结构实在论评析

The epistemological version of structural realism, proposed by Cao Tianyu, has great influence in the philosophy of science. Syntheses has published a special volume discussing the topic. Cao criticizes anti-realism, as well as the epistemic and ontic versions of structural realism. From the concepts of structure, ontology, and construction, he analyzes the objectivity of scientific theories as having five aspects: construction, historicity, holism, revision, and revolution. This paper systematically analyzes and comments on Cao's structural realism. The author agrees with his criticism of the under-determination thesis, is neutral to his argument against ontological discontinuity, and questions his universal language argument. Translated by Yu Jinlong from Ziran Bianzhengfa Yanjiu 自然辩证法研究 (Studies in Dialectics of Nature), 2006, (11): 34–38     

Vision parafovéale et extraction précoce de la structure des phrases durant la lecture

According to the structural approach to reading (Psychon Bull Rev 1 (1994) 345-356), the extraction of structure precedes the analysis of meaning and is partially influenced by parafoveal information. We propose a new experimental design to examine, on the one hand, the implication of parafoveal information in the establishment of structural frames and, on the other hand, the size of these structural frames - from nine to 27 signs. We show that readers can be sensitive to the syntactic skeleton of the sentence until a distance of 27 signs from the fixation point. We discuss the results in the perspective of the structural model of reading and of the unconscious utilization of information (Cognition 80 (2000) 215-229).     

Longitudinal Changes in Intellectual Development in Children with Fragile X Syndrome

Structural equation modeling (SEM) was used to examine the development of intellectual functioning in 145 school-age pairs of siblings. Each pair included one child with Fragile X syndrome (FXS) and one unaffected sibling. All pairs of children were evaluated on the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) at time 1 and 80 pairs of children received a second evaluation at time 2 approximately 4 years later. Compared to their unaffected siblings, children with FXS obtained significantly lower percentage correct scores on all subtests of the WISC at both time points. During the time between the first and second assessments, the annual rate of intellectual development was approximately 2.2 times faster in the unaffected children compared to the children with FXS. Levels of the fragile X mental retardation protein (FMRP) were highly associated with intellectual ability scores of the children with FXS at both time points (r=0.55 and 0.64 respectively). However, when gender, age, and the time between assessments were included as covariates in the structural equation model, FMRP accounted for only 5% of the variance in intellectual ability scores at time 1 and 13% of the variance at time 2. The results of this study suggest that slower learning contributes to the low and declining standardized IQ scores observed in children with FXS.     

A longitudinal panel study on antecedents and outcomes of work-home interference

Theoretical models of the antecedents and outcomes of work-home interference (WHI) suggest that work characteristics (e.g., job stressors, working hours) increase the probability that an individual experiences work-home interference. Since work-home interference is considered as a role stressor, these experiences should be detrimental for long-term well-being. In this 2-wave panel study, the authors compared this suggested pathway with competing models that propose reverse causation and reciprocal effects in a sample of 365 employees (N at T2 = 130) from the German workforce using structural equation modeling. In particular, a model with two proposed antecedents (job stressors, working hours) of WHI and two proposed consequences (depression, turnover motivation) was analyzed in alternative configurations. The results support a cyclical model with a job stressors → depression → WHI → job stressors pathway. Furthermore, working hours affected WHI, and turnover motivation emerged as an outcome of WHI.     

纵向Rasch模型在大学新生适应性追踪研究中的应用

对1952名大学新生进行适应性调查,其中285人接受了2次以上的追踪调查,所得的多级评分重复测量数据采用纵向Rasch模型进行统计分析。研究应用SAS的GLIMMIX过程对多层Rasch模型参数估计作了新的尝试。结果表明：（1）新生在第一学年内,学习和情绪适应总体呈上升趋势,人际适应呈下降趋势;（2）不同个体入学时的适应状况差异显著,但是随时间变化的趋势、快慢相同;（3）学习适应分量表的项目稳定性较好,而人际、情绪适应的部分项目难度存在时间效应。研究结果对新生辅导具有启示意义     

