Shared Communities: A Multinational Qualitative Study of Immigrant and Receiving Community Members

Community psychology is central to understanding how immigrants and more established residents of their new settings join together to develop a shared sense of community and membership. In our present study, we explored how newer (i.e., first‐ and second‐generation immigrants) and more established community members form multiple positive psychological sense of community (PSOC) with one another. We conducted a multinational, qualitative study of PSOC through interviews with 201 first‐ and second‐generation immigrants and third generation or more “receiving community members” in three contexts (Baltimore‐Washington corridor of the U.S.; Torino, Italy; Lecce, Italy). Results indicated numerous similarities among the ways in which participants constructed PSOC in shared and nonshared communities, regardless of immigration/citizenship status, length of community residence, city, country, age, or gender. Small, proximal, and salient communities were often particularly important to building positive PSOC, which was formed around diverse membership boundaries. As intersectional beings, members converged and diverged on many characteristics, providing multiple opportunities for members to bring diversity to their communities while sharing other characteristics deemed essential to membership. Nonetheless, findings point to significant, structural challenges rooted in power and privilege that must be confronted to bridge the community‐diversity dialectic and build strong, shared sense of community.     

The Association Between Psychological Well-Being and Problematic Use of Internet Communicative Services Among Young People

Previous studies on problematic Internet use have focused almost exclusively on the fact that presence of negative functioning, such as social anxiety, depressive symptoms, or loneliness, represents a risk factor for unhealthy use of the web. For this reason the aim of the present study was to investigate the association between psychological well-being dimensions and problematic use of Internet communicative services. In the current study 495 undergraduate students were recruited. The Italian adaptations of the Psychological Well-being Scales and the Generalized Problematic Internet Use Scale 2 (GPIUS2) were used to assess psychological well-being dimensions and generalized problematic Internet use, respectively. Psychological well-being dimensions explained a significant portion of variance for the GPIUS2 total score levels, after controlling for sex, age, and occupational status. The levels of Autonomy, Environmental Mastery, and Positive Relations with Others acted as significant negative predictors of the tendency to use the web for regulating negative feelings, compulsive use of the web, and the negative outcomes that can arise as a result. The overall findings of the present study provide preliminary evidence that low psychological well-being is associated with problematic use of Internet communicative services.     

Context Matters for Social-Emotional Learning: Examining Variation in Program Impact by Dimensions of School Climate

This paper examines whether three dimensions of school climate—leadership, accountability, and safety/respect—moderated the impacts of the INSIGHTS program on students’ social‐emotional, behavioral, and academic outcomes. Twenty‐two urban schools and N = 435 low‐income racial/ethnic minority students were enrolled in the study and received intervention services across the course of 2 years, in both kindergarten and first grade. Intervention effects on math and reading achievement were larger for students enrolled in schools with lower overall levels of leadership, accountability, and safety/respect at baseline. Program impacts on disruptive behaviors were greater in schools with lower levels of accountability at baseline; impacts on sustained attention were greater in schools with lower levels of safety/respect at baseline. Implications for Social‐Emotional Learning program implementation, replication, and scale‐up are discussed.     

Representing time in language and memory: The role of similarity structure

Every day we read about or watch events in the world and can easily understand or remember how long they last. What aspects of an event are retained in memory? And how do we extract temporal information from our memory representations? These issues are central to human cognition, as they underlie a fundamental aspect of our mental life, namely our representation of time. This paper reviews previous language studies and reports a visual learning study indicating that properties of the events encoded in memory shape the representation of their duration. The evidence indicates that for a given event, the extent to which its associated properties or sub-components differ from one another modulates our representation of its duration. These properties include the similarity between sub-events and the similarity between the situational contexts in which an event occurs. We suggest that the diversity of representations that we associate with events in memory plays an important role in remembering and estimating the duration of experienced or described events.     

