Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling

Recently, verbal credibility assessment has been extended to the detection of deceptive intentions, the use of a model statement, and predictive modeling. The current investigation combines these 3 elements to detect deceptive intentions on a large scale. Participants read a model statement and wrote a truthful or deceptive statement about their planned weekend activities (Experiment 1). With the use of linguistic features for machine learning, more than 80% of the participants were classified correctly. Exploratory analyses suggested that liars included more person and location references than truth‐tellers. Experiment 2 examined whether these findings replicated on independent‐sample data. The classification accuracies remained well above chance level but dropped to 63%. Experiment 2 corroborated the finding that liars' statements are richer in location and person references than truth‐tellers' statements. Together, these findings suggest that liars may over‐prepare their statements. Predictive modeling shows promise as an automated veracity assessment approach but needs validation on independent data.     

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.     

Latent class analysis of indicators of intolerance of uncertainty

Intolerance of Uncertainty (IU ) is a transdiagnostic vulnerability factor involved in depression and anxiety symptoms and disorders. IU encompasses Prospective IU (“Unforeseen events upset me greatly”) and Inhibitory IU (“The smallest doubt can stop me from acting”). Research has yet to explore whether subgroups or classes of people exist characterized by different profiles of IU . This study used latent class analysis to identify such subgroups and examined if different classes of IU were distinct in terms of several cognitive vulnerabilities and psychological symptoms. Data were obtained from 519 students completing a 12‐item measure of IU . Four subgroups were identified, characterized by low IU , predominantly Prospective IU , predominantly Inhibitory IU , and high IU , respectively. People in the high IU class reported cognitive vulnerabilities and depression and anxiety more than people in the low IU class. Inhibitory IU was more strongly associated with poor outcomes than was Prospective IU .     

Modeling Nonstationary Emotion Dynamics in Dyads using a Time-Varying Vector-Autoregressive Model

Emotion dynamics are likely to arise in an interpersonal context. Standard methods to study emotions in interpersonal interaction are limited because stationarity is assumed. This means that the dynamics, for example, time-lagged relations, are invariant across time periods. However, this is generally an unrealistic assumption. Whether caused by an external (e.g., divorce) or an internal (e.g., rumination) event, emotion dynamics are prone to change. The semi-parametric time-varying vector-autoregressive (TV-VAR) model is based on well-studied generalized additive models, implemented in the software R. The TV-VAR can explicitly model changes in temporal dependency without pre-existing knowledge about the nature of change. A simulation study is presented, showing that the TV-VAR model is superior to the standard time-invariant VAR model when the dynamics change over time. The TV-VAR model is applied to empirical data on daily feelings of positive affect (PA) from a single couple. Our analyses indicate reliable changes in the male’s emotion dynamics over time, but not in the female’s—which were not predicted by her own affect or that of her partner. This application illustrates the usefulness of using a TV-VAR model to detect changes in the dynamics in a system.     

Integrating Covariates into Social Relations Models: A Plausible Values Approach for Handling Measurement Error in Perceiver and Target Effects

The Social Relations Model (SRM) is a conceptual and analytical approach to examining dyadic behaviors and interpersonal perceptions within groups. In an SRM, the perceiver effect describes a person's tendency to perceive other group members in a certain way, whereas the target effect measures the tendency to be perceived by others in certain ways. In SRM research, it is often of interest to relate these individual SRM effects to covariates. However, the estimated individual SRM effects might not provide a very reliable measure of the true, unobserved SRM effects, resulting in distorted estimates of associations with other variables. This article introduces a plausible values approach that allows users to correct for measurement error when assessing the association of individual SRM effects with other individual difference variables. In the plausible values approach, the latent, true individual SRM effects are treated as missing values and are imputed from an imputation model by applying Bayesian estimation techniques. In a simulation study, the statistical properties of the plausible values approach are compared with two approaches that have been used in previous research. A data example from educational psychology is presented to illustrate how the plausible values approach can be implemented with the software WinBUGS.     

