Young Deceivers: Executive Functioning and Antisocial Lie‐telling in Preschool Aged Children

The present study examined the emergence of antisocial lie‐telling in very young children. Lie‐telling was studied in relation to executive functioning skills and children's abilities to identify both truths and lies. A total of 65 children (M_{age in months} = 31.75, SD = 1.87) participated in a modified temptation resistance paradigm (TRP; designed to elicit spontaneous lies). Executive functioning was measured through an inhibitory control task and a forward search planning task. The Truth/Lie Identification task was administered (Lyon, Carrick, & Quas, 2010 ) to measure children's abilities to accurately distinguish truths and lies. During the TRP, a total of 89.23% children peeked at the toy when a research assistant left the room, and of those children, 29.31% lied to the research assistant. Significant differences on executive functioning measures were found between lie‐tellers and confessors, as well as for the Truth/Lie Identification task. Lie‐tellers had higher scores on measures of inhibitory control and forward search planning. Lie‐tellers also had higher accuracy on the Truth/Lie Identification task than confessors. This study provides a unique contribution to the literature by examining 2.5‐year‐old children's emerging lie‐telling abilities, a relatively understudied age during which fledgling lie‐telling emerges. Copyright © 2016 John Wiley & Sons, Ltd.     

心理与教育测验中反应时模型应用的优势与举例

基于计算机形式的测验使得收集作答反应时信息成为可能,这些信息的有效利用对心理与教育测验的理论研究和实际应用产生了重大影响。首先,归纳并总结了测验中使用反应时信息的五大优势。其次,分别介绍了4种不同取向下较典型的反应时模型与模型特征,并分别进行评价。再次,较系统地梳理了反应时模型在实践中的应用,使读者了解反应时信息在测验中所发挥的作用。最后,探讨了未来将反应时应用于心理与教育测量领域的几个研究方向。     

Factor structure and aetiological architecture of the BRIEF: A twin study

Executive function is a broad construct that encompasses various processes involved in goal‐directed behaviour in non‐routine situations (Banich, 2009). The present study uses a sample of 560 5‐ to 16‐year‐old twin pairs (M = 11.14, SD = 2.53): 219 monozygotic twin pairs (114 female; 105 male) and 341 dizygotic twin pairs (136 female, 107 male; 98 opposite sex) to extend prior literature by providing information about the factor structure and the genetic and environmental architecture of the Behavior Rating Inventory of Executive Function (BRIEF; Gioia et al., 2000, Child Neuropsychol., 6, 235; Gioia et al., 2000, Behavior rating inventory of executive function, Lutz, FL: Psychological Assessment Resources), a multifaceted rating scale of everyday executive functions. Phenotypic results revealed a 9‐scale, 3‐factor model best represents the BRIEF structure within the current sample. Results of the genetically sensitive analyses indicated the presence of rater bias/contrast effects for the Initiate, Working Memory, and Task‐Monitor scales. Additive genetic and non‐shared environmental influences were present for the Initiate, Plan/Organize, Organization of Materials, Shift, and Monitor and Self‐Monitor scales. Influences on Emotional Control were solely environmental. Interestingly, the aetiological architecture observed was similar to that of performance‐based measures of executive function. This observed similarity provided additional evidence for the usefulness of the BRIEF as a measure of ‘everyday’ executive function.     

Developing new online calibration methods for multidimensional computerized adaptive testing

Multidimensional computerized adaptive testing (MCAT) has received increasing attention over the past few years in educational measurement. Like all other formats of CAT, item replenishment is an essential part of MCAT for its item bank maintenance and management, which governs retiring overexposed or obsolete items over time and replacing them with new ones. Moreover, calibration precision of the new items will directly affect the estimation accuracy of examinees’ ability vectors. In unidimensional CAT (UCAT) and cognitive diagnostic CAT, online calibration techniques have been developed to effectively calibrate new items. However, there has been very little discussion of online calibration in MCAT in the literature. Thus, this paper proposes new online calibration methods for MCAT based upon some popular methods used in UCAT. Three representative methods, Method A, the ‘one EM cycle’ method and the ‘multiple EM cycles’ method, are generalized to MCAT. Three simulation studies were conducted to compare the three new methods by manipulating three factors (test length, item bank design, and level of correlation between coordinate dimensions). The results showed that all the new methods were able to recover the item parameters accurately, and the adaptive online calibration designs showed some improvements compared to the random design under most conditions.     

