Effects of contextual diversity on semantic decision and reading aloud: evidence from a word learning study in English as a second language / Efectos de la diversidad contextual en la decisión semántica y la lectura en voz alta: evidencia de un estudio de aprendizaje de palabras en inglés como segundo idioma

This experiment investigated contextual diversity effects on novel word learning in English as a second language (L2). A group of advanced English speakers, whose native language was Spanish, participated in the study. Participants learned the meaning of real but obscure words that were embedded in either two or 12 different sentences and learned over two days (frequency of exposure was kept constant). On day three, participants were tested using reading aloud and semantic decision tasks. The results showed that participants learned the meaning of words in both conditions fairly well as revealed by their accuracy in the semantic decision task. However, words experienced in 12 different contexts generated more accurate and faster reaction times (RTs), suggesting the acquisition of more robust semantic representations. Strikingly, reading latencies were also faster for the 12-sentence condition, which might imply that semantics has an effect on reading newly learned words in English as a second language. These results are discussed and accommodated in view of the DRC and the PDP models of single-word reading.     

Changing views of emotion regulation and neurobiological models of the mechanism of action of psychotherapy

Influential neurobiological models of the mechanism of action of psychotherapy attribute its success to increases of activity in prefrontal areas and decreases in limbic areas, interpreted as the successful and adaptive recruitment of controlled processes to achieve emotion regulation. In this article, we review the behavioral and neuroscientific evidence in support of this model and its applicability to explain the mechanism of action of psychotherapy. Neuroimaging studies of explicit emotion regulation, evidence on the neurobiological substrates of implicit emotion regulation, and meta-analyses of neuroimaging studies of the effect of psychotherapy consistently suggest that areas implicated in coding semantic representations play an important role in emotion regulation not covered by existing models based on controlled processes. We discuss the findings that implicate these same areas in supporting working memory, in encoding preferences and the prospective outcome of actions taken in rewarding or aversive contingencies, and show how these functions may be integrated into process models of emotion regulation that depend on elaborate semantic representations for their effectiveness. These alternative models also appear to be more consistent with internal accounts in the psychotherapeutic literature of how psychotherapy works.     

Naming times and standardized norms for the italian PD/DPSS set of 266 pictures: Direct comparisons with American, English, French, and Spanish published databases

The present study provides Italian normative measures for 266 line drawings belonging to the new set of pictures developed by Lotto, Dell’Acqua, and Job (in press). The pictures have been standardized on the following measures: number of letters, number of syllables, name frequency, within-category typicality, familiarity, age of acquisition, name agreement, and naming time. In addition to providing the measures, the present study focuses on indirect and direct comparisons (i.e., correlations) of the present norms with databases provided by comparable studies in Italian (in which normative data were collected with Snodgrass & Vanderwart’s set of pictures; Nisi, Longoni, & Snodgrass, 2000), in British English (Barry, Morrison, & Ellis, 1997), in American English (Snodgrass & Vanderwart, 1980; Snodgrass & Yuditsky, 1996), in French (Alario & Ferrand, 1999), and in Spanish (Sanfeliu & Fernandez, 1996).     

Predicting Cognitive and Social Consequences of Emotional Episodes: The Contribution of Emotional Intensity, the Five Factor Model, and Alexithymia

Emotional events are followed by recurrent thoughts (rumination) and talking about the event (social sharing of emotion). Factors that can account for variations in these consequences were examined (emotional intensity, the Five Factor Model, and two factors of alexithymia). In two samples, participants reported the most negative emotional event of recent months and in one sample also reported the most positive one. Results indicated that emotional intensity predicted social sharing and rumination, while neuroticism was positively related to intrusive thoughts about negative events and extraversion to rumination and social sharing about positive events. Difficulty describing feelings was negatively related to social sharing for negative events and reduced fantasy to rumination for positive events.     

Testing the age related differentiation hypothesis through the Wechsler’s scales

According to the age differentiation hypothesis (ADH), g becomes increasingly invested in specific abilities with age: with increasing age, g should account for a decreasing proportion of the variance in any particular cognitive test. However, there is no conclusive evidence concerning this important topic. Data from the Italian, Spanish, and American standardisation samples of the WPPSI and the WISC-R were analysed in the present study for testing the ADH. No changes in the proportion of variance associated with g in the 4–16 age range were found. This pattern does not change depending on the country. Therefore, the ADH is rejected: g seems to be very stable across age, and, thus, it seems to be an equally important component of intelligence test performance from early childhood to late adolescence.     

