An overview of applied robust methods

Data in social sciences are typically non-normally distributed and characterized by heavy tails. However, most widely used methods in social sciences are still based on the analyses of sample means and sample covariances. While these conventional methods continue to be used to address new substantive issues, conclusions reached can be inaccurate or misleading. Although there is no ‘best method’ in practice, robust methods that consider the distribution of the data can perform substantially better than the conventional methods. This article gives an overview of robust procedures, emphasizing a few that have been repeatedly shown to work well for models that are widely used in social and behavioural sciences. Real data examples show how to use the robust methods for latent variable models and for moderated mediation analysis when a regression model contains categorical covariates and product terms. Results and logical analyses indicate that robust methods yield more efficient parameter estimates, more reliable model evaluation, more reliable model/data diagnostics, and more trustworthy conclusions when conducting replication studies. R and SAS programs are provided for routine applications of the recommended robust method.     

Girls’ perceptions of their mothers at work and home: Warm does not mean weak

Upper elementary school girls were surveyed about their mothers’ and fathers’ warmth, competence, and agency at home and how they imagine their parents at work. Mothers’ warmth at home was positively correlated with perceived competence and agency both at home and at work. Differences between daughters’ perceptions of their mothers and fathers at work are discussed.     

A bioinspired model of short-term satiety of hunger influenced by food properties in virtual creatures

The behavior of the human is continually changed as a consequence of various drives which human is predisposed also of your survival instinct. Among the basic drives of the human, there are the physiological needs and is precisely the hunger that motivates the food intake to get the energy that the body requires via food. The regulation of hunger allows to stop the food intake by means of the homeostatic and hedonic control which are influenced by the food properties. The process that consists of ending the food intake is known as short-term satiety and is important because it limits the amount of food intake; Otherwise, an over-consumed affect the organism functioning negatively. In this paper, we propose a conceptual model for the generation of short-term satiety behaviors based on neuroscientific evidence for virtual creatures. The conceptual model proposed is implemented in a distributed system-a virtual creature endowed with this implementation is placed in a virtual environment to analyze its behavior. The analysis shows how the virtual creature modifies its hunger level (behavior) based on food’s properties. The results show the execution of the process when the creature interacts with the environment.     

限制性饮食者对食物线索的注意偏向：基于目标矛盾理论模型

采用点探测变式探讨了120名成功和失败女性限制性饮食者对两类食物线索的注意偏向机制。结果发现, 当只启动享乐目标时, 成功的限制者存在对美味食物线索的注意回避, 失败的限制者存在对美味食物线索的注意脱离困难; 当相继启动享乐目标和节食目标时, 成功和失败两类限制者均存在对美味食物线索的注意回避, 但失败者仍然存在注意脱离困难。从目标矛盾模型理论对实验结果进行了讨论。     

An approximation for the bias function of the maximum likelihood estimate of a latent variable for the general case where the item responses are discrete

Lord developed an approximation for the bias function for the maximum likelihood estimate in the context of the three-parameter logistic model. Using Taylor's expansion of the likelihood equation, he obtained an equation that includes the conditional expectation, given true ability, of the discrepancy between the maximum likelihood estimate and true ability. All terms of orders higher thann ^?1 are ignored wheren indicates the number of items. Lord assumed that all item and individual parameters are bounded, all item parameters are known or well-estimated, and the number of items is reasonably large. In the present paper, an approximation for the bias function of the maximum likelihood estimate of the latent trait, or ability, will be developed using the same assumptions for the more general case where item responses are discrete. This will include the dichotomous response level, for which the three-parameter logistic model has been discussed, the graded response level and the nominal response level. Some observations will be made for both dichotomous and graded response levels.     

特质愤怒对攻击行为的影响:敌意认知和冲动性水平有调节的中介作用

通过对重庆某综合大学大一到大三527名学生的问卷调查, 运用结构方程模型技术考察了特质愤怒、敌意认知、冲动性水平和攻击行为之间的关系。结果发现:(1)敌意认知在特质愤怒和攻击行为之间起部分中介的作用, 特质愤怒既对攻击行为产生直接影响, 也通过敌意认知对攻击行为产生间接影响;(2)运动冲动性因子对敌意认知的中介作用起到调节作用, 即敌意认知对攻击行为的影响随着个体冲动性水平的增加而提升;敌意认知对个体的攻击行为起着有调节的中介作用。