Desired personality traits in politicians: Similar to me but more of a leader

What makes voters prefer a certain type of politician? First, we argue that voters’ trait preferences follow a “desired leadership” principle. We show that citizens want the ideal-type politician to be more emotionally stable, extravert-assertive, more deliberate-conscientious and open, more honest, but also somewhat more disagreeable than the average citizen. Second, we argue that voters prefer a model candidate with similar basic value-related personality traits. Importantly, we show that trait congruence is partly mediated by core ideological preferences and thus ensures democratic representation. The study’s findings have implications for personalization of politics and democratic representation, because personality traits can be vital cues for voters deciding whether candidates will act in their interest and represent them well.     

Modeling developmental transitions on the balance scale task

Periods of relatively stable, rule‐like behavior alternated with short transition periods characterize cognitive development on reasoning tasks like the balance scale task. Each transition gives rise to an improvement in behavior, until a phase is reached in which performance is flawless or improvement is not worthwhile given the necessary extra effort. Several computational models have been developed to capture the developmental phenomena associated with the balance scale task. These models, which originate from different computational traditions, explain the main phenomena of development. Recently, empirical phenomena have been reported that these models cannot easily accommodate. We propose a computational model that is implemented in ACT‐R and that is based on the evaluation of success of applied knowledge, combined with a mechanism to construct newknowledge by searching for differences between the left‐ and right‐hand sides of presented balance scale problems. This model accounts for the main empirical phenomena as well as for the recently reported empirical phenomena such as learning without feedback.     

An accumulator model for responses and response times in tests based on the proportional hazards model

Latent trait models for responses and response times in tests often lack a substantial interpretation in terms of a cognitive process model. This is a drawback because process models are helpful in clarifying the meaning of the latent traits. In the present paper, a new model for responses and response times in tests is presented. The model is based on the proportional hazards model for competing risks. Two processes are assumed, one reflecting the increase in knowledge and the second the tendency to discontinue. The processes can be characterized by two proportional hazards models whose baseline hazard functions correspond to the temporary increase in knowledge and discouragement. The model can be calibrated with marginal maximum likelihood estimation and an application of the ECM algorithm. Two tests of model fit are proposed. The amenability of the proposed approaches to model calibration and model evaluation is demonstrated in a simulation study. Finally, the model is used for the analysis of two empirical data sets.     

Comparing score tests and other local dependence diagnostics for the graded response model

Score tests for identifying locally dependent item pairs have been proposed for binary item response models. In this article, both the bifactor and the threshold shift score tests are generalized to the graded response model. For the bifactor test, the generalization is straightforward; it adds one secondary dimension associated only with one pair of items. For the threshold shift test, however, multiple generalizations are possible: in particular, conditional, uniform, and linear shift tests are discussed in this article. Simulation studies show that all of the score tests have accurate Type I error rates given large enough samples, although their small‐sample behaviour is not as good as that of Pearson's Χ² and M₂ as proposed in other studies for the purpose of local dependence (LD) detection. All score tests have the highest power to detect the LD which is consistent with their parametric form, and in this case they are uniformly more powerful than Χ² and M₂; even wrongly specified score tests are more powerful than Χ² and M₂ in most conditions. An example using empirical data is provided for illustration.     

Semi‐parametric proportional hazards models with crossed random effects for psychometric response times

The semi‐parametric proportional hazards model with crossed random effects has two important characteristics: it avoids explicit specification of the response time distribution by using semi‐parametric models, and it captures heterogeneity that is due to subjects and items. The proposed model has a proportionality parameter for the speed of each test taker, for the time intensity of each item, and for subject or item characteristics of interest. It is shown how all these parameters can be estimated by Markov chain Monte Carlo methods (Gibbs sampling). The performance of the estimation procedure is assessed with simulations and the model is further illustrated with the analysis of response times from a visual recognition task.     

Assimilation and contrast effects: The role of self‐construal and regulatory focus as moderators in collectivistic cultures of honour

Human judgments are context dependent. When answering a question about one's overall satisfaction with life, a previous question about one's romantic life might pose redundancy problems influencing one's judgment of life satisfaction, something known as item order effects. However, in order to detect such redundancy, one needs to pay attention to the context of the conversation. Any variable that influences the amount of attention given the context of the conversation can determine whether the presumed redundancy is detected or not. In three studies, two experiments and one correlational study, we tested the influence of induced self‐construal (study 1) and self‐regulatory focus (study 2) and self‐regulatory focus measured as an individual difference variable (study 3) as moderators of context effects among college students from Mexico. In study 1, participants induced to have an independent mindset were less likely to detect the redundancy posed by two questions, resulting, as predicted, in a contrast effect. In study 3, participants with lower levels of prevention focus were less likely to detect the redundancy posed by the same two questions as study 1, resulting, as predicted, in an assimilation effect. The implications of the results were discussed within the framework of the inclusion/exclusion model.     

Accuracy,Consensus, In-Group Bias,and Cultural Frame Shifting in the Context of National Character Stereotypes

We examined Finns’ and bilingual Swedish-Finns’ stereotypes regarding personality differences between Finns and Swedish-Finns and compared them with their respective self-ratings. Stereotype ratings by both groups converged on depicting Swedish-Finns as having a more desirable personality. In-group bias also influenced stereotypes. Contrary to predictions based on the Stereotype Content Model, out-group stereotypes were not compensatory. Consistent with the kernel of truth hypothesis of national stereotypes, Swedish-Finns’ aggregate self-ratings resembled their stereotype of personality differences between the two groups, and their personality self-ratings were more desirable than Finns’ self-ratings. Tentatively suggesting the occurrence of cultural frame shifting, the resemblance between Swedish-Finns’ self-ratings and their stereotype of Swedish-Finns was, although only marginally statistically significantly, somewhat stronger when the self-ratings were provided in Swedish.     

Change one can believe in: Adding learning to computational models of self-regulation

Theories of self-regulation describe motivation as a dynamic process of goal choice and goal striving. To facilitate those processes, individuals learn about themselves and their environment, which is an internal dynamic process. However, the precise nature of the relationship between these learning and motivational processes is not well specified. This article integrates formal models of learning, goal choice, and goal striving using a single information processing structure found in self-regulatory models of motivation. Results from two published studies ( and ) validate the model. In both cases, the integrated model accounts for findings that previous theories of self-regulation could not explain. Discussion focuses on additional tests to validate the model and on the value of incorporating formal models from the cognitive, learning, and motivational literatures to account for behavior in complex settings and over time.     

心理疗法在针灸治疗中的应用

随着疾病谱和死亡谱的改变,生物医学模式逐渐地不能满足医学发展的需要,取而代之的是生物心理社会医学模式。现代医学模式全方位探求影响人类健康与疾病的因果关系,认为生物学、心理学及社会学因素是人类致病共同的重要因素。针灸是中国传统医学同时也是西方辅助与替代医学的重要内容。针灸医护人员应大力宣传针灸知识,应用生物心理社会医学模式去对待每一位患者。本文试述心理疗法如支持性心理治疗、认知行为疗法、放松疗法在针灸临床的应用,展现针灸心身同治的诊疗特点。