An evaluation of multi‐criteria methods in integrated assessment of climate policy

Those who conduct integrated assessments (IAs) are aware of the need to explicitly consider multiple criteria and uncertainties when evaluating policies for preventing global warming. MCDM methods are potentially useful for understanding tradeoffs and evaluating risks associated with climate policy alternatives. A difficulty facing potential MCDM users is the wide range of different techniques that have been proposed, each with distinct advantages. Methods differ in terms of validity, ease of use, and appropriateness to the problem. Alternative methods also can yield strikingly different rankings of alternatives. A workshop was held in which climate change experts and policy makers evaluated the usefulness of MCDM for IA. Participants applied several methods in the context of a hypothetical greenhouse gas policy decision. Methods compared include value and utility functions, goal programming, ELECTRE, fuzzy sets, stochastic dominance, min max regret, and several weight selection methods. Ranges, rather than point estimates, were provided for some questions to incorporate imprecision regarding weights. Additionally, several visualization methods for both deterministic and uncertain cases were used and evaluated. Analysis of method results and participant feedback through questionnaires and discussion provide the basis for conclusions regarding the use of MCDM methods for climate change policy and IA analyses. Hypotheses are examined concerning predictive and convergent validity of methods, existence of splitting bias among experts, perceived ability of methods to aid decision‐making, and whether expressing imprecision can change ranking results. Because participants gained from viewing a problem from several perspectives and results from different methods often significantly differed, it appears worthwhile to apply several MCDM methods to increase user confidence and insight. The participants themselves recommended such multimethod approaches for policymaking. Yet they preferred the freedom of unaided decision‐making most of all, challenging the MCDM community to create transparent methods that permit maximum user control. Copyright © 2002 John Wiley & Sons, Ltd.     

Alexithymia and its measurement: confirmatory factor analyses of the 20‐item Toronto Alexithymia Scale and the Bermond–Vorst Alexithymia Questionnaire

Alexithymia refers to the difficulties an individual has in experiencing and expressing feelings. The 20‐item Toronto Alexithymia Scale (TAS‐20) and the Bermond–Vorst Alexithymia Questionnaire (BVAQ) with two parallel versions of 20 items have been constructed to measure it. The present study compared the psychometric properties of these two self‐report questionnaires in English (N=290) and French (N=322) language versions. Confirmatory factor analysis was used to examine the fit between the hypothesized factors and the data. Results revealed a better fit to the data for the second version of the BVAQ (BVAQ‐20B) for both language versions as compared to the TAS‐20, the whole BVAQ, or the first version of the BVAQ (BVAQ‐20A). Additionally, the factor comparison of both language versions indicated that only the factorial structure of the BVAQ‐20B was replicable across languages. Concurrent validity of the questionnaires is discussed. Copyright © 1999 John Wiley & Sons, Ltd.     

The profile of abstract rule learning in infancy: Meta‐analytic and experimental evidence

Everyone agrees that infants possess general mechanisms for learning about the world, but the existence and operation of more specialized mechanisms is controversial. One mechanism—rule learning—has been proposed as potentially specific to speech, based on findings that 7‐month‐olds can learn abstract repetition rules from spoken syllables (e.g. ABB patterns: wo‐fe‐fe, ga‐tu‐tu…) but not from closely matched stimuli, such as tones. Subsequent work has shown that learning of abstract patterns is not simply specific to speech. However, we still lack a parsimonious explanation to tie together the diverse, messy, and occasionally contradictory findings in that literature. We took two routes to creating a new profile of rule learning: meta‐analysis of 20 prior reports on infants’ learning of abstract repetition rules (including 1,318 infants in 63 experiments total), and an experiment on learning of such rules from a natural, non‐speech communicative signal. These complementary approaches revealed that infants were most likely to learn abstract patterns from meaningful stimuli. We argue that the ability to detect and generalize simple patterns supports learning across domains in infancy but chiefly when the signal is meaningfully relevant to infants’ experience with sounds, objects, language, and people.