A multivariate reduced-rank growth curve model with unbalanced data

A multivariate reduced-rank growth curve model is proposed that extends the univariate reducedrank growth curve model to the multivariate case, in which several response variables are measured over multiple time points. The proposed model allows us to investigate the relationships among a number of response variables in a more parsimonious way than the traditional growth curve model. In addition, the method is more flexible than the traditional growth curve model. For example, response variables do not have to be measured at the same time points, nor the same number of time points. It is also possible to apply various kinds of basis function matrices with different ranks across response variables. It is not necessary to specify an entire set of basis functions in advance. Examples are given for illustration.The work reported in this paper was supported by Grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the second author. We thank Jennifer Stephan for her helpful comments on an earlier version of this paper. We also thank Patrick Curran and Terry Duncan for kindly letting us use the NLSY and substance use data, respectively. The substance use data were provided by Grant DA09548 from the National Institute on Drug Abuse.     

Appraised psychological workload, musculoskeletal symptoms, and the mediating effect of fatigue: a structural equation modeling approach

The aim of the present study was to test two structural models of the relationship between appraised psychological workload and musculoskeletal symptoms from the neck, shoulder, and upper and lower back with different aspects of perceived fatigue as mediating variables. In this cross-sectional study a questionnaire survey was conducted among employees at three Swedish assembly plants (n= 305). The proposed models were tested for one general fatigue dimension--lack of energy--and four specific fatigue dimensions--physical discomfort, physical exertion, lack of motivation, and sleepiness--using structural equation modeling. The results indicate that the role of perceived fatigue in the relationship between appraised workload and musculoskeletal symptoms is different for different aspects of fatigue. The general fatigue dimension, lack of energy, does not mediate the relationship. As regards the specific fatigue dimensions, the relationship is partially mediated by physical discomfort and lack of motivation but not by physical exertion or sleepiness. Appraised psychological workload has a unique effect on musculoskeletal symptoms not mediated by fatigue.     

贝叶斯多组比较——渐近测量不变性

在行为科学研究领域中,检验测量工具的测量不变性是进行群体差异比较的前提。目前,多组验证性因子分析(多组CFA)方法被广泛用于检验测量不变性,但是它对跨组等值的限制过于严格,在实际应用中常常存在大量局限。贝叶斯渐近测量不变性方法基于贝叶斯思想的优良特性,放宽了传统多组CFA方法对跨组差异的严格限制,避免了传统方法的问题,具有较高的应用价值。文章详细介绍了贝叶斯渐近测量不变性方法的原理及优势,同时通过实例展示了渐近测量不变性方法在Mplus软件中的具体分析过程。     

The stability of visual perspective and vividness during mental time travel

When remembering or imagining, people can experience an event from their own eyes, or as an outside observer, with differing levels of vividness. The perspective from, and vividness with, which a person remembers or imagines has been related to numerous individual difference characteristics. These findings require that phenomenology during mental time travel be trait-like—that people consistently experience similar perspectives and levels of vividness. This assumption remains untested. Across two studies (combined N = 295), we examined the stability of visual perspective and vividness across multiple trials and timepoints. Perspective and vividness showed weak within-session stability when reported across just a few trials but showed strong within-session stability when sufficient trials were collected. Importantly, both visual perspective and vividness demonstrated good-to-excellent across-session stability across different delay intervals (two days to six weeks). Overall, our results suggest that people dependably experience similar visual phenomenology across occurrences of mental time travel.     

The valence and the functions of autobiographical memories: Does intensity matter?

Autobiographical memories serve psychosocial functions in daily life and the use of memories is related to their valence. In the present study, we examined whether functions are also related to the intensity of positive and negative memories. Our sample included 110 participants (57–89 years of age). Memories were prompted with 30 emotionally neutral cue words. Participants rated the emotional quality of each memory and indicated how frequently they had recalled it for self-continuity, directing behavior, social-bonding, and mood-enhancement. We used multilevel modeling to test whether individual differences in the use of memories can explain why individuals recall different numbers of positive and negative memories as well as memories high or low in intensity. Each function revealed its specific pattern regarding valence and intensity but also regarding within-person and between-person effects. Mood-enhancement showed the strongest relations, which points to the importance of considering emotion regulation as a function of autobiographical memory.     

Screens across the pond: Findings from longitudinal screen time research in the US and UK

Digital media are increasingly pervasive in the lives of young children. This increase in the availability of digital media might have long-run implications for child development; however, it is too soon to definitively conclude the direction of effects. In part due to this lack of certainty, leading health organizations have chosen to make different recommendations to parents of young children: Many international health organizations (e.g., the American Academy of Pediatrics, World Health Organization) recommend very young children be limited to under one hour of screen time daily, whereas others (e.g., Royal College of Paediatrics and Child Health) have intentionally opted not to make recommendations about specific limits. These guidelines might contribute to parents in different countries making meaningfully different choices about children’s use of digital media. Using a sample of N = 303 families recruited in Cambridgeshire, England and New York City prior to the birth of couples’ first child, we explore predictors of digital media use across the first two years of life. Data were collected when children were 4, 14, and 24 months of age. Results of latent growth curve analyses show that generally, children spend more time engaging with digital media as they grow older; however, growth mixture models reveal most children fit into one of two classes: One group of children (High Media Users; 52.2 %) engages with a substantial amount of digital media, whereas the other (Low Media Users; 48.8 %) engages with relatively little. Children in the US were approximately 30 % more likely to be in the Low Media Users group and there were no differences in group membership on the basis of parents’ psychosocial wellbeing. While these differences could be due to a number of factors, these findings may reflect the power of pediatric recommendations.     

