Happiness,life satisfaction and positive mental health: Investigating reciprocal effects over four years in a Chinese student sample

Positive factors are increasingly recognized in the field of psychology, however, few studies have investigated the longitudinal measurement invariance (LMI) and reciprocal associations of positive core constructs, such as happiness, life satisfaction and positive mental health. This study evaluated the LMI of these constructs over four years in a Chinese Student Sample (n = 4400) using the Subjective Happiness Scale (SHS), the Satisfaction with Life Scale (SWLS) and the Positive Mental Health Scale (PMH-scale). The longitudinal reciprocal associations of the constructs were examined within a random intercept cross-lagged panel model (RI-CLPM). The results show that the SHS, SWLS and PMH-scale are measurement invariant over time and that the constructs are positively inter-related, but show different reciprocal patterns over time.     

高满意带来高绩效,还是高绩效导致高满意?一项持续4年的领导-下属配对研究

工作满意度和工作绩效的关系是工业与组织心理学中最受尊敬也最有争议的话题之一。本研究以某集团公司总部职能部门的409名员工为研究对象,连续4年测量了工作满意度(自我报告)和工作绩效(上级评定),并对两者关系进行了交叉滞后分析。结构方程模型结果显示,工作满意度和工作绩效是互相影响的关系,且工作满意度对工作绩效的影响要强于工作绩效对工作满意度的影响。另外,工作满意度对工作绩效的影响具有跨时间稳定性,而工作绩效对工作满意度的影响随时间变化有逐渐增加的趋势。     

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.     

What remains of the intersubjective?: On the presencing of self and other

Recent work in the social sciences has been concerned with how we understand the subject. This has entailed critiquing the ways the subject has traditionally been understood – as a mental entity existing prior to and so organizing our experience of the world. In its place a relational subject has been posited, one emerging through a combination of affective experiences, performative enunciations, and haunting absent presences. However, the implications of such critiques for how we understand intersubjective relations have not been discussed. What remains of intersubjectivity when any subject entering into a relation has already been decentred amid a more-than human ecology of affective relations? In response, this paper draws on the work of Jean-Luc Nancy in developing understandings of the socio-spatial constitution of subjectivity/intersubjectivity in terms of movements of presencing. Here the body-subject is always in approach to itself and others, but neither is actually reached, never (self) present, always already receding: a spacing at the heart of any relation. The discussion is interspersed with a series of narrative sections outlining an encounter between a street performer and their audience which draw attention to a number of key themes in any understanding of intersubjectivity and attempt to expose this inherent dis-position.     

Empirical evaluation of the uncanny valley hypothesis fails to confirm the predicted effect of motion

The uncanny valley hypothesis states that the acceptability of an artificial character will not increase linearly in relation to its likeness to human form. Instead, after an initial rise in acceptability there will be a pronounced decrease when the character is similar, but not identical to human form (Mori, 1970/2012). Moreover, it has been claimed but never directly tested that movement would accentuate this dip and make moving characters less acceptable. We used a number of full-body animated computer characters along with a parametrically defined motion set to examine the effect of motion quality on the uncanny valley. We found that improving the motion quality systematically improved the acceptability of the characters. In particular, the character classified in the deepest location of the uncanny valley became more acceptable when it was animated. Our results showed that although an uncanny valley was found for static characters, the deepening of the valley with motion, originally predicted by Mori (1970/2012), was not obtained.     

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.