Hierarchical Model of Generalized and Specific Vulnerabilities in Anxiety

This study evaluated a theoretical hierarchical relationship among the general anxiety vulnerability variable of neuroticism, the specific vulnerability variables of anxiety sensitivity and intolerance of uncertainty, and variables reflecting specific anxiety foci including panic symptoms, health anxiety, obsessive-compulsive symptoms and generalized anxiety/worry. Questionnaires assessing these variables were administered to a non-clinical sample of 91 first-year psychology students (64.8% women). Path analysis results were highly consistent with the hypothesized hierarchical model. Neuroticism was found to have a significant direct effect on both anxiety sensitivity and intolerance of uncertainty. Both neuroticism and anxiety sensitivity had direct significant effects on panic symptoms, neuroticism and intolerance of uncertainty both made significant direct contributions to the prediction of worry, and neuroticism made a significant direct contribution to the prediction of obsessive-compulsive symptoms. Contrary to the hypothesized model, anxiety sensitivity but not neuroticism uniquely predicted health anxiety. The results of this study provide initial empirical evidence for a hierarchical relationship among general and specific vulnerabilities, and specific anxiety manifestations.     

Estimation of the MIRID: A program and a SAS-based approach

The MIRID CML program is a program for the estimation of the parameter values of two different componential IRT models: the Rasch—MIRID and the OPLM—MIRID (Butter, 1994; Butter, De Boeck, & Verhelst, 1998). To estimate the parameters of both models, the program uses a CML approach. The model parameters can also be estimated with a MML approach that can be implemented in PROC NLMIXED of SAS Version 8. Both the MIRID CML program and the MML SAS approach are explained and compared in a simulation study. The results showed that they did about equally well in estimating the values of the item parameters but that there were some differences in the estimation of the person parameters, as could be expected from the differential assumptions regarding the distribution of the persons. The SAS MML approach is much slower than the MIRID CML program, but it is more flexible.     

Bayesian Hierarchical Multivariate Formulation with Factor Analysis for Nested Ordinal Data

This article devises a Bayesian multivariate formulation for analysis of ordinal data that records teacher classroom performance along multiple dimensions to assess aspects characterizing good instruction. Study designs for scoring teachers seek to measure instructional performance over multiple classroom measurement event sessions at varied occasions using disjoint intervals within each session and employment of multiple ratings on intervals scored by different raters; a design which instantiates a nesting structure with each level contributing a source of variation in recorded scores. We generally possess little a priori knowledge of the existence or form of a sparse generating structure for the multivariate dimensions at any level in the nesting that would permit collapsing over dimensions as is done under univariate modeling. Our approach composes a Bayesian data augmentation scheme that introduces a latent continuous multivariate response linked to the observed ordinal scores with the latent response mean constructed as an additive multivariate decomposition of nested level means that permits the extraction of de-noised continuous teacher-level scores and the associated correlation matrix. A semi-parametric extension facilitates inference for teacher-level dependence among the dimensions of classroom performance under multi-modality induced by sub-groupings of rater perspectives. We next replace an inverse Wishart prior specified for the teacher covariance matrix over dimensions of instruction with a factor analytic structure to allow the simultaneous assessment of an underlying sparse generating structure. Our formulation for Bayesian factor analysis employs parameter expansion with an accompanying post-processing sign re-labeling step of factor loadings that together reduce posterior correlations among sampled parameters to improve parameter mixing in our Markov chain Monte Carlo (MCMC) scheme. We evaluate the performance of our formulation on simulated data and make an application for the assessment of the teacher covariance structure with a dataset derived from a study of middle and high school algebra teachers.     

Analysis of School Context Effects on Differential Item Functioning Using Hierarchical Generalized Linear Models

This article considers and illustrates a strategy to study effects of school context on differential item functioning (DIF) in large-scale assessment. The approach employs a hierarchical generalized linear modeling framework to (a) detect DIF, and (b) identify school-level correlates of the between-group differences in item performance. To illustrate, I investigated (a) whether any of the civic skills items used in the U.S. Civic Education Study of the International Association for the Evaluation of Educational Achievement displayed ethnic–racial DIF, and (b) the extent to which the ethnic–racial DIF was related to teacher-reported opportunity to learn (OTL) major civic-related topics. The results indicated that 3 of the 13 items displayed ethnic–racial DIF. After adjusting for OTL, two of the three flagged items ceased to exhibit DIF. Implications of this approach are discussed.     

