Coding strategies,perceptual grouping,and the “variability effect” in free recall

Three experiments examined the effects of constant vs. varied input of letter strings on recall, and then examined the effects of such training in the learning of new lists of letter strings. Letter strings were constructed from pairs of trigrams spatially grouped, and were presented either consistently or with different spatial groupings on successive presentations. In Experiments I and II, varied input produced substantially greater recall than constant input. When transferred to a new list of letter strings, containing either the same general structure or a new scrambled structure, recall of the second list was determined primarily by conditions of first-list input, and unaffected by second-list structure. Although the "variability effect" did not appear in the training phase of Experiment III, Varied input led subjects to regroup or integrate the letter sequences more frequently and produced similar transfer effects as in Experiments I and II.     

Lexical leverage: category knowledge boosts real‐time novel word recognition in 2‐year‐olds

Recent research suggests that infants tend to add words to their vocabulary that are semantically related to other known words, though it is not clear why this pattern emerges. In this paper, we explore whether infants leverage their existing vocabulary and semantic knowledge when interpreting novel label–object mappings in real time. We initially identified categorical domains for which individual 24‐month‐old infants have relatively higher and lower levels of knowledge, irrespective of overall vocabulary size. Next, we taught infants novel words in these higher and lower knowledge domains and then asked if their subsequent real‐time recognition of these items varied as a function of their category knowledge. While our participants successfully acquired the novel label–object mappings in our task, there were important differences in the way infants recognized these words in real time. Namely, infants showed more robust recognition of high (vs. low) domain knowledge words. These findings suggest that dense semantic structure facilitates early word learning and real‐time novel word recognition.     

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.     

The Role of Family Support in Interparental Conflict and Adolescent Academic Achievement

Family support was examined as a mediator of the relation between interparental conflict and adolescent academic achievement. Results indicated that two dimensions of family support, family cohesion and parent–school involvement, mediated the relation between interparental conflict and academic achievement. The results further suggested that family support was more likely to function as a mediator for girls than for boys. Lastly, in the presence of a mediating effect, a direct path remained between interparental conflict and grade point average.     

The Relationship Between Parenting Style and Children's Adjustment: The Parents' Perspective

We examined the relationship between authoritative and authoritarian parenting styles and socio-emotional adjustment in elementary school children as reported from the parents' perspective. Mothers of first through fifth graders provided information about parenting style as well as children's competencies and problem behaviors. Teachers provided ratings of children's adjustment for a subset of the participants. Results indicated that authoritative parenting was associated negatively with parent- and teacher-rated maladaptive behavior, and positively with indicators of healthy adjustment. Correlations between authoritarian parenting and adjustment were either small or non-significant. Regression analyses indicated that authoritative parenting was more predictive of children's competence than maladaptation (22% versus 10% of variance). The effects of parenting style on adjustment were not moderated by demographic variables, such as the child's gender, grade level, ethnicity, and family income.     

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.