无意识目标启动的定义、机制及应用

无意识目标与社会态度、刻板印象和图式等一样, 是行为的满意状态或结果在个体头脑中的一种表征, 包含有目标设定、追求情境和追求手段等内容。这些内容能够被环境中的刺激自动激活, 在意识不到的情况下影响人的心理和行为。无意识目标启动的概念和其他心理表征的启动不同, 无意识目标启动能够促使带有动机性的行为出现, 启动线索的影响不会随着时间的推移而消失。无意识目标启动的自变量与自身心理状态和环境中他人的影响有关, 无意识目标启动的因变量与任务表现和社会关系的处理有关。“知觉-行为模型”、“无意识行为选择模型”、“评价准备模型”和“情感因素模型”能够分别从“无意识”和“目标”两个角度对无意识目标启动的心理机制进行解释。无意识目标启动原理在商业、教育、医疗等领域当中有着广泛的应用前景, 为了更好地完善理论研究和进行实际应用, 今后应该更加重视无意识目标启动的脑机制研究。     

Elimination problems in logic: a brief history

A common aim of elimination problems for languages of logic is to express the entire content of a set of formulas of the language, or a certain part of it, in a way that is more elementary or more informative. We want to bring out that as the languages for logic grew in expressive power and, at the same time, our knowledge of their expressive limitations also grew, elimination problems in logic underwent some change. For languages other than that for monadic second-order logic, there remain important open problems.     

公共领域中的集群效能研究述评

公共领域中的集群效能是指公众通过分享所在地区的公共信任和社会凝聚力, 从而对于共同努力实现所在地区特定目标的一种集体信念和预期。公共领域中的集群效能有其独特的测量方法和研究结论, 集群效能的相关前因变量可以分为社会认同、社会经济地位和社会参与, 集群效能的相关影响作用研究可以分为公共安全、政治行为、公共卫生三个领域内的研究。文章最后指出未来在公共领域中集群效能研究有必要加强作用机制、动态变化等方面的探讨。     

儿童4岁时自我延迟满足能力对其9岁时学校社会交往能力预期的追踪

采用追踪研究,用实验室实验和情境观察相结合的方法考察了54名儿童4岁时的自我延迟满足能力,5年后结合教师访谈与评定、同伴提名、儿童自评等方法综合评定这些儿童9岁时的学校社会交往能力,探讨儿童4岁时自我延迟满足能力对其9岁时学校社会交往能力的预期作用。结果表明：儿童4岁时的自我延迟满足能力水平可以预期其9岁时的学校社会交往能力水平。4岁时自我延迟满足能力高的儿童在9岁时的学校社会交往能力总体发展也好,其遵守规则与执行任务能力、与教师交往能力、与同伴交往能力、社交情绪发展水平都显著高于那些在4岁时自我延迟满足能力低的儿童;反之则差     

The Relationship Between Adolescents’ Attitudes Toward Their Fathers and Loneliness: A Cross-Cultural Study

Loneliness can be regarded as an epidemic of modern society that is becoming increasingly problematic for millions of people. Adolescents are particularly susceptible to the development of this kind of emotional distress. Although many causes of loneliness can be identified, some researchers are of the opinion that it can also be attributed to unpleasant childhood experiences that result in unfulfilled needs relating to intimacy. In this research study, the relationship between loneliness and adolescents’ attitudes towards their fathers was investigated. In order to achieve this goal, information was gathered from 1068 South African respondents. Biographical questionnaires were administered and a Loneliness Scale was applied. In addition, adolescents’ attitudes towards their fathers were measured by means of a Fathers Questionnaire. Steps were taken to determine which of the independent variables, namely gender, age, race, language and socio-economic status, contributed significantly to the prediction of loneliness. In order to process the acquired information, a stepwise multiple regression analysis was conducted. The most important finding of this study is that adolescents’ attitudes towards their fathers comprise the most prominent predictor of loneliness during adolescence. The results also indicated that all of the independent variables had a statistically significant influence on loneliness.     

