A rational analysis of the acquisition of multisensory representations

How do people learn multisensory, or amodal, representations, and what consequences do these representations have for perceptual performance? We address this question by performing a rational analysis of the problem of learning multisensory representations. This analysis makes use of a Bayesian nonparametric model that acquires latent multisensory features that optimally explain the unisensory features arising in individual sensory modalities. The model qualitatively accounts for several important aspects of multisensory perception: (a) it integrates information from multiple sensory sources in such a way that it leads to superior performances in, for example, categorization tasks; (b) its performances suggest that multisensory training leads to better learning than unisensory training, even when testing is conducted in unisensory conditions; (c) its multisensory representations are modality invariant; and (d) it predicts ‘‘missing” sensory representations in modalities when the input to those modalities is absent. Our rational analysis indicates that all of these aspects emerge as part of the optimal solution to the problem of learning to represent complex multisensory environments.     

Stability and Invariance of Psychopathic Traits from Late Adolescence to Young Adulthood

The current study examined the longitudinal stability and invariance of psychopathic traits in a large community sample of male twins from ages 17 to 23. Participants were assessed across 6 years to gauge the stability and measurement invariance of the Minnesota Temperament Inventory (MTI), a Cleckley-based measure of psychopathic personality traits, and how family functioning and externalizing behavior were linked to these traits. A latent variable approach was used to model the structure of the MTI and provide a statistical test of measurement invariance across time. The results revealed support for invariance and moderate to strong stability of the MTI factors, which showed significant associations with the external correlates in late adolescence but not early adulthood.     

Emerging effortful control in toddlerhood: the role of infant orienting/regulation, maternal effortful control, and maternal time spent in caregiving activities

Latent growth modeling (LGM) was used to examine the contribution of changes in infant orienting/regulation (O/R) to the emergence of toddler effortful control (EC), the contributions of maternal EC to the development of infant O/R and the emergence of toddler EC, the influence of maternal time spent in caregiving activities on toddler EC and the slope of infant O/R, and the contribution of maternal EC to subsequent maternal time spent in caregiving activities. Mothers from 158 families completed a self-report measure of EC when their infants were 4 months of age, a measure of infant O/R when their infants were 4, 6, 8, 10, and 12 months of age, and a measure of toddler EC when their children reached 18 months of age. Information concerning maternal time spent in various interactive caregiving activities was collected when infants were 6 months old. Results indicated higher maternal EC predicted interindividual differences in the intercept (i.e., higher intercepts), but not slope, of infant O/R and that higher maternal EC, higher infant O/R intercept, and higher infant O/R slope contributed to higher toddler EC. Furthermore, higher maternal EC predicted greater maternal time spent in interactive caregiving activities with their infants and greater maternal time in interactive caregiving with infants also contributed to higher toddler EC after controlling for maternal EC. These findings contribute to the understanding of the influence of maternal EC, directly and through caregiving, on toddler EC. Additional implications as they are related to early developing regulatory aspects of temperament are discussed.     

Sex differences in latent cognitive abilities ages 5 to 17: Evidence from the Differential Ability Scales—Second Edition

Sex differences in the latent general and broad cognitive abilities underlying the Differential Ability Scales, Second Edition were investigated for children and youth ages 5 through 17. Multi-group mean and covariance structural equation modeling was used to investigate sex differences in latent cognitive abilities as well as changes in these differences across age. Most broad abilities showed mean differences across the sexes, and all such differences varied across ages. Girls showed an advantage on the processing speed (Gs) first-order residual factor. Girls also showed advantages at some ages on free-recall memory, a narrow ability of long term retrieval (Glr). Boys showed a developmentally-related advantage on a visual-spatial ability (Gv) first-order residual factor, depending on age. Younger girls showed an advantage on short-term memory (Gsm). No statistically significant sex differences were shown on the latent comprehension-knowledge (Gc) factor, or on a second-order, latent g factor. Boys showed larger variances for several broad abilities, some substantial, but those differences were not statistically significant.     