层次化护理团队在优质护理服务中的应用探讨

将所研究的临床科室的护理人员按照职称进行分层并组成护理团队.1年后比较实施前后护理质量和护理服务质量的相关指标.实施后,护理质量和护理服务质量均有显著提高(P＜0.01).临床科室组建层次化优质护理团队,能为患者提供更为安全、满意的护理服务,推动优质护理服务的开展.     

Realization and the Formulation of Physicalism

Twenty years ago, Richard Boyd suggested that physicalism could be formulated by appeal to a notion of realization, with no appeal to the identity of the non-physical with the physical. In (Melnyk 2003), I developed this suggestion at length, on the basis of one particular account of realization. I now ask what happens if you try to formulate physicalism on the basis of other accounts of realization, accounts due to LePore and Loewer and to Shoemaker. Having explored two new formulations of physicalism, I conclude that my 2003 formulation remains the most promising.     

护士分层级使用和管理模式在优质护理中的应用研究

在优质护理服务中实施连班制的弹性排班实现护士分层级使用和管理模式,以探讨更合理、科学的护理管理模式.根据护士的学历、职称、技能、临床经验;患者的病情、工作强度、技术难度、操作风险对护士进行动态调配.分层次使用和管理,即在病区实行“护士长→护理组长→责任护士→助理护士”4个层级管理结构,分层级不分等级,均衡年轻护士和老护士.同时考虑到护士的业务技术,胜任能力相匹配,实现护士人力资源最优化的配置,满足患者的需求,提供优质护理服务.实施后护理文书书写时间较实施前明显减少,基础护理、健康教育时间较实施前明显增加,护理质量,满意度明显优于实施前(P＜0.05),差异有统计学意义.实施护士分层级使用及管理模式真正体现护士能级对应,使现有的人力资源得到了优化配置,提高满意度,保证护理质量,切实符合临床实际护理工作的需要.护士专业价值得到真正的体现,有利于护理人才的培养与护理梯队建设,护理学科的发展.     

Application of the Generalized Matching Law for Description of Student Behavior in the Classroom

Matching law and theory have applied implications for classroom instruction and student behavior. The Generalized Matching Law (GML) is examined in this exploratory study to assess its utility for quantitatively describing student behavior in the classroom. Data were collected using computer-based observational software. Time-lag sequential analysis was used to identify specific teacher behaviors following specific student behaviors as estimates of reinforcement. Derived rates of student and teacher behaviors were analyzed in a linear regression of the natural logarithmic form of the GML. On average, the GML described over 70% of the variance in two students' behavior in a first-grade regular education classroom. Discussion addresses the potential utility of the GML for observation and intervention in the classroom.     

Hierarchical causes in the cosmological argument

I would like to thank Linda Zagzebski for her very helpful comments on an earlier version of this paper.     

Hierarchical schemas and goals in the control of sequential behavior

Traditional accounts of sequential behavior assume that schemas and goals play a causal role in the control of behavior. In contrast, M. Botvinick and D. C. Plaut argued that, at least in routine behavior, schemas and goals are epiphenomenal. The authors evaluate the Botvinick and Plaut account by contrasting the simple recurrent network model of Botvinick and Plaut with their own more traditional hierarchically structured interactive activation model (R. P. Cooper & T. Shallice, 2000). The authors present a range of arguments and additional simulations that demonstrate theoretical and empirical difficulties for both Botvinick and Plaut's model and their theoretical position. The authors conclude that explicit hierarchically organized and causally efficacious schema and goal representations are required to provide an adequate account of the flexibility of sequential behavior.     

