Working memory retrieval differences between medial temporal lobe epilepsy patients and controls: A three memory layer approach

Multi-store models of working memory (WM) have given way to more dynamic approaches that conceive WM as an activated subset of long-term memory (LTM). The resulting framework considers that memory representations are governed by a hierarchy of accessibility. The activated part of LTM holds representations in a heightened state of activation, some of which can reach a state of immediate accessibility according to task demands. Recent neuroimaging studies have studied the neural basis of retrieval information with different states of accessibility. It was found that the medial temporal lobe (MTL) was involved in retrieving information within immediate access store and outside this privileged zone. In the current study we further explored the contribution of MTL to WM retrieval by analyzing the consequences of MTL damage to this process considering the state of accessibility of memory representations. The performance of a group of epilepsy patients with left hippocampal sclerosis in a 12-item recognition task was compared with that of a healthy control group. We adopted an embedded model of WM that distinguishes three components: the activated LTM, the region of direct access, and a single-item focus of attention. Groups did not differ when retrieving information from single-item focus, but patients were less accurate retrieving information outside focal attention, either items from LTM or items expected to be in the WM range. Analyses focused on items held in the direct access buffer showed that consequences of MTL damage were modulated by the level of accessibility of memory representations, producing a reduced capacity.     

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.     

Exploring Differential Subgroup Functioning on SAT Writing Items: What Happens When English Is Not a Test Taker's Best Language?

The purpose of this study is to explore patterns in model-data fit related to subgroups of test takers from a large-scale writing assessment. Using data from the SAT, a calibration group was randomly selected to represent test takers who reported that English was their best language from the total population of test takers (N = 322,011). A reference scale for the items was constructed based on EBL responses. Response behaviors of test takers who reported that English was not their best language (ENBL) were examined in relationship to this reference scale. This study illustrates the use of differential subgroup analyses to identify patterns related to person misfit within subgroups, as well as subsets of items, that may affect the validity of writing scores for ENBL test takers. The methodology described here offers an approach that can be used to explore, understand, and improve the validity of scores obtained from ENBL test takers in large-scale writing assessments.     

Validation and Standardization of the Dutch Trauma Symptom Checklist for Young Children in a Normative and Clinical Sample

The study aimed to describe the psychometric properties of the Dutch version of the Trauma Symptom Checklist for Young Children (TSCYC) in normative and clinical populations in the Netherlands. Caregivers’ ratings on the TSCYC were obtained for 1,802 children from the normal population, and for 515 children from a clinical population of traumatized children. In the clinical sample, additional measures were taken. The internal consistency and test-retest reliability of TSCYC scales were adequate. Confirmatory factor analysis showed acceptable fit on the putative scale structure. Regarding criterion validity, the clinical sample scored significantly higher on all clinical scales when compared to the normal population sample. Within the clinical sample, significant associations were found between TSCYC scales and convergent scales of other instruments. The Posttraumatic Stress-Total subscale demonstrated excellent discriminative ability between traumatized children and children from the normal population. The Dutch version of the TSCYC proved a valid and reliable instrument to measure trauma symptoms in young children through caregiver report, similar to the original American version. Further comparisons with diagnostic interviews are warranted.     

An Evaluation of the Word Triad Method for Monitoring Spelling Progress

Although spelling skill progress has typically been studied within the context of students' responses to written story starters (Deno, Marsten, & Mirkin, 1982; Fuchs & Fuchs, 2011; Hosp, Hosp, & Howell, 2007; Shinn & Shinn, 2002), there has been little research conducted within a curriculum-based measurement framework that has studied spelling progress monitoring on a weekly basis throughout an entire school year. The authors evaluated spelling progress using word triads, defined as a group of 3 words (with the same number of letters) that have a similar phonetic or morphological structure. Successful spelling of word triads as the unit of analysis has the potential to be more useful diagnostically to teachers than successful spelling of single words as the unit of analysis. An alternating series of three 15-word spelling tests were administered weekly to 10 third- and fourth-grade classrooms in the same school district throughout the school year for 8 rounds (1 round = 3 weeks of different but phonetically and/or morphologically similar word lists). Results indicate steady progress throughout the school year in the correct spelling of word triads (despite teacher reporting of no explicit spelling instruction in classrooms using in the words employed in the study). Correlations between the number of correctly spelled word triads with standard scores from a group-administered communication arts test were significant and comparable to alternate spelling test scoring methods. The authors conclude with limitations of the study and implications for practitioners.     