Commonly-defined and individually-defined posttraumatic growth in the US and Japan

Posttraumatic growth (PTG) is the experience of positive change resulting from the struggle with major life crises. Research on PTG has relied on instruments such as the Posttraumatic Growth Inventory (PTGI: Tedeschi &; Calhoun, 1996), in which items that describe positive changes are assumed to represent personal growth equally for all people. However, some positive changes may indicate greater growth for some people. Individually-defined PTG may differ from commonly-defined PTG. The purpose of this study was to explore the relationships between these two definitions of PTG and how culture affects them. Participants from the US (n = 456) and Japan (n = 279) indicated the degree to which each change in the PTGI represented personal growth. Results from mixed-model analyses of variance revealed that there were main effects for defined growth as well as interaction effects for all PTGI factors. For example, US participants reported greater growth on the factors Relating to Others and New Possibilities for the commonly-defined level, but once individually-defined PTG was considered, growth scores for US participants decreased substantially, and more so than for Japanese participants. Discussion addresses cultural and individual differences in the subjective definitions of PTG and highlights several directions for future research.     

The function of wisdom dimensions in ego‐identity development among Chinese university students

This study investigates the relationship between wisdom and ego‐identity among university students in China. Using Marcia's ego‐identity statuses and Ardelt's wisdom dimensions as the theoretical and conceptual framework, the study investigates 356 university students in China. After exploratory and confirmatory factor analyses, four factors from wisdom and five factors from ego‐identity were retrieved. A structural equation model was then conducted to analyse the relationships. The findings were: (1) among wisdom dimensions, cognitive, and reflective wisdom, especially perspective‐taking best predicted achievement, (2) all three dimensions of wisdom predicted moratorium, but reflective wisdom was the most pronounced predictor, (3) all three dimensions of wisdom predicted diffusion, but resentment items from reflective wisdom were the most pronounced predictors, and (4) gender was a significant predictor of ego‐identity achievement and diffusion. These findings suggest that efforts to build reflective wisdom might contribute to healthier ego‐identity formation.     

An Experimental Test of the Effects of Parental Modeling on Panic-Relevant Escape and Avoidance Among Early Adolescents

Escape and avoidance behaviors play a prominent role in the maintenance and possibly development of panic disorder, yet the literature regarding the etiology of these emotion-regulation strategies is relatively underdeveloped. The current study experimentally tests hypotheses that parental modeling of escape during a well-established panic-relevant biological challenge increases panic-relevant escape and avoidance among offspring. Fifty physically and psychologically healthy early adolescents (28 females; M_age = 11.58; 86% Caucasian), stratified by gender, were randomly assigned to observe one of their parents (39 females; M_age = 40.04): either (a) model completing a 3-min voluntary hyperventilation exercise (no escape modeling group) or (b) model premature termination of a similar procedure (escape modeling group). Offspring in the escape modeling group demonstrated a stronger escape response by discontinuing their own challenge sooner than those in the no-escape modeling group (r = .70). No group differences emerged in terms of avoidance responding, as indexed by nearly identical responding in terms of delay time before initiating the challenge, respiration rate, and self-reported willingness to engage in a second proposed challenge. Results suggest that parental behaviors may play an important role in the development of some forms of panic-relevant responding. These preliminary findings may have important implications for future prevention programs targeting parents and at-risk youth.     

Imitation,Impersonation, and Transformation: Using Male Role Models in Films to Promote Maturity

Becoming a man is developmental. Boys model after men in their lives as well as figures they see in the media. When role models are positive, appropriate, and present, boys grow into constructive adults who contribute to society. This article examines how counselors can intentionally help young men mature into well‐grounded and prosocial individuals through the use of models in films. It provides a list of some movies that counselors can use in the process.     

SAwSu: An Integrated Model of Associative and Reinforcement Learning

Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) and reinforcement learning (RL). We contrast the integrated model with standalone AL and RL models in three simulation studies. First, a synthetic grid‐navigation task is employed to highlight performance advantages for the integrated model in an environment where the reward structure is both diverse and dynamic. The second and third simulations contrast the performances of the three models in behavioral experiments, demonstrating advantages for the integrated model in accounting for behavioral data.