On Standardizing Within-Person Effects: Potential Problems of Global Standardization

Person-mean centering has been recommended for disaggregating between-person and within-person effects when modeling time-varying predictors. Multilevel modeling textbooks recommended global standardization for standardizing fixed effects. An aim of this study is to evaluate whether and when person-mean centering followed by global standardization can accurately estimate fixed-effects within-person relations (the estimand of interest in this study) in multilevel modeling. We analytically derived that global standardization generally yields inconsistent (asymptotically biased) estimates for the estimand when between-person differences in within-person standard deviations exist and the average within-person relation is nonzero. Alternatively, a person-mean-SD standardization (P-S) approach yields consistent estimates. Our simulation results further revealed (1) how misleading the results from global standardization were under various circumstances and (2) the P-S approach had accurate estimates and satisfactory coverage rates of fixed-effects within-person relations when the number of occasions is 30 or more (in many conditions, performance was satisfactory with 10 or 20 occasions). A daily diary data example, focused on emotional complexity, was used to empirically illustrate the approaches. Researchers should choose standardization approaches based on theoretical considerations and should clearly describe the purpose and procedure of standardization in research articles.     

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.     

小学低年级儿童口语词汇知识的发展轨迹及其影响因素

以149名小学生为研究对象, 对其口语词汇知识进行了历时3年的5次追踪测试, 采用潜变量增长模型探索了小学1~3年级学生汉语口语词汇知识的发展轨迹, 并考察了语音意识、同形语素意识、复合语素意识和家庭社会经济地位对口语词汇知识发展轨迹的影响。结果发现：(1) 1~3年级学生口语词汇知识发展轨迹呈曲线形式, 其中前两年呈线性发展, 三年级时呈加速发展, 发展速度是前期发展的两倍, 起始水平和发展速度均存在显著的个体差异; (2)语音意识、同形语素意识、复合语素意识和家庭社会经济地位均可以正向预测学生口语词汇知识的起始水平; (3)只有同形语素意识和家庭社会经济地位可以正向预测学生口语词汇知识的发展速度。     

Speed, accuracy, and serial order in sequence production

The production of complex sequences like music or speech requires the rapid and temporally precise production of events (e.g., notes and chords), often at fast rates. Memory retrieval in these circumstances may rely on the simultaneous activation of both the current event and the surrounding context (Lashley, 1951). We describe an extension to a model of incremental retrieval in sequence production (Palmer & Pfordresher, 2003) that incorporates this logic to predict overall error rates and speed-accuracy trade-offs, as well as types of serial ordering errors. The model-assumes that retrieval of the current event is influenced by activations of surrounding events. Activations of surrounding events increase over time, such that both the accessibility of distant events and overall accuracy increases at slower production rates. The model's predictions were tested in an experiment in which pianists performed unfamiliar music at 8 different tempi. Model fits to speed-accuracy data and to serial ordering errors support model predictions. Parameter fits to individual data further suggest that working memory contributes to the retrieval of serial order and overall accuracy is influenced in addition by motor dexterity and domain-specific skill.     

Enhancing early communication through infant sign training

Existing research suggests that there may be benefits to teaching signing to hearing infants who have not yet developed vocal communication. In the current study, each of 4 infants ranging in age from 6 to 10 months was taught a simple sign using delayed prompting and reinforcement. In addition, Experiment 1 showed that 2 children independently signed in a variety of novel stimulus conditions (e.g., in a classroom, with father) after participating in sign training under controlled experimental conditions. In Experiment 2, crying and whining were replaced with signing when sign training was implemented in combination with extinction.     

Parental Modeling,Reinforcement, and Information Transfer: Risk Factors in the Development of Child Anxiety?

The purpose of this article is to provide a comprehensive review and a conceptual integration of research examining the potential role of learning from parents in the development of child anxiety. Specifically, research in this area is discussed within the framework of three specific mechanisms: parental modeling, information transfer, and parental reinforcement of anxious/avoidant behavior. Implications of the research in this area are discussed, as well as limitations and directions for future research.     

Does empathy predict adolescents' bullying and defending behavior?

Through structural equation modeling, this study tested a path of relations in which different levels of empathic responsiveness were posited to be differently associated to bullying and defending behavior. Three hundred and eighteen Italian adolescents (142 girls and 176 boys; mean age = 13.2 years) completed the Davis's Interpersonal Reactivity Index [Davis, 1983] for empathy and the Participant role scales [Salmivalli et al., 1996] for bullying and defending behavior. The results revealed that the model fitted the data adequately, but only in the case of boys. As hypothesized, low levels of empathic responsiveness were associated to students' involvement in bullying others. In contrast, empathy was positively associated with actively helping victimized schoolmates. However, the estimates algorithm did not reach convergence with girls' data. The current findings confirm and extend the literature on the relation between empathy, prosociality and aggressive behavior. Educational implications are also discussed.     

Reading ability is negatively related to Stroop interference

Stroop interference is often taken as evidence for reading automaticity even though young and poor readers, who presumably lack reading automaticity, present strong interference. Here the relationship between reading skills and Stroop interference was studied in a 7th-grade sample. Greater interference was observed in children diagnosed with reading disability (dyslexia) than in unimpaired children. Moreover, poorer reading skills were found to correlate with greater Stroop interference in the general school population. In correlation and regression analyses, interference was primarily associated with reading speed, with an additional unique contribution of reading accuracy. Color naming errors were few and not comparably related to reading skills. The relation of reading skill to Stroop interference was examined in computational modeling simulations. The production model of Roelofs [Roelofs, A. (2003). Goal-referenced selection of verbal action: modeling attentional control in the Stroop task. Psychological Review, 110, 88-125], in which interference is primarily due to word stimuli having direct access to word form encoding whereas color naming must pass through concept activation and lemma selection, was found to account well for the human data after imposing covariation constraints on parameters controlling word processing and blocking latency, in modifications not affecting the model's previous fit to other data. The connectionist model of Cohen, Dunbar, and McClelland [Cohen, J. D., Dunbar, K., & McClelland, J. L. (1990). On the control of automatic processes: a parallel distributed processing account of the Stroop effect. Psychological Review, 97, 332-361], in which interference is caused by differential route strength, implementing an automaticity account, approximated the observed patterns with network-wide parameter manipulations not specific to reading, such as processing speed and response threshold, likely to affect previously optimized performance. On the basis of the empirical and modeling data we argue for a direct link between reading skill and interference, beyond the effects of executive functioning.     

Faulty assumptions: A comment on Blanton, Jaccard, Gonzales, and Christie (2006)

Blanton, Jaccard, Gonzales, and Christie [Blanton, H., Jaccard, J., Gonzales, P., Christie, C. (2006). Decoding the Implicit Association Test: implications for criterion prediction. Journal of Experimental Social Psychology, 42, 192-212.] assert that the Implicit Association Test (IAT) imposes a model that portrays relative preferences as the additive difference between single attitudes. This assertion is misplaced because relative preferences do not necessarily reduce to component attitudes. BJGC also assume that the IAT conditions represent two indicators of the same construct. This assumption is incorrect, and is the cause of their poor-fitting models. The IAT, like other experimental paradigms, contrasts performance between interdependent conditions, and cannot be reduced to component parts. This is true whether calculating a simple difference between conditions, or using the IAT D score. D—an individual effect size that is monotonically related to Cohen’s d—codifies the interdependency between IAT conditions. When their unjustified psychometric assumptions are replaced with plausible assumptions, the models fit their data very well, and basis for their poor-fitting models becomes clear.