Field Independence and Change Agent Correlation in Emerging Communities of Irian Jaya,Indonesia

Communities that are limited by oral traditions find theological truths communicated by missions a challenge to understand. Currently, linguists work in many of these minority language groups in order to create vital written languages and produce various literature titles that include the Scriptures. Development of a writing system requires indigenous language assistants who are adept in drawing meaning from unfamiliar cultural paradigms and accurately articulating them. Empirical studies in cognitive style conducted among the minority language groups of Irian Jaya, Indonesia show a correlation between field independence (a dimension of cognitive style) and the ability to grasp abstract linguistic concepts. The Brantley/Larsen Test was developed to identify language assistants, also known as change agents, in a culturally appropriate manner for Irian Jaya. Furthermore, this study suggests that the church would benefit from community lay counselors who manifest field independence, which indicates comprehension of abstract and complex linguistic notions found in Scriptures.Indonesia as Organizational Consultant;     

Does Differential Cohort Socialization Matter? The “Age Invariance” Hypothesis and Political Socialization

In classical and contemporary social theory alike, the key to understanding how cultural change comes about has been thought to lie in the long-term effect of differential cohort socialization. Cultural change is thought to proceed as differently socialized cohorts replace each other in the course of time. Moreover, distinct generations have been claimed to emerge. Thisarticle addresses the impact of cohort replacement and the presence of generations, including discussions of the theoretical framework underlying these concepts and the problem of disentangling age, period, and cohort effects. Analyses of Dutch survey data substantiate that cohort membership matters. Yet the impact of cohort replacement on cultural change turns out to be limited, and little evidence is found in support of the idea that specific generations arediscernible.     

Severe Withdrawal (and Recovery)

The problem of how to remove information from an agent's stock of beliefs is of paramount concern in the belief change literature. An inquiring agent may remove beliefs for a variety of reasons: a belief may be called into doubt or the agent may simply wish to entertain other possibilities. In the prominent AGM framework for belief change, upon which the work here is based, one of the three central operations, contraction, addresses this concern (the other two deal with the incorporation of new information). Makinson has generalised this work by introducing the notion of a withdrawal operation. Underlying the account proffered by AGM is the idea of rational belief change. A belief change operation should be guided by certain principles or integrity constraints in order to characterise change by a rational agent. One of the most noted principles within the context of AGM is the Principle of Informational Economy. However, adoption of this principle in its purest form has been rejected by AGM leading to a more relaxed interpretation. In this paper, we argue that this weakening of the Principle of Informational Economy suggests that it is only one of a number of principles which should be taken into account. Furthermore, this weakening points toward a Principle of Indifference. This motivates the introduction of a belief removal operation that we call severe withdrawal. We provide rationality postulates for severe withdrawal and explore its relationship with AGM contraction. Moreover, we furnish possible worlds and epistemic entrenchment semantics for severe withdrawals.     

Why Don't People Change? What Stops Them from Changing? An Integrative Commentary on the Special Issue on Resistance

This commentary discusses the four papers from the vantage point of a cognitive-developmental view. Psychotherapeutic change involving changes in core cognitive structures is seen as threatening an individual's personal sense of identity as well as security and safety needs. Core cognitive constructs are laid down early via the principle of covariation of events and form the basis of our tacit knowledge base. Subsequent changes in this tacit knowledge is difficult because the core cognitive constructs act like a mental filter to screen in confirming data and screen out disconfirming data. Ambiguous stimuli tend to be interpreted on the basis of preexisting cognitive constructs, even when the match between event and interpretation is not ideal. Several suggestions are given for increasing the probability of changes occurring in core cognitive constructs.     

Psychoanalysis and Diplomacy: Part III. Potentials for and Obstacles Against Collaboration

Given the pervasive influence of Realpolitik over government and the study of international relations, and some inherent difficulties within the field of psychoanalysis, it is not surprising that political science and psychoanalysis remain distant cousins. Part III in this series on diplomacy and psychoanalysis discusses obstacles against collaboration between these two disciplines, but also points to areas where collaboration is possible and can be useful.     