Non‐ignorable missingness item response theory models for choice effects in examinee‐selected items

Examinee‐selected item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set, always yields incomplete data (i.e., when only the selected items are answered, data are missing for the others) that are likely non‐ignorable in likelihood inference. Standard item response theory (IRT) models become infeasible when ESI data are missing not at random (MNAR). To solve this problem, the authors propose a two‐dimensional IRT model that posits one unidimensional IRT model for observed data and another for nominal selection patterns. The two latent variables are assumed to follow a bivariate normal distribution. In this study, the mirt freeware package was adopted to estimate parameters. The authors conduct an experiment to demonstrate that ESI data are often non‐ignorable and to determine how to apply the new model to the data collected. Two follow‐up simulation studies are conducted to assess the parameter recovery of the new model and the consequences for parameter estimation of ignoring MNAR data. The results of the two simulation studies indicate good parameter recovery of the new model and poor parameter recovery when non‐ignorable missing data were mistakenly treated as ignorable.     

Assessment of Differential Rater Functioning in Latent Classes with New Mixture Facets Models

Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred to as differential rater functioning (DRF). In existing DRF studies, the group membership of ratees is known, such as gender or ethnicity. However, DRF may occur when the group membership is unknown (latent) and thus has to be estimated from data. To solve this problem, in this study, we developed a new mixture facets model to assess DRF when the group membership is latent and we provided two empirical examples to demonstrate its applications. A series of simulations were also conducted to evaluate the performance of the new model in the DRF assessment in the Bayesian framework. Results supported the use of the mixture facets model because all parameters were recovered fairly well, and the more data there were, the better the parameter recovery.     

ON BECOMING ABLE TO PLAY: INDIVIDUAL CHILD PSYCHOANALYTIC PSYCHODRAMA AND THE DEVELOPMENT OF SYMBOLIZATION

In this paper, the authors analyze the relevance and transformative potential of individual psychoanalytic psychodrama in the treatment of children with severe impairments in symbolization. Central features of this modality, including promoting the representation of early traumatic experiences, are presented and discussed. Specific features include double‐envelope containment of the co‐therapists’ group and play leader, consequent diffraction of the transference‐determining portrayal, gradual integration, and initial figuration of coexisting split‐off fragments. Drawing on in‐depth clinical material, the authors show how psychodrama tempers the potentially traumatic effects of the encounter with the object, allowing these patients to access the transitional area of play.     

A Hierarchical Rater Model for Longitudinal Data

Research studies in psychology and education often seek to detect changes or growth in an outcome over a duration of time. This research provides a solution to those interested in estimating latent traits from psychological measures that rely on human raters. Rater effects potentially degrade the quality of scores in constructed response and performance assessments. We develop an extension of the hierarchical rater model (HRM), which yields estimates of latent traits that have been corrected for individual rater bias and variability, for ratings that come from longitudinal designs. The parameterization, called the longitudinal HRM (L-HRM), includes an autoregressive time series process to permit serial dependence between latent traits at adjacent timepoints, as well as a parameter for overall growth. We evaluate and demonstrate the feasibility and performance of the L-HRM using simulation studies. Parameter recovery results reveal predictable amounts and patterns of bias and error for most parameters across conditions. An application to ratings from a study of character strength demonstrates the model. We discuss limitations and future research directions to improve the L-HRM.     

No thanks! Autonomous interpersonal style is associated with less experience and valuing of gratitude

Gratitude has been promoted as a beneficial emotional experience. However, gratitude is not universally experienced as positive. The current work examines whether an autonomous interpersonal style is associated with differential experience of gratitude. Study 1 found an inverse relationship between trait autonomy and both trait gratitude and positivity of response to receiving a hypothetical benefit from a friend. Study 2 replicated the finding that those higher in autonomy report less trait gratitude, and also demonstrated an inverse relationship between autonomy and valuing gratitude. Study 3 found that those higher in autonomy had more self-image goals and reduced compassionate goals in relationships, and that valuing gratitude mediated the relationship between autonomy and relationship goals. These results show a consistent inverse relationship between autonomy and the experience and valuing of gratitude, suggesting that degree of autonomy is one determinant of whether gratitude is experienced as positive.