结构方程模型中调节效应的标准化估计

回归分析和结构方程分析中,标准化估计对解释模型和比较效应大小有重要作用。对于调节效应模型（或交互效应模型）,通常的标准化估计没有意义。虽然显变量的调节效应模型标准化估计问题已经解决,但潜变量的调节效应模型标准化估计问题复杂得多。本文先介绍回归分析中显变量调节效应模型的标准化估计,然后提出了一种通过参数的原始估计和通常标准化估计来计算潜变量调节效应模型的“标准化”估计的方法,得到的“标准化”估计是尺度不变的,说明可以用“标准化”估计来解释和比较主效应和调节效应     

创业动机研究：概念结构、影响因素和理论模型

创业动机是驱动个体创业的心理倾向或动力, 它是个体创业行为发生的有效预测变量。在介绍完创业动机的概念、结构和测量工具的基础上, 文章综述了影响创业动机的因素, 包括大五人格特质、自我效能感、目标和环境因素等。接着着重阐述了经典创业动机理论, 包括拉动和推动理论、简单和复杂理论, 以及新近提出的解放理论。最后对未来研究进行了评价和展望。     

贝叶斯结构方程模型及其研究现状

在心理学研究中结构方程模型(Structural Equation Modeling, SEM)被广泛用于检验潜变量间的因果效应, 其估计方法有频率学方法(如, 极大似然估计)和贝叶斯方法两类。近年来由于贝叶斯统计的流行及其在结构方程建模中易于处理小样本、缺失数据及复杂模型等方面的优势, 贝叶斯结构方程模型发展迅速, 但其在国内心理学领域的应用不足。主要介绍了贝叶斯结构方程模型的方法基础和优良特性, 及几类常用的贝叶斯结构方程模型及其应用现状, 旨在为应用研究者介绍新的研究工具。     

Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement

Researchers have long been aware of the mathematics of factor indeterminacy. Yet, while occasionally discussed, the phenomenon is mostly ignored. In metrology, the measurement discipline of the physical sciences, uncertainty – distinct from both random error (but encompassing it) and systematic error – is a crucial characteristic of any measurement. This research argues that factor indeterminacy is uncertainty. Factor indeterminacy fundamentally threatens the validity of psychometric measurement, because it blurs the linkage between a common factor and the conceptual variable that the factor represents. Acknowledging and quantifying factor indeterminacy is important for progress in reducing this component of uncertainty in measurement, and thus improving psychological measurement over time. Based on our elaborations, we offer a range of recommendations toward achieving this goal.     

Model Implied Instrumental Variables (MIIVs): An Alternative Orientation to Structural Equation Modeling

Few dispute that our models are approximations to reality. Yet when it comes to structural equation models (SEMs), we use estimators that assume true models (e.g. maximum likelihood) and that can create biased estimates when the model is inexact. This article presents an overview of the Model Implied Instrumental Variable (MIIV) approach to SEMs from Bollen (1996). The MIIV estimator using Two Stage Least Squares (2SLS), MIIV-2SLS, has greater robustness to structural misspecifications than system wide estimators. In addition, the MIIV-2SLS estimator is asymptotically distribution free. Furthermore, MIIV-2SLS has equation-based overidentification tests that can help pinpoint misspecifications. Beyond these features, the MIIV approach has other desirable qualities. MIIV methods apply to higher order factor analyses, categorical measures, growth curve models, dynamic factor analysis, and nonlinear latent variables. Finally, MIIV-2SLS permits researchers to estimate and test only the latent variable model or any other subset of equations. In addition, other MIIV estimators beyond 2SLS are available. Despite these promising features, research is needed to better understand its performance under a variety of conditions that represent empirical applications. Empirical and simulation examples in the article illustrate the MIIV orientation to SEMs and highlight an R package MIIVsem that implements MIIV-2SLS.