心算应激与特质焦虑、应对风格的关系

选取38名大学生为被试,采用BIOPAC多导生理记录仪,探讨心算应激对不同人格特质和应对风格的大学生心率（HR）、心率变异性（HRV）及皮肤电反应（GSR）的影响。实验采取2（人格特质：特质焦虑、非特质焦虑）×2（应对风格：注重情绪的应对、注重问题的应对）×3（实验阶段：基线期、任务期、恢复期）的三因素混合设计,要求所有被试经历5分钟的基线期、10分钟的心算任务期和5分钟的恢复期。结果表明：（1）特质焦虑的个体和注重情绪应对的个体在心算应激后的短时间内难以恢复到基线期的生理水平;（2）特质焦虑且注重情绪应对的个体在HR、HF、LF/HF及GSR上表现出明显强的反应性和弱的恢复性;（3）非特质焦虑且注重问题应对的个体在HF和GSR上表现出明显弱的反应性,在LF/HF和GSR上表现出明显强的恢复性。     

Methodische Grundlagen der Kriminalprognose

Zusammenfassung   Gesetzestexte sehen bei bestimmten strafrechtlichen Entscheidungen die Unterstützung des Richters durch Prognosegutachter vor. Ihre Aufgabe ist es, die Rechtsentscheidung in ihren prognostischen Aspekten auf eine rationale, wissenschaftlich fundierte Grundlage zu stellen. Methodisch lassen sich dabei wissenschaftlich fundierte Prognosen auf unterschiedlichen Wegen erstellen. Der eine Weg beruht auf empirisch gesicherten Erfahrungen über die Rückf?lligkeit von T?tern und über die die Rückfallwahrscheinlichkeit beeinflussenden Tat- und T?termerkmale. Prognosemethoden nach diesem Modell bemühen sich, diese Erfahrungen auch für individualprognostische Zwecke nutzbar zu machen. Der andere Weg führt über eine systematische retrospektive Analyse der individuellen Ursachen der bisherigen Delinquenz des T?ters und schreibt diese individuellen Bezüge prognostisch fort. Prognosemethoden nach diesem Modell bemühen sich vor allem, den erforderlichen Urteilsbildungsprozess zu systematisieren und eine hinreichende Beurteilungsgrundlage zu gew?hrleisten. Der vorliegende Beitrag stellt beide Ans?tze in ihren methodischen Grundzügen und wissenschaftlichen Bew?hrungen vor und diskutiert ihre jeweiligen Vorzüge und Begrenzungen im Kontext der Mindestanforderungen für Prognosegutachten im Strafrecht.      

瑞文测验项目认知难度因素分析及LLTM拟合验证

该文在以认知和测量相结合为特征的新一代测验理论的指导下,针对项目刺激特征,对影响瑞文测验项目认知难度的因素进行了分析,提取出图块繁简度、整体布局、变化维度和题序等4个因素,然后应用线性逻辑潜在特质模型（LLTM）对这四个因素进行了拟合检验,结果证明提取出的四个因素是有效的。文章还进一步探讨了研究结果在智力测验中的应用。     

Exposure to community violence and social support as predictors of anxiety and social and emotional behavior among African American children

We examined the effects of exposure to violence and social support on self-reported state and trait anxiety and parental rated problem behaviors among school-aged African-American children in low and high violence areas. Ninety-seven (97) fourth through sixth graders and their parents were interviewed about exposure to community violence, social support, and state and trait anxiety. Results indicate that trait anxiety was correlated positively with exposure to violence and negatively with social support. State anxiety was correlated negatively with family social support. Problem behaviors were correlated negatively with family support and income. Hierarchial multiple regression analyses indicated that children's reports of their exposure to community violence continued to explain significant variability in trait anxiety, and problem behavior after controlling for both income and social support measures. Social support from peers, family and teachers played differential roles in predicting problem behaviors among children from high and lower violence areas. These findings suggest that in planning intervention programs for children exposed to violence, greater attention to empowering parents to support their children, to fostering peer group support, and to bolstering teacher support may be useful, but attention to the underlying socio-political causes of violence exposure is essential.     