Making the case for objective performance metrics in newborn screening by tandem mass spectrometry

The expansion of newborn screening programs to include multiplex testing by tandem mass spectrometry requires understanding and close monitoring of performance metrics. This is not done consistently because of lack of defined targets, and interlaboratory comparison is almost nonexistent. Between July 2004 and April 2006 (N=176,185 cases), the overall performance metrics of the Minnesota program, limited to MS/MS testing, were as follows: detection rate 1:1,816, positive predictive value 37% (54% in 2006 till date), and false positive rate 0.09%. The repeat rate and the proportion of cases with abnormal findings actually been reported are new metrics proposed here as an objective mean to express the overall noise in a program, where noise is defined as the total number of abnormal results obtained using a given set of cut-off values. On the basis of our experience, we propose the following targets as evidence of adequate analytical and postanalytical performance: detection rate 1:3,000 or higher, positive predictive value>20%, and false positive rate<0.3%.     

Dependency in consumer media relations: an application to the case of teleshopping

• This paper analyses the teleshopping issue in terms of the Media Dependency Theory. The objective is to verify whether dependency relations between television shoppers and the television medium and television shopping are key variables to explain watching and buying behaviour. A model is proposed that integrates the dependency‐viewing‐purchase relation, tested on a sample of Spanish television shoppers. The results of the study confirm the direct relationship between the antecedents of dependency, dependency and future intentions of behaviour.

Copyright © 2006 John Wiley & Sons, Ltd.     

The latent structure of trait curiosity: evidence for interest and deprivation curiosity dimensions

To evaluate Litman and Jimerson's (2004) Interest/Deprivation (I/D) model of curiosity, 355 students (269 women, 86 men) responded to 6 trait curiosity measures including the Curiosity/Interest in the World scale (C/IW; Peterson & Seligman, 2004), the Curiosity and Exploration Inventory (CEI; Kashdan, Rose, & Fincham, 2004), the Perceptual Curiosity scale (PC; Collins, Litman, & Spielberger, 2004), the Epistemic Curiosity scale (EC; Litman & Spielberger, 2003), and the Curiosity as a Feeling-of-Deprivation scales (CFD; Litman & Jimerson, 2004). Consistent with expectations, the results of confirmatory factor analyses demonstrated that the C/IW, CEI, PC, EC scales defined an Interest (I) curiosity factor, whereas the CFD scales formed a Deprivation (D) curiosity factor. However, as compared to the other interest-based curiosity measures, one of the EC subscales was found to be less differentiated from the CFD scales, presumably because these instruments assess overlapping aspects of Berlyne's (1954) concept of epistemic curiosity. The results of this study indicated that I and D curiosity are related but differentiated curiosity dimensions, providing evidence for the validity of the I/D model.     

Event-related fMRI of category learning: differences in classification and feedback networks

Eighteen healthy young adults underwent event-related (ER) functional magnetic resonance imaging (fMRI) of the brain while performing a visual category learning task. The specific category learning task required subjects to extract the rules that guide classification of quasi-random patterns of dots into categories. Following each classification choice, visual feedback was presented. The average hemodynamic response was calculated across the eighteen subjects to identify the separate networks associated with both classification and feedback. Random-effects analyses identified the different networks implicated during the classification and feedback phases of each trial. The regions included prefrontal cortex, frontal eye fields, supplementary motor and eye fields, thalamus, caudate, superior and inferior parietal lobules, and areas within visual cortex. The differences between classification and feedback were identified as (i) overall higher volumes and signal intensities during classification as compared to feedback, (ii) involvement of the thalamus and superior parietal regions during the classification phase of each trial, and (iii) differential involvement of the caudate head during feedback. The effects of learning were then evaluated for both classification and feedback. Early in learning, subjects showed increased activation in the hippocampal regions during classification and activation in the heads of the caudate nuclei during the corresponding feedback phases. The findings suggest that early stages of prototype-distortion learning are characterized by networks previously associated with strategies of explicit memory and hypothesis testing. However as learning progresses the networks change. This finding suggests that the cognitive strategies also change during prototype-distortion learning.