老虎保护公众意识态度变化研究

本研究以问卷调查的方式对上海市中学生,中医药大学生、和普通公众的老虎保护意识进行了对比调查和纵向调查,以评估国际野生生物保护协会亚洲保护交流项目的“拯救虎虎”公众意识宣传教育活动的效果。     

A local model of concurrent performance

Concurrent procedures may be conceptualized as consisting of two pairs of schedules with only one pair operating at a time. One schedule of each pair arranges reinforcers for staying in the current alternative, and the other schedule arranges reinforcers for switching to the other alternative. These pairs alternate operation as the animal switches between choices. This analysis of the contingencies suggests that variables operating within an alternative produce behavior that conforms to the generalized matching law. Rats were exposed to one pair of stay and switch schedules in each condition, and the probabilities of reinforcement varied across conditions. Both run length and visit duration were power functions of the ratio of the probabilities of reinforcement for staying and switching. The local model, a model of performance on concurrent procedures, was derived from this power function. Performance on concurrent schedules was synthesized from the performances on the separate pairs. Both the generalized matching law and the local model fitted the synthesized concurrent performances. These results are consistent with the view that the contingencies in the alternative, the probability of stay and switch reinforcement, are responsible for performance consistent with the generalized matching law. These results are compatible with momentary maximizing and molar maximizing accounts of concurrent performance. Models of concurrent performance that posit comparisons among the alternatives are not easily applied to these results.     

Distractor effect on the latent inhibition of conditioned flavor aversion in rats

Using a conditioned flavor aversion procedure with rats as subjects, the effect of the addition of a distractor stimulus on the magnitude of the latent inhibition effect was examined. Experiment 1 showed that latent inhibition to vinegar was attenuated by the addition of sucrose during preexposure. On the other hand, sucrose added during conditioning to vinegar did not attenuate latent inhibition. It was also found that the degree of latent inhibition to the vinegar-sucrose compound solution was less when vinegar alone was preexposed (i.e., when sucrose was added only during conditioning) than when the compound solution was preexposed (i.e., when sucrose was added both during preexposure and during conditioning). Experiment 2 gave similar results but with sucrose assigned as the target flavor and vinegar as the distractor. These findings are in full agreement with the generalization decrement account of latent inhibition.     

Bayesian estimation and testing of structural equation models

The Gibbs sampler can be used to obtain samples of arbitrary size from the posterior distribution over the parameters of a structural equation model (SEM) given covariance data and a prior distribution over the parameters. Point estimates, standard deviations and interval estimates for the parameters can be computed from these samples. If the prior distribution over the parameters is uninformative, the posterior is proportional to the likelihood, and asymptotically the inferences based on the Gibbs sample are the same as those based on the maximum likelihood solution, for example, output from LISREL or EQS. In small samples, however, the likelihood surface is not Gaussian and in some cases contains local maxima. Nevertheless, the Gibbs sample comes from the correct posterior distribution over the parameters regardless of the sample size and the shape of the likelihood surface. With an informative prior distribution over the parameters, the posterior can be used to make inferences about the parameters underidentified models, as we illustrate on a simple errors-in-variables model.We thank David Spiegelhalter for suggesting applying the Gibbs sampler to structural equation models to the first author at a 1994 workshop in Wiesbaden. We thank Ulf Böckenholt, Chris Meek, Marijtje van Duijn, Clark Glymour, Ivo Molenaar, Steve Klepper, Thomas Richardson, Teddy Seidenfeld, and Tom Snijders for helpful discussions, mathematical advice, and critiques of earlier drafts of this paper.     

Fitting direct covariance structures by the MSTRUCT modeling language of the CALIS procedure

This paper demonstrates the usefulness and flexibility of the general structural equation modelling (SEM) approach to fitting direct covariance patterns or structures (as opposed to fitting implied covariance structures from functional relationships among variables). In particular, the MSTRUCT modelling language (or syntax) of the CALIS procedure (SAS/STAT version 9.22 or later: SAS Institute, 2010) is used to illustrate the SEM approach. The MSTRUCT modelling language supports a direct covariance pattern specification of each covariance element. It also supports the input of additional independent and dependent parameters. Model tests, fit statistics, estimates, and their standard errors are then produced under the general SEM framework. By using numerical and computational examples, the following tests of basic covariance patterns are illustrated: sphericity, compound symmetry, and multiple‐group covariance patterns. Specification and testing of two complex correlation structures, the circumplex pattern and the composite direct product models with or without composite errors and scales, are also illustrated by the MSTRUCT syntax. It is concluded that the SEM approach offers a general and flexible modelling of direct covariance and correlation patterns. In conjunction with the use of SAS macros, the MSTRUCT syntax provides an easy‐to‐use interface for specifying and fitting complex covariance and correlation structures, even when the number of variables or parameters becomes large.