Events,processes, and the time of a killing

The paper proposes a novel solution to the problem of the time of a killing (ToK), which persistently besets theories of act-individuation. The solution proposed claims to expose a crucial wrong-headed assumption in the debate, according to which ToK is essentially a problem of locating some event that corresponds to the killing. The alternative proposal put forward here turns on recognizing a separate category of dynamic occurrents, viz. processes. The paper does not aim to mount a comprehensive defence of process ontology, relying instead on extant defences. The primary aim is rather to put process ontology to work in diagnosing the current state of play over ToK, and indeed in solving it.     

An empirical Q-matrix validation method for the sequential generalized DINA model

As a core component of most cognitive diagnosis models, the Q-matrix, or item and attribute association matrix, is typically developed by domain experts, and tends to be subjective. It is critical to validate the Q-matrix empirically because a misspecified Q-matrix could result in erroneous attribute estimation. Most existing Q-matrix validation procedures are developed for dichotomous responses. However, in this paper, we propose a method to empirically detect and correct the misspecifications in the Q-matrix for graded response data based on the sequential generalized deterministic inputs, noisy ‘and’ gate (G-DINA) model. The proposed Q-matrix validation procedure is implemented in a stepwise manner based on the Wald test and an effect size measure. The feasibility of the proposed method is examined using simulation studies. Also, a set of data from the Trends in International Mathematics and Science Study (TIMSS) 2011 mathematics assessment is analysed for illustration.     

一种非参数化的Q矩阵估计方法：ICC-IR方法开发

摘要：相对于参数化的方法,本研究根据题目测量模式关系开发出ICC指标,并提出基于理想得分的ICC指标法进行Q矩阵估计。Monte Carlo模拟研究与实证研究发现（1）基于理想得分ICC指标法估计Q矩阵具有很好的效果,当属性个数越少、基础题个数越多,估计效果越好。（2）相对于以往方法——D2统计量的方法,ICC-IR法效果更好,并且是一种非参数化的方法,计算简单快捷。（3）实证数据分析表明,ICC-IR法估计的Q矩阵在模型拟合度上也优于D2统计量方法。     

UNDERSTANDING PARENTING STRESS AND CHILDREN'S BEHAVIOR PROBLEMS AMONG HOMELESS,SUBSTANCE‐ABUSING MOTHERS

This article tested a model of parenting stress as a mediator between maternal depressive symptoms, emotion regulation, and child behavior problems using a sample of homeless, substance‐abusing mothers. Participants were 119 homeless mothers (ages 18–24 years) and their young children (ages 0–6 years). Mothers responded to questions about their depressive symptoms, emotion regulation, parenting stress, and child behavior problems. A path analysis showed that maternal depressive symptoms were positively associated with child behavior problems through increased parenting stress whereas maternal cognitive reappraisal was negatively associated with child behavior problems through decreased parenting stress. Moreover, maternal expressive suppression was negatively related to child externalizing problems. Findings support the parenting stress theory and highlight maternal parenting stress as a mechanism associated with homeless children's mental health risk. This study has significant implications for understanding the parenting processes underlying child's resilience in the context of homelessness and maternal substance use.