The Influence of Rater Effects in Training Sets on the Psychometric Quality of Automated Scoring for Writing Assessments

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be “trained” using machine-learning techniques that incorporate human ratings. However, the quality of the human ratings used to train the AESEs is rarely examined. As a result, the impact of various rater effects (e.g., severity and centrality) on the quality of AESE-assigned scores is not known. In this study, we use data from a large-scale rater-mediated writing assessment to examine the impact of rater effects on the quality of AESE-assigned scores. Overall, the results suggest that if rater effects are present in the ratings used to train an AESE, the AESE scores may replicate these effects. Implications are discussed in terms of research and practice related to automated scoring.     

Serotonin transporter 5-HTTLPR genotype is associated with intrusion and avoidance symptoms of DSM-5 posttraumatic stress disorder (PTSD) in Chinese earthquake survivors

Background and Objectives: Prior studies have found that the serotonin transporter gene-linked polymorphic region (5-HTTLPR) interacts with trauma exposure to increase general risk for Posttraumatic Stress Disorder (PTSD). However, there is little knowledge about the effects of the interaction on distinct symptom clusters of PTSD. This study aimed to investigate the relation between the interaction of 5-HTTLPR and earthquake-related exposures and a contemporary phenotypic model of DSM-5 PTSD symptoms in a traumatised adult sample from China.

Design: A cross-sectional design with gene-environment interaction (G?×?E) approach was adopted. Methods: Participants were 1131 survivors who experienced 2008 Wenchuan earthquake. PTSD symptoms were assessed with the PTSD Checklist for DSM-5 (PCL-5). The 5-HTTLPR polymorphism was genotyped with capillary electrophoresis (CE) in ABI 3730xl genetic Analyzer.

Results: Although there was no significant interaction between 5-HTTLPR and traumatic exposure on total PTSD symptoms, respondents with the LL genotype of 5-HTTLPR who were highly exposed to the earthquake experienced lower intrusion and avoidance symptoms than those with the S-allele carriers.

Conclusions: The findings suggest that the 5-HTTLPR may have an important impact on the development of PTSD and add to the extant knowledge on understanding and treating of posttraumatic psychopathology.     

The Multigroup Ethnic Identity Measure – Revised (MEIM-R): Psychometric evaluation with adolescents from diverse ethnocultural groups in Italy

The Multigroup Ethnic Identity Measure – Revised (MEIM-R) is an extensively used questionnaire assessing ethnic identity. However, studies on its measurement characteristics in the European context are lacking. The current study addressed this gap by investigating the MEIM-R psychometric proprieties across multiple ethnocultural groups in Italy. Participants were 1445 adolescents (13–18 years) of Italian, East European, and North African origin. Results showed that the MEIM-R has good internal consistency. Multigroup confirmatory factor analyses revealed configural and metric invariance, i.e., an equal, correlated two-factor structure (ethnic identity exploration and commitment) and equal factor loadings across groups. Scalar invariance, i.e., equal item intercepts, was found only for the commitment scores that showed no group differences in latent factor mean levels. Partial structural invariance was evidenced, with the factor covariances varying across groups. These findings suggest that the MEIM-R is a valuable tool to assess the correlates of ethnic identity, although further research is needed.     

Children's Sensitivity to Cost and Reward in Decision Making across Distinct Domains of Probability,Effort, and Delay

Many behavioral paradigms used to study individuals' decision‐making tendencies do not capture the decision components that contribute to behavioral outcomes, such as differentiating decisions driven toward a reward from decisions driven away from a cost. This study tested a novel decision‐making task in a sample of 403 children (age 9 years) enrolled in an ongoing longitudinal study. The task consisted of three blocks representing distinct cost domains (delay, probability, and effort), wherein children were presented with a deck of cards, each of which consisted of a reward and a cost. Children elected whether to accept or skip the card at each trial. Reward–cost pairs were selected by using an adaptive algorithm to strategically sample the decision space in the fewest number of trials. Using person‐specific regression models, decision preferences were quantified for each cost domain with respect to general tolerance (intercept), as well as parameters estimating the effect of incremental increases in reward or cost on the probability of accepting a card. Results support the relative independence of decision‐making tendencies across cost domains, with moderate correlations observed between tolerance for delay and effort. Specific decision parameters showed unique associations with cognitive and behavioral measures including executive function, academic motivation, anxiety, and hyperactivity. Evidence indicates that sensitivity to reward is an important factor in incentivizing decisions to work harder or wait longer. Dissociating the relative contributions of reward and cost sensitivity in multiple domains may facilitate the identification of heterogeneity in suboptimal decision making. Copyright © 2017 John Wiley & Sons, Ltd.