Do the right thing! A study on social representation of obedience and disobedience

The present research is aimed at investigating through a mixed-method approach the dimensions underlying the psychosocial constructs of obedience, disobedience and the relations between them. To this end, we consider the attitudes toward (dis)obedience being socially constructed, and we chose the theory of social representations (Abric, 2003; Moscovici, 1961) as the theoretical framework of this study.The data, collected on a sample of 190 individuals, allowed us to define these social objects, reducing both their complexity and polysemy.Obedience and disobedience were both seen by research participants as context-dependent behaviours, neither positive nor negative, per se. Also, both related to the concept of authority (individuals, institutions, and society). However, while obedience was mostly considered an uncritical response to laws, social norms or physical authorities, disobedience was defined as an active, conscious line of conduct. Theoretical and practical implications of these findings are discussed.     

Did Somebody See It? Applying the Verifiability Approach to Insurance Claim Interviews

We examined the application of the verifiability approach to insurance claim interviews. The verifiability approach states that truth tellers and liars differ from each other in terms of the number of details they give that can be verified. Eighty‐three true and false insurance claim statements, related to damage, theft, or loss, were coded in terms of ‘witnesses’ (was the incident witnessed by others) and ‘verifiability’ (the number of perceptual and contextual details provided that could be checked by the investigator). We found that the majority of liars, compared with half the truth tellers, described unwitnessed incidents. This difference between the groups allowed for the detection of liars only. Discrimination between liars and truth tellers based on the verifiability of details was not possible. The implications of these findings are discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

基于结构方程模型的多重中介效应分析

多重中介模型是指存在多个中介变量的模型。多重中介模型可以分析特定中介效应、总的中介效应和对比中介效应。指出了目前多重中介模型分析普遍存在的问题,包括分析不完整、使用Sobel检验带来的局限。建议通过增加辅助变量的方法进行完整的多重中介效应分析,使用偏差校正的Bootstrap方法进行中介检验。总结出一个多重中介SEM分析流程,并有示例和相应的MPLUS程序。随后展望了辅助变量和中介效应检验方法的发展方向。     

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.     

Investigating How Test-Takers Change Their Strategies to Handle Difficulty in Taking a Reading Comprehension Test: Implications for Score Validation

This article investigates how test-takers change their strategies to handle increased test difficulty. An adult sample reported their test-taking strategies immediately after completing the tasks in a reading test. Data were analyzed using structural equation modeling specifying a measurement-invariant, ability-moderated, latent transition analysis in Mplus (Muthén & Asparouhov, 2011). It was found that almost half of the test-takers (47%) changed their strategies when encountering increased task-difficulty. The changes were characterized by augmenting comprehending-meaning strategies with score-maximizing and test-wiseness strategies. Moreover, test-takers' ability was the driving influence that facilitated and/or buffered the changes. The test outcomes, when reviewed in light of adjusted test-taking strategies, demonstrated a form of process-based validity evidence.     

自我损耗、情绪动机对冲动决策的影响

以大学生为被试,探讨自我损耗、情绪动机对冲动决策的影响。采用2×2×2的混合实验设计,组内变量为自我损耗,组间变量为情绪动机方向和强度,使用双任务范式操作自我损耗,使用情绪动机图片启动被试的情绪动机,使用延迟折扣任务的指标k值测量冲动决策。结果发现,高趋近动机的k值大于低趋近动机,高回避动机的k值大于低回避动机。结果表明,自我损耗、情绪动机对冲动决策有明显影响。     

Intersectional experiences of discrimination in a low‐resource urban community: An exploratory latent class analysis

There have been increasing calls for the application of an intersectionality framework to understand and address discrimination and health inequities among diverse communities. Yet there have been theoretical debates regarding to whom intersectionality applies and how intersectional experiences of discrimination are associated with health outcomes. The current study aimed to contribute to these theoretical debates and inform practical applications to reduce health inequities. Data were drawn from a community health survey in New Haven, CT (N = 1,293 adults) and analysed using latent class analysis. Results yielded 4 classes. Members of the 4 classes were similar sociodemographically. Three classes of participants reported experiencing discrimination, and members of these classes had greater stress, higher rates of smoking and sleep disruption, and worse overall health than members of the class reporting no discrimination. Members of 2 classes made multiple, or intersectional, attributions for discrimination, and members of these classes reported the most frequent discrimination. Findings suggest that community members who are sociodemographically similar may have diverse discrimination experiences. Multilevel interventions that address multiple forms of discrimination (e.g., racism and sexism) may hold promise for reducing discrimination and, ultimately, health inequities within low‐resource urban community settings.     

Two-Stage maximum likelihood estimation in the misspecified restricted latent class model

The maximum likelihood classification rule is a standard method to classify examinee attribute profiles in cognitive diagnosis models (CDMs). Its asymptotic behaviour is well understood when the model is assumed to be correct, but has not been explored in the case of misspecified latent class models. This paper investigates the asymptotic behaviour of a two-stage maximum likelihood classifier under a misspecified CDM. The analysis is conducted in a general restricted latent class model framework addressing all types of CDMs. Sufficient conditions are proposed under which a consistent classification can be obtained by using a misspecified model. Discussions are also provided on the inconsistency of classification under certain model misspecification scenarios. Simulation studies and a real data application are conducted to illustrate these results. Our findings can provide some guidelines as to when a misspecified simple model or a general model can be used to provide a good classification result.     

农村留守儿童焦虑情绪的异质性:基于潜在剖面分析

采用中学生心理健康诊断量表（MHT）对湖南省1292名留守儿童的焦虑情绪进行施测,并用潜在剖面分析方法探究留守儿童的焦虑情绪问题是否存在异质性,以及留守儿童相关的人口学因素对焦虑情绪异质性的作用机制。结果发现,留守儿童的焦虑情绪存在明显的异质性,可以分为三种潜在类别：“严重焦虑情绪型”、“中等程度焦虑情绪型”和“低焦虑情绪型”;留守男生、小学五年级、高中二年级、留守时间越长、留守初始年龄越小的留守儿童更容易焦虑情绪严重;无论是父亲外出、母亲外出还是双亲外出对留守儿童的焦虑情绪严重性的影响是一致的。由此,应根据留守儿童的性别、年级、留守时长和留守的初始年龄等情况特点,开展针对性的预防和干预措施,缓解留守儿童焦虑。     

The longitudinal association between internalizing symptoms and academic achievement among immigrant and non‐immigrant children in Norway

The aim of this study was to explore the longitudinal relation between internalizing symptoms and academic achievement, as two processes of children and youth development, among children in Norway, and whether having an immigrant background moderated this association. Data collected from 4,458 students in Norway in four waves over three years were analyzed with multi‐group latent growth curve modeling (LGM ). Results showed that internalizing symptoms level remained unchanged over time both for immigrant and non‐immigrant children, while levels of academic achievement increased only for children of immigrants with both parents born outside of Norway. Further analyses supported a reciprocal relation between internalizing symptoms and academic achievement and revealed that the initial level of academic achievement predicted the rate of change in internalizing symptoms over time, but not vice versa. Moreover, immigrant background did not moderate the associations in the model, however, children of immigrants with both parents born abroad initially had lower levels of academic achievement, but showed an increase in academic achievement, compared to their non‐immigrant peers as well as to peers with one native‐born parent after controlling for gender and their grade at the first observation. The implications for policy and practice were discussed.