A study of the foundations of ethical decision making of clinical medical ethicists

A study of clinical medical ethicists was conducted to determine the various philosophical positions they hold with respect to ethical decision making in medicine and their various positions' relationship to the subjective-objective controversy in value theory. The study consisted of analyzing and interpreting data gathered from questionnaires from 52 clinical medical ethicists at 28 major health care centers in the United States. The study revealed that most clinical medical ethicists tend to be objectivists in value theory, i.e., believe that value judgments are knowledge claims capable of being true or false and therefore expressions of moral requirements and normative imperatives emanating from an external value structure or moral order in the world. In addition, the study revealed that most clinical medical ethicists are consistent in the philosophical foundations of their ethical decision making, i.e., in decision making regarding values they tend not to hold beliefs which are incompatible with other beliefs they hold about values.     

The second offspring of General Process Learning Theory: Overt behavior as the ambassador of the mind

Wasserman suggested in a recent book review that the study of intervening cognitive processes represents a current focus of interest in animal learning and that this has led to a revitalization of comparative psychology. An examination of the volume reviewed suggests that he may have overstated the case. Most of the authors to whom he refers expressed dissatisfaction with traditional stimulus-response associationism but few argued for the extreme (information processing) sort of cognitive approach described by Wasserman.     

Stimulus discriminability in free-operant and discrete-trial detection procedures.

Six pigeons were trained to discriminate different light intensities in four experimental procedures. Experiment 1 compared stimulus discriminability in a yes-no signal-detection task with discriminability measures obtained from two free-operant procedures. Discriminability estimates were significantly lower in the detection procedure. Experiment 2 showed this lowered discriminability to be a function of the delay between stimulus presentation and the availability of the choice-response keys in the standard detection task. In addition, reinforcement sensitivity was lowest when correct choice responses were intermittently, rather than continuously, reinforced.     

Methodological and theoretical issues in neuropsychological assessment

While there are philosophical and theoretical differences between neuropsychologists and behavior therapists, it is suggested that a significant reconciliation can be achieved in regard to assessment and treatment of the brain-damaged patient. While brain damage is often viewed as an irreversible disorder, there is evidence that substantial recovery of function can occur, particularly when adequate retraining is provided. There are practical and empirical considerations that suggest that neuropsychological tests are currently the best tools available for behavioral assessment of brain-damaged patients. However, the results of these tests can be used not only diagnostically but also to identify target behavioral deficits that may be rehabilitated through systematic retraining efforts. Such rehabilitation efforts can be optimally planned, implemented, and evaluated through an alliance between the neuropsychologist, who identifies the ability and deficit pattern, and the behavior therapist, who devises and evaluates the retraining program. It is possible that the successes of behavior therapy in numerous clinical and educational applications can be repeated in the cases of brain-damaged patients. However, such success would appear to be contingent on appreciation of the high degree of specificity often seen in neurological deficit patterns and the great complexities involved in the relationships between brain function and behavior.     

Considerations in the choice of interobserver reliability estimates

Two types of interobserver reliability values may be needed in treatment studies in which observers constitute the primary data-acquisition system: trial reliability and the reliability of the composite unit or score which is subsequently analyzed, e.g., daily or weekly session totals. Two approaches to determining interobserver reliability are described: percentage agreement and "correlational" measures of reliability. The interpretation of these estimates, factors affecting their magnitude, and the advantages and limitations of each approach are presented.     

Two simple classes of mastery scores based on the beta-binomial model

Two simple classes of mastery scores which are suitable for hand calculations are presented for beta-binomial test score distributions combined with linear and cubic referral success. The models provide a simple way to explore the consequences of selecting an arbitrary mastery score. Such assessment would be useful whenever the test user is not willing to posta priori a loss ratio, but wishes to look at the various consequences before aiming at a particular score.     

Fitting and testing carroll's weighted unfolding model for preferences

A quadratic programming algorithm is presented for fitting Carroll's weighted unfolding model for preferences to known multidimensional scale values. The algorithm can be applied directly to pairwise preferences; it permits nonnegativity constraints on subject weights; and it provides a means of testing various preference model hypotheses. While basically metric, it can be combined with Kruskal's monotone regression to fit ordinal data. Monte Carlo results show that (a) adequacy of true preference recovery depends on the number of data points and the amount of error, and (b) the proportion of data variance accounted for by the model sometimes only approximately reflects true recovery.This study is based on a doctoral dissertation submitted to the University of Illinois at Urbana-Champaign. The author wishes to thank the members of his dissertation committee—Lawrence E. Jones, Chairman, Charles Lewis, Stephen Golding, Ledyard Tucker, and Nancy Wiggins—for their helpful comments.     

理想情感及其影响的跨文化差异

理想情感是人们期望获得的情感状态。情感评估理论认为文化对理想情感的塑造有着重要影响,主要的影响途径有文化体验、文化价值观和社会文化变化。理想情感对个体会产生具有文化特异性的影响,主要会影响个体的偏好及选择行为、混合情绪体验、身心健康和社会认知决策。理想情感研究未来发展可以着眼于4个方向:使用纵向视角研究理想情感,进一步探索理想情感的前因变量,打造适合中国文化的心理健康标准和通过认识理想情感来消除文化隔阂。     

动机的结构与效应：基于动机连续体的视角

动机连续体是对内部动机、外部动机进行整合的心理学概念,其对内部动机和外部动机的争论提出了不同的假设。从大理论(grand theory)视角出发,对涉及上述两个概念的理论进行梳理,将自我决定理论与其他相关理论进行整合。由此展开对内部动机、外部动机结构的讨论,总结了动机的单维结构、多维结构和复杂结构假设下的理论新进展,分别论述在拮抗效应、累加效应和其他复杂效应等假设下动机对结果变量的影响,并展开不同效应对实践应用的讨论。     

Stopping rules for multi-category computerized classification testing

Computerized classification testing (CCT) aims to classify persons into one of two or more possible categories to make decisions such as mastery/non-mastery or meet most/meet all/exceed. A defining feature of CCT is its stopping criterion: the test terminates when there is enough confidence to make a decision. There is abundant research on CCT with a single cut-off, and two common stopping criteria are the sequential probability ratio test (SPRT) statistic and the generalized likelihood ratio statistic (GLR). However, there is a relative scarcity of research extending the SPRT to the multi-hypothesis case for when there is more than one cut-off. In this paper, we propose a new multi-category GLR (mGLR) statistic as well as a stochastically curtailed version of the CCT with three or more categories. A simulation study was conducted to show that the mGLR statistic outperformed the existing stopping rules by generating shorter average test length without sacrificing classification accuracy. Results also revealed that the stochastically curtailed mGLR successfully increased test efficiency in certain testing conditions.