Specifying Ability Growth Models Using a Multidimensional Item Response Model for Repeated Measures Categorical Ordinal Item Response Data

When categorical ordinal item response data are collected over multiple timepoints from a repeated measures design, an item response theory (IRT) modeling approach whose unit of analysis is an item response is suitable. This study proposes a few longitudinal IRT models and illustrates how a popular compensatory multidimensional IRT model can be utilized to formulate such longitudinal IRT models, which permits an investigation of ability growth at both individual and population levels. The equivalence of an existing multidimensional IRT model and those longitudinal IRT models is also elaborated so that one can make use of an existing multidimensional IRT model to implement the longitudinal IRT models.     

小学儿童数学焦虑的潜在类别转变及其父母教育卷入效应：3年纵向考察

研究采用潜在转变分析考察小学儿童数学焦虑的类别转变以及父母教育卷入在小学儿童数学焦虑类别转变中的作用。以1720名三、四年级儿童为被试, 对其数学焦虑和感知到的父母教育卷入进行3次追踪, 每次间隔1年。结果表明：(1)小学儿童数学焦虑存在低数学焦虑组、高数学评估焦虑组和高数学获得焦虑组3种不同类别; (2)随时间的推移, 高数学评估焦虑组倾向于向低数学焦虑组转变, 高数学获得焦虑组倾向于向高数学评估焦虑组转变, 而低数学焦虑组稳定性较强; (3)父亲/母亲教育卷入对儿童数学焦虑类别转变的预测作用, 因不同的数学焦虑类别而异。上述发现为深入理解数学焦虑的形成机制以及干预措施的制定提供了重要参考。     

Data Analytic Advances That Bridge the Scientist-Practitioner Gap

In this commentary, I advance the view that the scientist-practitioner gap is partly due to the research designs commonly used in psychotherapy research. Specifically, I believe that randomized controlled trials, which are important for establishing treatment efficacy and as leverage when making the case for the value of psychotherapy in relation to various stakeholders, are limited for further development of clinical theories. Instead, I find recent advances in cross-lagged panel modeling to be both clinically intuitive and stronger for causal inference than most other nonexperimental designs. In addition to discussing causal inference and clinical interpretation of cross-lagged panel models, I discuss the potential of improving mediation analysis, personalization of research, and studying issues of clinical timing. Finally, I briefly discuss some limitations of cross-lagged panel models. It is my belief that the use of these data analytic advances can make empirical research better live up to the innovations in Beck’s work.     

Compositional insights on the association between physical activity and sedentary behavior on momentary mood in daily life

ObjectiveGiven the increasing number of mental disorders, a growing body of studies now focuses on the relationship between physical activity (PA), sedentary behavior (SB), and mental health. However, momentary mechanisms and interrelatedness between PA, SB, and mood in daily life are highly understudied.MethodsTo investigate whether the composition of light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and SB influences mood, we conducted an Ambulatory Assessment study in the everyday life of 103 university students over five days. We measured PA and SB via accelerometers and assessed mood up to six times each day on smartphone diaries. We combined compositional data analyses (CoDA) with multilevel modeling to analyze within-person effects of the behavioral composition on mood.ResultsHigher ratio of the SB to LPA and MVPA composition within the 60 min prior to a diary rating negatively influenced valence (p = 0.006) and energetic arousal (p < 0.001). Furthermore, a higher ratio of LPA to SB and MVPA positively influenced energetic arousal (p < 0.001) and a higher ratio of MVPA to SB and LPA positively influenced valence (p = 0.004) and energetic arousal (p = 0.022). Simulation analyses revealed that replacing 20 min of SB with PA can influence mood rating up to 3.39 units [range from 0–100].ConclusionsFindings suggest that minutely replacements of SB with PA may lead to mood enhancements. Given the high prevalence of mental disorders, more studies are warranted to deepen the understanding of momentary compositional mechanisms between SB, PA, and mood. Applying CoDA to intensive longitudinal data can serve as a starting point to identify the optimal composition of SB, LPA, and MVPA for mood enhancements in everyday life.     

国内中介效应的方法学研究

中介效应可以分析自变量对因变量的影响过程和作用机制, 已成为分析多个变量之间关系的一种重要统计方法。最近20年, 中介效应成了研究方法的一个热点。从中介效应的检验方法、效应量、类别变量的中介效应检验、纵向数据的中介效应检验和模型拓展(包括多重中介、多层中介、有调节的中介和有中介的调节模型)五个方面系统总结了国内中介效应的方法学研究的发展历程。最后对中介效应的国外方法学研究进展和中介效应的未来研究方向做了讨论和拓展。     

组织中利他行为的可持续性及其前因机制：基于主动性动机视角

随着社会经济的快速发展,对于组织及其成员来说,要想更好地在当前快速变化的工作环境中适应和发展,员工利他行为的可持续性愈发重要。新近研究发现利他行为具有动态性,但在理论框架和研究方法上存在严重不足,无法获得利他行为动态可持续性特征的全貌,对其前因机制的研究则更为缺失。因此,本研究基于主动性动机视角,聚焦利他行为可持续性的动态性特征,并在此基础上探索利他行为可持续性的前因机制,以期增进对利他行为本质的理解,并为可持续互利团队与组织建设实践提供参考。     

负性生活事件、社会支持和创伤后应激障碍症状：对汶川地震后青少年的追踪研究

创伤后应激障碍是灾难后常见的心理病理问题, 灾后继发负性生活事件和社会支持是影响创伤后应激障碍症状的重要因素。该研究采用追踪设计, 历时2年对汶川地震后都江堰地区1573名青少年进行3次测查, 考察震后继发负性生活事件、不同类型社会支持与创伤后应激障碍症状之间的相互作用关系。研究发现：不同类型的社会支持与震后继发负性生活事件、创伤后应激障碍症状存在不同的作用关系; 震后继发负性生活事件不仅直接影响个体的心理健康还对个体的社会支持系统有损害; 震后负性生活事件、主观支持与创伤后应激障碍症状存在联动效应, 即三者中任一方面的变化都可能引起其他方面的变化。