Maturational Constraints on Language Learning

This paper suggests that there are constraints on learning required to explain the acquisition of language, in particular, maturational constraints. First, empirical evidence for this claim is reviewed. The evidence from several studies of both first and second language acquisition suggests that normal language learning occurs only when exposure to the language begins early in life. With exposure beginning later in life, asymptotic performance in the language declines: the effects over age of first exposure are approximately linear through childhood, with a flattening of the function in adulthood. These outcomes argue that some type of constraints ensuring successful language learning exist early in life, and weaken with increasing maturation. Second, two hypotheses are considered as to the nature of these maturational changes. One hypothesis is that constraints on learning particular to language acquisition undergo maturational decay. A second hypothesis, which is considered in more detail, suggests that language learning abilities decline because of the expansion of nonlinguistic cognitive abilities.     

Early trauma,negative affect,and anxious attachment: the role of metacognition

Background and Objectives: Metacognition is linked to the etiology and maintenance of negative emotions and psychological disorder in the Self-Regulatory Executive Function Model. Although there is significant evidence supporting the model, little is currently known about the situational factors for developing dysfunctional metacognitions. The current study explored the hypothesis that early aversive experiences might be important and also tested if metacognitions could mediate the relationship between such experiences and psychological symptoms. Design and Methods: Three hundred and fifty non-clinical adults completed a retrospective early trauma measure, as well as measures of current metacognitive beliefs, negative affect, and anxious attachment. Results: Early emotional abuse positively and significantly correlated with several metacognitive belief dimensions but other forms of early trauma did not. Metacognition fully mediated the relationship between emotional abuse and negative affect. Anxious attachment was also positively and significantly associated with metacognitive beliefs and specific relationships remained after controlling for early emotional abuse and current negative affect. Conclusions: Findings are consistent with the ideas that: (i) early negative experiences, and emotional abuse in particular, could be a factor in the formation of problematic metacognitions and (ii) these metacognitions may be important in determining the effects of abuse on subsequent psychological symptoms.     

Childhood Emotional Abuse and Psychological Distress in Gay and Bisexual Men

Despite the high prevalence of childhood emotional abuse (CEA) and adult psychological distress (depression and anxiety) among gay and bisexual men (GBM), there is little research examining the relationships among these variables. This study examined internalized homophobia (IH) as a mediator between CEA and psychological distress in a sample of 286 GBM. Controlling for demographics and childhood sexual and physical abuse, CEA was associated with self-report and clinician-administered measures of psychological distress. Concern about stigma of being gay mediated the relationship between CEA and psychological distress. Internalized antigay attitudes might be important in the relationship between CEA and adult psychological distress. Clinicians might address negative beliefs about the self as a GBM that could be exacerbated due to CEA.     

Patterns in Blame Attributions in Maltreated Youth: Association with Psychopathology and Interpersonal Functioning

This investigation explored patterns of blame attributions in 128 youth, primarily (87%) female, with maltreatment histories. Second, the study also evaluated the relative variance in posttraumatic stress disorder (PTSD) symptom severity, emotional distress, and interpersonal functioning outcomes, accounted for by age, abuse characteristics, and blame attribution patterns. Cluster analyses revealed distinctive blame profiles: high perpetrator blame, moderate perpetrator blame, high self-blame, high perpetrator/high self-blame, and low perpetrator/low self-blame. Regression analyses yielded significant models, accounting for 15% to 34% of the variance of outcomes. Most notably, youth endorsing a high perpetrator/high self-blame (i.e., compounded blame) attribution pattern reported poorer outcomes as compared to youth presenting with other blame profiles. Maltreatment type and age differences were not demonstrated across clusters. Implications and limitations are discussed.     