Automatic and Controlled Processes in the Analytisis of Hierarchical Structure

Targets are identified faster if they appear at the same level (global vs. local) as the target on the previous trial. This effect has been attributed to a controlled attentional process wherein participants attend to the level containing the target on trial n − 1, thus facilitating performance if target level repeats on trial n. An alternative explanation (Lamb & Yund, 1966) is that automatic activation of level-specific neural mechanisms is responsible. The controlled-process hypothesis predicts better performance whenever target level is predictable, because participants can anticipate, and thus attend to, the appropriate level. The automatic-process hypothesis predicts better performance when target level repeats, regardless of target-level predictability. In the present studies, level repetitions facilitated performance regardless of target-level predictability. The data support the automatic-process explanation of level repetition and other attentional effects. The data illustrate how an automatic process can give rise to performance that seems to reflect more cognitive or strategic mechanisms.     

Hierarchical coding in the perception and memory of spatial layouts

Two experiments were performed to investigate the organization of spatial information in perception and memory. Participants were confronted with map-like configurations of objects which were grouped by color (Experiment 1) or shape (Experiment 2) so as to induce cognitive clustering. Two tasks were administered: speeded verification of spatial relations between objects and unspeeded estimation of the Euclidean distance between object pairs. In both experiments, verification times, but not distance estimations, were affected by group membership. Spatial relations of objects belonging to the same color or shape group were verified faster than those of objects from different groups, even if the spatial distance was identical. These results did not depend on whether judgments were based on perceptually available or memorized information, suggesting that perceptual, not memory processes were responsible for the formation of cognitive clusters. Received: 7 October 1999 / Accepted: 17 February 2000     

Generalized Change and the Meaning of Rationality Postulates

The standard theory of belief revision was developed to describe how a rational agent should change his beliefs in the presence of new information. Many interesting tools were created, but the concept of rationality was usually assumed to be related to classical logics. In this paper, we explore the fact that the logical tools used can be extended to other sorts of logics, as proved in (Hansson and Wassermann, 2002), to describe models that are closer to the rationality of a real agent. This revised version was published online in August 2006 with corrections to the Cover Date.     

道德判断的分级现象

Blair(1996)发现即使没有心理理论的孤独症儿童,也具备道德判断能力。而Kahn(2004)认为没有心理理论就不可能完成道德判断。已有研究表明,道德判断可能需要一定程度的心理理论。孤独症儿童心理理论存在困难,影响他们理解道德情景并进行正确的道德判断,但这是否与任务的要求道德判断能力的程度不同有关呢?研究增加道德情景的复杂程度,进一步考察儿童道德判断规律。结果发现,道德判断有分级现象,第一级是直接对道德行为进行判断,孤独症和正常儿童都能完成该任务,可能是以原始情绪为基础的;第二级道德判断是对简单道德情景进行判断,需要以心理理论为基础,只有正常儿童才能完成;而对行为与意图不一致的复杂道德判断则需要以更加丰富的经历或者经验为基础,但其属于三级道德判断还是二级道德判断的高级形式还需要进一步的研究。     

Hierarchical models of behavior and prefrontal function

The recognition of hierarchical structure in human behavior was one of the founding insights of the cognitive revolution. Despite decades of research, however, the computational mechanisms underlying hierarchically organized behavior are still not fully understood. Recent findings from behavioral and neuroscientific research have fueled a resurgence of interest in the problem, inspiring a new generation of computational models. In addition to developing some classic proposals, these models also break fresh ground, teasing apart different forms of hierarchical structure, placing a new focus on the issue of learning and addressing recent findings concerning the representation of behavioral hierarchies within the prefrontal cortex. In addition to offering explanations for some key aspects of behavior and functional neuroanatomy, the latest models also pose new questions for empirical research.     

Religion Generalized and Naturalized

Much of contemporary scholarly opinion rejects the attempt to construct a general theory of religion (that is, its origin, structure, and functions). This view says that particular religious traditions are unique, sui generis , incommensurable, and cannot therefore be generalized. Much of contemporary opinion also rejects the attempt to explain religious phenomena using the categories and concepts of the natural and social sciences. This view says that the phenomena of religion cannot be understood apart from a recognition of "the sacred," or some element of transcendence, implying that religion cannot be naturalized. This article begins to show how the phenomena of religion can be both generalized and naturalized.     

Hierarchical stages in the processing of visual information

Attention, Perception, & Psychophysics - Previous research had indicated that when subjects are instructed to report one of a number of visually displayed items, both the number and spacing of...