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.     

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.     

Combined Medication and CBT for Generalized Anxiety Disorder With African American Participants: Reliability and Validity of Assessments and Preliminary Outcomes

Using data from a study of combined cognitive behavioral therapy (CBT) and venlafaxine XR in the treatment of generalized anxiety disorder (GAD), the current article examines the reliability and convergent validity of scales, and preliminary outcomes, for African American compared with European American patients. Internal consistency and short-term stability coefficients for African Americans (n = 42) were adequate and similar or higher compared with those found for European Americans (n = 164) for standard scales used in GAD treatment research. Correlations among outcome measures among African Americans were in general not significantly different for African Americans compared with European Americans. A subset of patients with DSM-IV–diagnosed GAD (n = 24 African Americans; n = 52 European Americans) were randomly selected to be offered the option of adding 12 sessions of CBT to venlafaxine XR treatment. Of those offered CBT, 33.3% (n = 8) of the African Americans and 32.6% (n = 17) of the European Americans accepted and attended at least one CBT treatment session. The outcomes for African Americans receiving combined treatment were not significantly different from European Americans receiving combined treatment on primary or secondary efficacy measures.     

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.