Some relationships between factors and components

The asymptotic correlations between the estimates of factor and component loadings are obtained for the exploratory factor analysis model with the assumption of a multivariate normal distribution for manifest variables. The asymptotic correlations are derived for the cases of unstandardized and standardized manifest variables with orthogonal and oblique rotations. Based on the above results, the asymptotic standard errors for estimated correlations between factors and components are derived. Further, the asymptotic standard error of the mean squared canonical correlation for factors and components, which is an overall index for the closeness of factors and components, is derived. The results of a Monte Carlo simulation are presented to show the usefulness of the asymptotic results in the data with a finite sample size.The author is indebted to anonymous referees for their comments, corrections and suggestions which have led to the improvement of this article.     

Variables latentes et propriétés mentales : pour une épistémologie affirmée pragmatiste et réaliste

The reliability of models with latent variables is questioned by different authors: what is the ontology of mental properties? How to integrate the complex of mental processes with latent variables? All these debates raise the question of the legitimacy of latent variables as methodological approach comparatively to new approaches such as Network analysis. By clearly posing the ontological nature of mental properties as emergent properties of mental processes, and by clearly posing a theory of pragmatist and realistic knowledge, our work seeks to show that latent variables are efficient approaches for inferring mental properties.     

Category clustering calculator for free recall

The free recall measure is one of the most popular measures in memory research. Using this measure, researchers can assess not only the amount of recall but also the strategy participants used to recall the material. Category clustering is a strategy participants often use when the input list is categorized. Unfortunately, computing category clustering measures is laborious. The present paper introduces a calculator that computes these measures for each participant using a platform that is accessible to most researchers in an attempt to make these measures more user-friendly.     

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。     

个体变量、材料变量对大学生创造性问题提出能力的影响

研究以139名大学生为被试,采用2(信息素养:高、低)×2(批判性思维倾向:强、弱)×2(信息量:高、低)×2(批判情境:有、无)四因素混合设计,考察个体变量和材料变量对创造性问题提出能力的影响。结果显示:(1)从个体变量看,批判性思维倾向在信息素养预测创造性问题提出能力时起调节作用;(2)从材料变量看,信息量高且含批判情境的材料对创造性问题提出能力有促进作用;(3)个体变量和材料变量在灵活性和独创性上存在交互作用。高信息素养或强批判性思维倾向的被试在含批判情境材料下灵活性、独创性表现更好;低信息素养或弱批判性思维倾向的学生在无批判情境材料下灵活性表现更好,在两种批判情境下独创性无显著差异。     

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。     

Interference by process, not content, determines semantic auditory distraction

Distraction by irrelevant background sound of visually-based cognitive tasks illustrates the vulnerability of attentional selectivity across modalities. Four experiments centred on auditory distraction during tests of memory for visually-presented semantic information. Meaningful irrelevant speech disrupted the free recall of semantic category-exemplars more than meaningless irrelevant sound (Experiment 1). This effect was exacerbated when the irrelevant speech was semantically related to the to-be-remembered material (Experiment 2). Importantly, however, these effects of meaningfulness and semantic relatedness were shown to arise only when instructions emphasized recall by category rather than by serial order (Experiments 3 and 4). The results favor a process-oriented, rather than a structural, approach to the breakdown of attentional selectivity and forgetting: performance is impaired by the similarity of process brought to bear on the relevant and irrelevant material, not the similarity in item content.     

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.