顾客授权行为对员工职业成长的影响：自我决定理论视角

聚焦于顾客授权行为这一概念, 以自我决定理论为基础, 分别引入基于组织的自尊作为中介变量和职业中心性作为调节变量, 探讨了顾客授权行为对一线服务员工职业成长的影响机制和作用边界。通过一项三阶段的时间滞后研究设计, 获取了245份有效样本, 结果显示: (1)顾客授权行为对员工职业成长具有显著的正向影响; (2)基于组织的自尊在顾客授权行为与员工职业成长之间起着部分中介作用; (3)职业中心性对顾客授权行为与基于组织的自尊的作用关系具有正向调节作用: 当员工职业中心性水平较高时, 顾客授权行为对基于组织的自尊的正向影响更强; (4)职业中心性进一步调节顾客授权行为通过基于组织的自尊对职业成长的间接影响: 当员工职业中心性水平较高时, 顾客授权行为通过基于组织的自尊对职业成长的正向效应会增强。     

Robust Bayesian growth curve modelling using conditional medians

Growth curve models have been widely used to analyse longitudinal data in social and behavioural sciences. Although growth curve models with normality assumptions are relatively easy to estimate, practical data are rarely normal. Failing to account for non-normal data may lead to unreliable model estimation and misleading statistical inference. In this work, we propose a robust approach for growth curve modelling using conditional medians that are less sensitive to outlying observations. Bayesian methods are applied for model estimation and inference. Based on the existing work on Bayesian quantile regression using asymmetric Laplace distributions, we use asymmetric Laplace distributions to convert the problem of estimating a median growth curve model into a problem of obtaining the maximum likelihood estimator for a transformed model. Monte Carlo simulation studies have been conducted to evaluate the numerical performance of the proposed approach with data containing outliers or leverage observations. The results show that the proposed approach yields more accurate and efficient parameter estimates than traditional growth curve modelling. We illustrate the application of our robust approach using conditional medians based on a real data set from the Virginia Cognitive Aging Project.     

Les déterminants du décrochage dans l’enseignement secondaire : une revue de littérature

IntroductionDropping out of school is a research topic with various dimensions: non-graduation, school leaving, absenteeism, school failure and school refusal. It involves processes determined by various factors – individual, social, familial and institutional. Individual determinants have specifically been studied in the recent literature. They involve demographic and academic indicators, behaviors, attitudes and mental health of the student, as well as specific types of school refusal. The aim of our study is to update knowledge in this specific field, and highlight underlying problems and methodological issues raised in the literature.MethodDropping out of school is defined as leaving school without a qualification. It involves a process of specific disengagement, which is non-reducible to the negative counterpart of school commitment. The present article is a review of literature from PsycInfo on the individual determinants of dropping out of school. It is based on 50 articles published between 2010 and 2017, related to the following topics: school dropouts, school leavers, school refusal, and academic failure. Five exclusion criteria were used: studies with single factor analysis, literature review, sample excluding secondary education, sample of less than n = 100, non-general, non-mixed, or composed of a sociodemographic minority.ResultsSchool performance and early risk behaviors (substance use disorders, sexuality) remain the best determinants of dropping out throughout the duration of schooling. Psychopathological factors, anxiety, depression and externalized disorders can play a direct or indirect role in the prediction of dropping out. Lack of psycho-emotional support strongly supports the intention to drop out. Motivation has an unequal predictive value, depending on the type of construct or theoretical model used. Inappropriate beliefs, low self-esteem, pessimism, creativity appear as indirect determinants of dropping out. School burnout, understood as emotional, physical and mental exhaustion due to education, directly causes a break between the student and the school.DiscussionMethodological bias can modify the significance of determinants such as gender, academic achievement and retention. Greater knowledge about the relationships between determinants, the profiles of at-risk students and temporalities should help clarify students’ trajectories and the processes at work in different school contexts. Recommendations to educational staff are put forward regarding the detection of individual indicators of dropping out.     

家人情感卷入对老年自我刻板印象的影响：基于潜变量增长模型的分析

本研究使用问卷法对257名老年人进行了历时1年的3次追踪测试, 采用潜变量增长模型与交叉滞后回归分析考察了家人情感卷入与老年自我刻板印象的变化趋势, 家人情感卷入发展与老年自我刻板印象发展的关系, 以及家人情感卷入对老年自我刻板印象的时序效应。结果发现：(1)老年人感知到的家人情感卷入在1年内呈线性递减, 而老年自我刻板印象呈线性增长; (2)家人情感卷入的初始水平负向预测老年自我刻板印象的初始水平与增长速率; (3)家人情感卷入的下降速率也显著预测了老年自我刻板印象的增长速率; (4)交叉滞后回归分析进一步支持了老年人家人情感卷入对老年自我刻板印象的总体负向预测作用。本研究为老年刻板印象内化的家庭过程提供了理论支持, 并对减少老年刻板印象内化、改善消极老年自我刻板印象的干预具有一定的实践价值。