Implicit Coping Responses to Racism Predict African Americans' Level of Psychological Distress

African Americans report experiencing discrimination on a frequent basis, and these experiences have been linked to psychological distress. Coping responses to racism have been suggested to mediate the relationship between discrimination and distress. This study introduces the first measure of African Americans' implicit emotional and coping responses to racism and examines the measure's ability to predict psychological distress. The Go/No-Go Association Task (Nosek &; Banaji, 2001 Nosek , B. A. , &; Banaji , M R. ( 2001 ). The go/no-go association task . Social Cognition , 19 , 625 – 664 .[Crossref], [Web of Science ®] , [Google Scholar]) was adapted to assess African Americans' implicit association of racial prejudice with each of four coping and two emotional responses. Anxiety and general psychological distress were assessed with the Brief Symptom Inventory. Greater implicit association between prejudice and “seeking support” was found to predict lower anxiety and general distress, demonstrating the potential utility of implicit measures in assessing coping responses to racism and their consequences.     

Introduction

With the death of Yosef Hayim Yerushalmi in December 2009, the world of Jewish studies lost one of its most distinguished practitioners. Yerushalmi undertook pathbreaking research in a number of different fields of Jewish history that reflected the breadth of his erudition. This issue of Jewish History explores several key branches of Yerushalmi’s scholarly labor including his study of conversos and his ongoing interest in the “royal alliances” of the Jews. It also explores Yerushalmi’s reputation beyond the United States, focusing in particular on France and Germany, where he achieved wide renown in the 1980s and 1990s.     

Ordered short-term memory differs in signers and speakers: implications for models of short-term memory

Capacity limits in linguistic short-term memory (STM) are typically measured with forward span tasks in which participants are asked to recall lists of words in the order presented. Using such tasks, native signers of American Sign Language (ASL) exhibit smaller spans than native speakers ([Boutla, M., Supalla, T., Newport, E. L., & Bavelier, D. (2004). Short-term memory span: Insights from sign language. Nature Neuroscience, 7(9), 997-1002]). Here, we test the hypothesis that this population difference reflects differences in the way speakers and signers maintain temporal order information in short-term memory. We show that native signers differ from speakers on measures of short-term memory that require maintenance of temporal order of the tested materials, but not on those in which temporal order is not required. In addition, we show that, in a recall task with free order, bilingual subjects are more likely to recall in temporal order when using English than ASL. We conclude that speakers and signers do share common short-term memory processes. However, whereas short-term memory for spoken English is predominantly organized in terms of temporal order, we argue that this dimension does not play as great a role in signers' short-term memory. Other factors that may affect STM processes in signers are discussed.     

Acquiring and processing verb argument structure: distributional learning in a miniature language

Adult knowledge of a language involves correctly balancing lexically-based and more language-general patterns. For example, verb argument structures may sometimes readily generalize to new verbs, yet with particular verbs may resist generalization. From the perspective of acquisition, this creates significant learnability problems, with some researchers claiming a crucial role for verb semantics in the determination of when generalization may and may not occur. Similarly, there has been debate regarding how verb-specific and more generalized constraints interact in sentence processing and on the role of semantics in this process. The current work explores these issues using artificial language learning. In three experiments using languages without semantic cues to verb distribution, we demonstrate that learners can acquire both verb-specific and verb-general patterns, based on distributional information in the linguistic input regarding each of the verbs as well as across the language as a whole. As with natural languages, these factors are shown to affect production, judgments and real-time processing. We demonstrate that learners apply a rational procedure in determining their usage of these different input statistics and conclude by suggesting that a Bayesian perspective on statistical learning may be an appropriate framework for capturing our findings.     

A Factor Structure of Wellness: Theory,Assessment, Analysis,and Practice

The Wheel of Wellness, a theoretical model of well‐being, incorporates 16 dimensions of healthy functioning that can be assessed using the Wellness Evaluation of Lifestyle (WEL; J. E. Myers, T. J. Sweeney, & J. M. Witmer, 1998). A series of studies are reported concerning the development and validation of the WEL based on a large database. In the current study, exploratory and confirmatory factor analyses of the items and scales revealed 5 primary factors of well‐being (Creative, Coping, Social, Essential, and Physical) and 1 superordinate factor identified as “Wellness.”