Beta-MPT: Multinomial processing tree models for addressing individual differences

Traditionally, multinomial processing tree (MPT) models are applied to groups of homogeneous participants, where all participants within a group are assumed to have identical MPT model parameter values. This assumption is unreasonable when MPT models are used for clinical assessment, and it often may be suspect for applications to ordinary psychological experiments. One method for dealing with parameter variability is to incorporate random effects assumptions into a model. This is achieved by assuming that participants’ parameters are drawn independently from some specified multivariate hyperdistribution. In this paper we explore the assumption that the hyperdistribution consists of independent beta distributions, one for each MPT model parameter. These beta-MPT models are ‘hierarchical models’, and their statistical inference is different from the usual approaches based on data aggregated over participants. The paper provides both classical (frequentist) and hierarchical Bayesian approaches to statistical inference for beta-MPT models. In simple cases the likelihood function can be obtained analytically; however, for more complex cases, Markov Chain Monte Carlo algorithms are constructed to assist both approaches to inference. Examples based on clinical assessment studies are provided to demonstrate the advantages of hierarchical MPT models over aggregate analysis in the presence of individual differences.     

Chess as a Behavioral Model for Cognitive Skill Research: Review of Blindfold Chess by Eliot Hearst and John Knott

This multifaceted work on chess played without sight of the pieces is a sophisticated psychologist's examination of this topic and of chess skill in general, including a detailed and comprehensive historical account. This review builds on Hearst and Knott's assertion that chess can provide a uniquely useful model for research on several issues in the area of cognitive skill and imagery. A key issue is the relationship between viewing a stimulus and mental imagery in the light of blindfold chess masters' consistent reports that they do not use or have images. This review also proposes a methodology for measuring and quantifying an individual's skill shortfall from a theoretical maximum. This methodology, based on a 1951 proposal by Claude Shannon, is applicable to any choice situation in which all the available choices are known. The proposed “Proficiency” measure reflects the equivalent number of “yes—no” questions that would have been required to arrive at a best choice, considering also the time consumed. As the measure provides a valid and nonarbitrary way to compare different skills and the effects of different independent variables on a given skill, it may have a wide range of applications in cognitive skill research, skill training, and education.     

A Signal Detection Model for Multiple-Choice Exams

A model for multiple-choice exams is developed from a signal-detection perspective. A correct alternative in a multiple-choice exam can be viewed as being a signal embedded in noise (incorrect alternatives). Examinees are assumed to have perceptions of the plausibility of each alternative, and the decision process is to choose the most plausible alternative. It is also assumed that each examinee either knows or does not know each item. These assumptions together lead to a signal detection choice model for multiple-choice exams. The model can be viewed, statistically, as a mixture extension, with random mixing, of the traditional choice model, or similarly, as a grade-of-membership extension. A version of the model with extreme value distributions is developed, in which case the model simplifies to a mixture multinomial logit model with random mixing. The approach is shown to offer measures of item discrimination and difficulty, along with information about the relative plausibility of each of the alternatives. The model, parameters, and measures derived from the parameters are compared to those obtained with several commonly used item response theory models. An application of the model to an educational data set is presented.     

工作倦怠的测量及其干预研究综述

工作倦怠不仅会给组织和家庭带来消极的影响,而且会严重损害个体的身心健康,因而有必要采取措施进行干预。文章首先描述工作倦怠的定义,接着对其测量进行介绍,然后在此基础上分析其相关的影响因素,并指出如何实现有效的干预,最后对研究的热点进行了展望。     

混合模式调查下的测量不变性：跨文化视角

混合模式调查收集数据的有效性需以模式间测量等同为前提.以往调查模式间的测量等同研究尚未考虑文化因素的影响.本研究通过两个自我创新能力评价量表,基于中美两国数据,运用多组确认性因子分析法考察了将由网络调查和纸笔调查构成的混合调查模式应用于自我能力和行为评估时的测量等同问题.结果在美国的样本中发现创新能力评价量表在两种调查模式下具有测量不变性,而在中国的样本中只发现强因子测量不变性,提示混合模式调查下测量不等同的出现是调查模式和文化因素共同导致的结果.我们认为,集体主义文化扩大与强化了纸笔调查和网络调查之间的匿名感知差异,进而受访者可能在网络调查中呈现出“满意决策”作答行为或在线下的调查中呈现出“社会称许性作答行为”,从而增加了出现测量不等同的可能性.     

A Minister's Information-Handling

ABSTRACT

One of the roles which ministers perform is that of “caregiver.” Caregiving functions include such activities as visiting parishioners, hearing confessions, and counselling people. These functions are carried out within a legal context. In this paper, two aspects of the parish minister's information handling in respect to his/her role as caregiver are examined. Specific attention is given to the pastor's vulnerability, while carrying out pastoral duties, to civil lawsuits for malpractice and to her/his expectation of privilege against testifying in criminal proceedings. It is observed that in North America, considerable confusion exists over who actually owns and who can control the information a minister acquires and disseminates.     

The response dynamics of preferential choice

The ubiquity of psychological process models requires an increased degree of sophistication in the methods and metrics that we use to evaluate them. We contribute to this venture by capitalizing on recent work in cognitive science analyzing response dynamics, which shows that the bearing information processing dynamics have on intended action is also revealed in the motor system. This decidedly “embodied” view suggests that researchers are missing out on potential dependent variables with which to evaluate their models—those associated with the motor response that produces a choice. The current work develops a method for collecting and analyzing such data in the domain of decision making. We first validate this method using widely normed stimuli from the International Affective Picture System (Experiment 1), and demonstrate that curvature in response trajectories provides a metric of the competition between choice options. We next extend the method to risky decision making (Experiment 2) and develop predictions for three popular classes of process model. The data provided by response dynamics demonstrate that choices contrary to the maxim of risk seeking in losses and risk aversion in gains may be the product of at least one “online” preference reversal, and can thus begin to discriminate amongst the candidate models. Finally, we incorporate attentional data collected via eye-tracking (Experiment 3) to develop a formal computational model of joint information sampling and preference accumulation. In sum, we validate response dynamics for use in preferential choice tasks and demonstrate the unique conclusions afforded by response dynamics over and above traditional methods.     

Psychometric Evidence of a Multidimensional Measure of Prosocial Behaviors for Spanish Adolescents

Prior theories and scholars rarely distinguished between distinct forms of prosocial behaviors (i.e., actions intended to benefit others) and most scholars operationalize prosocial behaviors as a global construct. Furthermore, stringent tests of psychometric properties of prosocial behavior measures are rare, especially in countries other than the United States. The present study was designed to examine the structure and functions of a multidimensional measure of prosocial behaviors in youth from Spain. Six hundred and 66 adolescents (46% girls; M age = 15.33 years, SD = 0.47 years) from Valencia, Spain, completed the Prosocial Tendencies Measure-Revised (PTM-R), measures of sympathy, perspective taking, and a global measure of prosocial behavior. Results showed that the hypothesized 6-factor structure of the PTM-R had good fit, the best fit model as compared to alternative models, and that there were several unique patterns of relations between specific forms of prosocial behaviors and sympathy, perspective taking, and the global measure of prosocial behavior. Furthermore, although there were significant gender differences in some forms of prosocial behaviors, the structure of the PTM-R was equivalent across gender. Discussion focuses on the implications for theories and measurement of prosocial behaviors.