Net Amount of Food Affects Autoshaped Response Rate, Response Latency, and Gape Amplitude in Pigeons

The contribution of net amount of food to conditioned response strength and topography was assessed in four pigeons under autoshaping contingencies. In each session, under one baseline phase and three replication phases, three trial types were presented sequentially: One conditioned stimulus (keylight) signaled one small pellet, another signaled one large pellet, and a third signaled seven small pellets which were weight-matched to one large pellet. Five dependent variables were response rates and latencies based on the occurrence of both keyswitch closures and gapes (beak openings) and gape amplitudes. In result, net amount of food, not pellet diameter or number, affected all dependent variables. Notably, gape amplitudes elicited by the seven-small pellet keylights were larger than the gape amplutides elicited by the one-small pellet keylights even though the gape amplitudes elicited by both unconditioned stimuli (one or seven pellets) were equally small. This mismatch between conditioned and unconditioned responses is incompatible with stimulus substitution accounts but is compatible with an associative strength account. Furthermore, the changes in the dependent variables were most likely determined by Pavlovian and not by inadvertent operant contingencies. The findings demonstrate that an analysis of classical conditioning benefits from the inclusion of topographical measures.     

Comparing variances of correlated variables

A test is proposed for the equality of the variances ofk 2 correlated variables. Pitman's test fork = 2 reduces the null hypothesis to zero correlation between their sum and their difference. Its extension, eliminating nuisance parameters by a bootstrap procedure, is valid for any correlation structure between thek normally distributed variables. A Monte Carlo study for several combinations of sample sizes and number of variables is presented, comparing the level and power of the new method with previously published tests. Some nonnormal data are included, for which the empirical level tends to be slightly higher than the nominal one. The results show that our method is close in power to the asymptotic tests which are extremely sensitive to nonnormality, yet it is robust and much more powerful than other robust tests.This research was supported by the fund for the promotion of research at the Technion.     

An alternative two stage least squares (2SLS) estimator for latent variable equations

The Maximum-likelihood estimator dominates the estimation of general structural equation models. Noniterative, equation-by-equation estimators for factor analysis have received some attention, but little has been done on such estimators for latent variable equations. I propose an alternative 2SLS estimator of the parameters in LISREL type models and contrast it with the existing ones. The new 2SLS estimator allows observed and latent variables to originate from nonnormal distributions, is consistent, has a known asymptotic covariance matrix, and is estimable with standard statistical software. Diagnostics for evaluating instrumental variables are described. An empirical example illustrates the estimator. I gratefully acknowledge support for this research from the Sociology Program of the National Science Foundation (SES-9121564) and the Center for Advanced Study in the Behavioral Sciences, Stanford, California. This paper was presented at the Interdisciplinary Consortium for Statistical Applications at Indiana University at Bloomington (March 2, 1994) and at the RMD Conference on Causal Modeling at Purdue University, West Lafayette, Indiana (March 3-5, 1994).     

A note on distributional properties of the Jöreskog-Sörbom fit indices

In introducing the LISREL model for systems of linear structural equations, Jöreskog and Sörbom proposed two goodness-of-fit indices, GFI and AGFI. Their asymptotic distributions and some statistical properties are discussed.The authors would like to acknowledge the helpful comments and suggestions from the Associate Editor and two anonymous reviewers.     

Some contributions to efficient statistics in structural models: Specification and estimation of moment structures

Current practice in structural modeling of observed continuous random variables is limited to representation systems for first and second moments (e.g., means and covariances), and to distribution theory based on multivariate normality. In psychometrics the multinormality assumption is often incorrect, so that statistical tests on parameters, or model goodness of fit, will frequently be incorrect as well. It is shown that higher order product moments yield important structural information when the distribution of variables is arbitrary. Structural representations are developed for generalizations of the Bentler-Weeks, Jöreskog-Keesling-Wiley, and factor analytic models. Some asymptotically distribution-free efficient estimators for such arbitrary structural models are developed. Limited information estimators are obtained as well. The special case of elliptical distributions that allow nonzero but equal kurtoses for variables is discussed in some detail. The argument is made that multivariate normal theory for covariance structure models should be abandoned in favor of elliptical theory, which is only slightly more difficult to apply in practice but specializes to the traditional case when normality holds. Many open research areas are described.