Acceleration model in the heterogeneous case of the general graded response model

A new model, called acceleration model, is proposed in the framework of the heterogenous case of the graded response model, based on processing functions defined for a finite or enumerable number of steps. The model is expected to be useful in cognitive assessment, as well as in more traditional areas of application of latent trait models. Criteria for evaluating models are proposed, and soundness and robustness of the acceleration model are discussed. Graded response models based on individual choice behavior are also discussed, and criticisms on model selection in terms of fitnesses of models to the data are also given.This research was supported by the Office of Naval Research (N00014-90-J-1456).     

Models for measurement,precision, and the nondichotomization of graded responses

It is common in educational, psychological, and social measurement in general, to collect data in the form of graded responses and then to combine adjacent categories. It has been argued that because the division of the continuum into categories is arbitrary, any model used for analyzing graded responses should accommodate such action. Specifically, Jansen and Roskam (1986) enunciate ajoining assumption which specifies that if two categoriesj andk are combined to form categoryh, then the probability of a response inh should equal the sum of the probabilities of responses inj andk. As a result, they question the use of the Rasch model for graded responses which explicitly prohibits the combining of categories after the data are collected except in more or less degenerate cases. However, the Rasch model is derived from requirements of invariance of comparisons of entities with respect to different instruments, which might include different partitions of the continuum, and is consistent with fundamental measurement. Therefore, there is a strong case that the mathematical implication of the Rasch model should be studied further in order to understand how and why it conflicts with the joining assumption. This paper pursues the mathematics of the Rasch model and establishes, through a special case when the sizes of the categories are equal and when the model is expressed in the multiplicative metric, that its probability distribution reflects the precision with which the data are collected, and that if a pair of categories is collapsed after the data are collected, it no longer reflects the original precision. As a consequence, and not because of a qualitative change in the variable, the joining assumption is destroyed when categories are combined. Implications of the choice between a model which satisfies the joining assumption or one which reflects on the precision of the data collection considered are discussed.     

Resilience in siblings of children with sickle cell disease

This pilot study was conducted to identify factors responsible for promoting resilience in siblings of children with sickle cell disease. Twenty siblings (10–17 years of age) of children (5–13 years) with sickle cell disease were selected from the Pediatric Clinic of Howard University Center for Sickle Cell Disease. The siblings responded to questionnaires, and the data obtained was analyzed by chi-square for association. The results indicated that age, birth order, and gender had no effect on resilience in the siblings. However, family size, number of parents in the home, sibling's knowledge of the illness, degree of morbidity of the illness, socioeconomic status of the family, and parents' attitudes and childrearing practices were all found to affect resilience. These findings provide additional insight into the psychosocial aspects of, and genetic counseling for sickle cell disease, as well as for other chronic genetic disorders.     

Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling

Normal assumptions have been used in many psychometric methods, to the extent that most researchers do not even question their adequacy. With the rapid advancement of computer technologies in recent years, psychometrics has extended its territory to include intensive cognitive diagnosis, etcetera, and substantive mathematical modeling ha become essential. As a natural consequence, it is time to consider departure from normal assumptions seriously. As examples of models which are not based on normality or its approximation, the logistic positive exponent family of models is discussed. These models include the item task complexity as the third parameter, which determines the single principle of ordering individuals on the ability scale.     

Unbiased estimators of ability parameters,of their variance,and of their parallel-forms reliability

Given known item parameters, unbiased estimators are derived i) for an examinee's ability parameter and for his proportion-correct true score, ii) for the variances of and across examinees in the group tested, and iii) for the parallel-forms reliability of the maximum likelihood estimator .This work was supported in part by contract N00014-80-C-0402, project designation NR 150-453 between the Office of Naval Research and Educational Testing Service. Reproduction in whole or in part is permitted for any purpose of the United States Government.