Problem Clarity as a Moderator between Trait Affect and Self‐Perceived Creativity

Empirical studies on the relationship between affect and creativity often produce conflicting results. This inconsistency has led us to believe that the relationship between affect and creativity may be better understood by looking at potential moderators. Our study looked specifically at trait affect and self‐perceived creativity. Using the Affect Infusion Model (AIM) theory with problem clarity as the potential moderator, we hypothesized that when individuals are faced with problems that lack clarity, trait affect has greater sway over their self‐perceived creativity. Our results provided evidence that problem clarity moderated the relationship between positive trait affect and self‐perceived creativity; the positive relationship between positive trait affect and self‐perceived creativity is stronger when problem clarity is low and weaker when problem clarity is high. No moderating effect was found in the relationship between negative trait affect and self‐perceived creativity.     

Age and Sex Differences in Morningness/Eveningness Along the Life Span: A Cross-Sectional Study in Spain

Work psychology has noted the importance of considering the temporal dimension of behavior in organizations. Given that society widely operates on a 24-hr schedule, it is important to know how circadian typologies are distributed in the general population. In this study, diurnal preference was analyzed among 4,175 Spanish participants (61.3% women), 12–59 years old, who completed the Composite Scale of Morningness (Smith, Reilly, & Midkiff, 1989). Several measurement models of the CSM were analyzed using exploratory structural equation modeling and confirmatory factor analysis. The bifactor model showed the best fit, with a general factor (morningness/eveningness) and three subfactors (morningness, morning affect, and time of retiring). The age and sex factorial invariance of the bifactor model were tenable at the latent variance-covariance level. Next, age and sex differences analysis indicated a progressive increase in morningness with age, but over 40 years old, men were more morningness oriented than women were. These results indicate that morningness/eveningness can be considered a multidimensional construct and that psychosocial factors must be considered when estimating the prevalence of morningness/eveningness in different populations or countries.     

3～6岁儿童人格发展的群组序列追踪研究

目的:运用自编幼儿人格发展教师评定问卷对幼儿人格进行追踪测量,探讨其年龄及性别发展特点。方法:用整群抽样法选取3~3.5岁、3.5~4岁、4~4.5岁3个年龄群组幼儿为被试,采用群组序列的追踪设计,进行为期1年半的追踪测量,结合潜变量增长曲线模型和多层线性模型处理数据,探讨幼儿在3~6岁间人格的发展特点。结果:(1)幼儿的智能特征、认真自控、外倾性、亲社会性、情绪稳定性5个人格维度在3~4岁发展最快,4~5岁持续增长但发展速度放缓,到5~6岁时趋于平稳;(2)女孩的认真自控和亲社会性在3岁时显著高于男孩,但在3~6岁间的增长率不存在差异,即女孩的认真自控和亲社会性在幼儿阶段发展水平始终高于男孩。结论:从家庭进入幼儿园的环境变迁促使了幼儿人格的进一步发展,5岁左右幼儿人格开始初步形成;女孩的认真自控和亲社会性水平在幼儿阶段始终高于男孩。     

Doubling‐down on deprivation: Using latent profile analysis to evaluate an age‐old assumption in relative deprivation theory

Theorists have long argued that two forms of relative deprivation exist: individual‐based relative deprivation (IRD) whereby a person feels deprived relative to other individuals and group‐based relative deprivation (GRD) whereby a person feels his/her ingroup is deprived relative to other groups. Combinations of IRD and GRD are therefore assumed to produce four response profiles: (i) high on IRD and GRD (i.e. ‘doubly deprived’); (ii) high on IRD, low on GRD; (iii) low on IRD, high on GRD; or (iv) low on IRD and GRD. The existence of these profiles, however, has never been assessed. We address this oversight by using latent profile analysis to identify distinct response patterns to measures of IRD and GRD. Across two studies, we found no support for this typology, nor the oft‐assumed doubly deprived profile. Rather, response patterns showed moderate levels of IRD across discrete profiles accompanied by considerable variability in GRD.