Negative Emotions Scale (CCNES) indicated that the different dimensions of parents’ emotion regulation were significantly associated with both positive and negative reactions to the children’s negative emotions. Furthermore, the emotion regulation dimensions showed incremental validity in the prediction of the child’s adjustment. This study provides preliminary support for the adequacy of this newly developed measure, although further studies are needed to establish its psychometric qualities in more diverse populations.     

Epistemology and artificial intelligence

In this essay we advance the view that analytical epistemology and artificial intelligence are complementary disciplines. Both fields study epistemic relations, but whereas artificial intelligence approaches this subject from the perspective of understanding formal and computational properties of frameworks purporting to model some epistemic relation or other, traditional epistemology approaches the subject from the perspective of understanding the properties of epistemic relations in terms of their conceptual properties. We argue that these two practices should not be conducted in isolation. We illustrate this point by discussing how to represent a class of inference forms found in standard inferential statistics. This class of inference forms is interesting because its members share two properties that are common to epistemic relations, namely defeasibility and paraconsistency. Our modeling of standard inferential statistical arguments exploits results from both logical artificial intelligence and analytical epistemology. We remark how our approach to this modeling problem may be generalized to an interdisciplinary approach to the study of epistemic relations.