多水平随机中介效应估计及其比较

本文在综述各类多水平中介模型的基础上, 聚焦于自变量、中介变量、因变量都来自多水平结构中较低水平的多水平随机中介效应模型, 通过蒙特卡洛模拟研究比较该模型与简化的多水平固定中介效应模型、传统中介效应模型的差别, 并考察了目前用于多水平随机中介效应的三种参数估计方法：限制性极大似然、极大似然、最小方差二次无偏估计在不同情况下对随机中介效应估计的优劣。研究结果显示：当数据符合多水平随机中介效应模型时, 使用简化模型将错误估计中介效应及其标准误, 得到不正确的统计检验结果; 使用多水平随机中介效应模型能够实现对中介效应的正确估计和检验, 其中限制性极大似然或极大似然估计方法优于最小方差二次无偏估计方法。     

航空模拟舱飞行行为的EPIC理论仿真

利用计算机技术,以执行过程交互控制(EPIC)理论框架为基础,建立了一个虚拟飞行员飞行过程的计算模型,并对人在复杂任务下的作业绩效进行了仿真。结果表明：(1)该研究在原有EPIC理论基础上发展的仿真模型合理可行;(2)仿真结果和实验结果拟合良好,模型具有良好的预测能力。该研究为以仿真方法研究复杂任务的心理过程提供了一次有益的尝试。     

Is computer simulation changing the face of experimentation?

Morrison points out many similarities between the roles of simulation models and other sorts of models in science. On the basis of these similarities she claims that running a simulation is epistemologically on a par with doing a traditional experiment and that the output of a simulation therefore counts as a measurement. I agree with her premises but reject the inference. The epistemological payoff of a traditional experiment is greater (or less) confidence in the fit between a model and a target system. The source of this payoff is the existence of a causal interaction with the target system. A computer experiment, which does not go beyond the simulation system itself, lacks any such interaction. So computer experiments cannot confer any additional confidence in the fit (or lack thereof) between the simulation model and the target system.     

Researching a Local Heroin Market as a Complex Adaptive System

This project applies agent-based modeling (ABM) techniques to better understand the operation, organization, and structure of a local heroin market. The simulation detailed was developed using data from an 18-month ethnographic case study. The original research, collected in Denver, CO during the 1990s, represents the historic account of users and dealers who operated in the Larimer area heroin market. Working together, the authors studied the behaviors of customers, private dealers, street-sellers, brokers, and the police, reflecting the core elements pertaining to how the market operated. After evaluating the logical consistency between the data and agent behaviors, simulations scaled-up interactions to observe their aggregated outcomes. While the concept and findings from this study remain experimental, these methods represent a novel way in which to understand illicit drug markets and the dynamic adaptations and outcomes they generate. Extensions of this research perspective, as well as its strengths and limitations, are discussed.     

Spatial representations elicit dual-coding effects in mental imagery

Spatial aspects of words are associated with their canonical locations in the real world. Yet little research has tested whether spatial associations denoted in language comprehension generalize to their corresponding images. We directly tested the spatial aspects of mental imagery in picture and word processing (Experiment 1). We also tested whether spatial representations of motion words produce similar perceptual-interference effects as demonstrated by object words (Experiment 2). Findings revealed that words denoting an upward spatial location produced slower responses to targets appearing at the top of the display, whereas words denoting a downward spatial location produced slower responses to targets appearing at the bottom of the display. Perceptual-interference effects did not obtain for pictures or for words lacking a spatial relation. These findings provide greater empirical support for the perceptual-symbols system theory ( Barsalou, 1999, 2008 ).     

基于概化理论的方差分量变异量估计

概化理论广泛应用于心理与教育测量实践中, 方差分量估计是进行概化理论分析的关键。方差分量估计受限于抽样, 需要对其变异量进行探讨。采用蒙特卡洛(Monte Carlo)数据模拟技术, 在正态分布下讨论不同方法对基于概化理论的方差分量变异量估计的影响。结果表明: Jackknife方法在方差分量变异量估计上不足取; 不采取Bootstrap方法的“分而治之”策略, 从总体上看, Traditional方法和有先验信息的MCMC方法在标准误及置信区间这两个变异量估计上优势明显。     

ACACIA: an agent-based program for simulating behavior to reach long-term goals

We present ACACIA, an agent-based program implemented in Java StarLogo 2.0 that simulates a two-dimensional microworld populated by agents, obstacles and goals. Our program simulates how agents can reach long-term goals by following sensorial-motor couplings (SMCs) that control how the agents interact with their environment and other agents through a process of local categorization. Thus, while acting in accordance with this set of SMCs, the agents reach their goals through the emergence of global behaviors. This agent-based simulation program would allow us to understand some psychological processes such as planning behavior from the point of view that the complexity of these processes is the result of agent–environment interaction.     

篇章阅读的动态理解观和计算机模拟的应用

篇章阅读中信息加工的研究一直是文本心理学以及相关科学研究的热点问题。近几年,篇章阅读的动态理解观和计算机模型的影响力正逐步增大。与先前阅读加工观相比,动态理解观整合了阅读的即时加工和延时表征以及两者之间动态的相互关系,并试图捕捉篇章中的每一概念在整个阅读过程中不断变化的激活情况。利用计算机模型研究阅读加工则不像以往的研究方法都需要利用被试的实际阅读反应,在阅读理论的基础上编制的计算机模型能够模拟出人们阅读中的即时表现和阅读后的记忆内容,模拟的数据与行为学实验结果也非常一致     

动允直接知觉的共鸣原理

传统认知理论认为我们只能间接知觉动允,而生态认知心理学则认为对动允的知觉是个体与环境信息直接共鸣的过程。生态认知心理学首先判定动允并不是存在于我们头脑中的认识,而是实际存在于个体-环境系统中的事实,对动允的直接知觉就是对动允的检测而非推测,是对动允信息的拾取而非对记忆内容的提取。这种直接知觉表现为身体的相关动作机制（动作神经元、肌肉组织等）与环境中动允信息的共鸣。进化与学习在共鸣的形成与发展中具有重要作用。     

汉语确定性无界否定句模拟加工的时间进程

以往关于否定句理解的心理模拟过程是一步完成的还是两步完成的, 结果并不一致, 这与各个研究使用的实验材料类型有关。本研究以汉语确定性无界否定句为研究对象, 采用句-图匹配范式和2(句子类型：汉语确定性无界肯定句和汉语确定性无界否定句) × 2 (图片描绘事物状态与句子描述的事物状态的匹配类型：匹配与不匹配)被试内实验设计, 以对图片判断的反应时和正确率为指标, 探讨其理解的早期(250 ms)、中期(750 ms)和晚期(1500 ms)的心理模拟过程。研究结果表明：确定性无界否定句理解的心理模拟是分两步进行的, 首先模拟的是否定句的被否定状态, 随着加工时间的推进, 完成了对确定性无界否定句的第二步模拟即对实际状态的模拟。但是, 比其他类型否定句的模拟过程所用的时间要短, 即在阅读理解的中期就完成了心理模拟。