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61.
    
Previous research has claimed that diversity erodes trust, even though the empirical evidence is mixed and restricted to ethnic neighborhood diversity. Against the backdrop of increasing diversity within the political sphere and concurrently declining political trust, we examined the impact of social diversity on trust in groups of political representatives. In two experiments (N1 = 109, N2 = 248) we tested how the diversity of political parties affected citizens’ trust in them. In line with predictions of the stereotype content model, diverse parties were perceived as warmer and less competent than non-diverse parties (Experiments 1–2). Additionally, party diversity was perceived as having more benefits, but also involving more threats (Experiment 2). Consequently, diversity had both positive (via warmth and benefits) and negative (via competence and threats) indirect effects on trust. These results help to untangle previously mixed, for the most part non-experimental, findings of the relationship between diversity and trust.  相似文献   
62.
We challenge the common interpretation of targets’ immediate confrontation in reaction to discrimination as self-serving behavior and propose different underlying motivations for this phenomenon. In five online scenario studies (Noverall = 1,447), we demonstrate across different samples and contexts that targets indicate a distinct pursuit of the following self-reported confrontation goals: individual-benefit (e.g., perpetrator apologizes); group-benefit (e.g., prejudice reduction); and distancing (e.g., demonstrating that one is different from typical group members). Furthermore, meaningful associations of the pursuits of individual-benefitting goals and group-benefitting goals with group identification, disidentification, and further collective action intentions indicate that they represent different confrontation motivations: Individual-benefitting confrontation serves to cope with the individual mistreatment of discrimination, whereas group-benefitting confrontation represents a form of collective action. Distancing goals were associated with disidentification and—unexpectedly—group identification. Our results show that the phenomenon of confrontation in reaction to discrimination can be the result of different underlying psychological processes.  相似文献   
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64.
    
Previous research has demonstrated that individual differences in affect and motivation predict divergent and convergent thinking performance, two thinking processes involved in creative idea generation. Individual differences in affect and motivation also predict spontaneous eye blink rate (sEBR) during divergent and convergent thinking; and sEBR predicts divergent and convergent thinking performance. This study investigates experimentally whether the relationship between sEBR and divergent and convergent thinking depends on individual differences in affect and motivation. Eighty-two participants completed the Emotion/motivation-related Divergent and Convergent thinking styles Scale (EDICOS; G. Soroa et al., 2015), performed the alternative uses task (AUT; divergent thinking) or the remote associates task (RAT; convergent thinking), while their sEBR was captured with an eye-tracker. The results showed that individual differences in positive affect positively correlated with sEBR for the AUT, whereas individual differences in negative affect positively correlated with sEBR for the RAT. Furthermore, the interaction between individual differences in positive and negative affect and sEBR predicted divergent and convergent thinking performance. The contribution of our study is therefore that individual differences in positive and negative affect can both positively correlate with sEBR during divergent and convergent thinking; and that this predicts divergent and convergent thinking performance.  相似文献   
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Abstract

A general modeling framework of response accuracy and response times is proposed to track skill acquisition and provide additional diagnostic information on the change of latent speed in a learning environment. This framework consists of two types of models: a dynamic response model that captures the response accuracy and the change of discrete latent attribute profile upon factors such as practice, intervention effects, and other latent and observable covariates, and a dynamic response time model that describes the change of the continuous response latency due to change of latent attribute profile. These two types of models are connected through a parameter, describing the change rate of the latent speed through the learning process, and a covariate defined as a function of the latent attribute profile. A Bayesian estimation procedure is developed to calibrate the model parameters and measure the latent variables. The estimation algorithm is evaluated through several simulation studies under various conditions. The proposed models are applied to a real data set collected through a spatial rotation diagnostic assessment paired with learning tools.  相似文献   
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We conducted two experimental studies with between-subjects and within-subjects designs to investigate the item response process for personality measures administered in high- versus low-stakes situations. Apart from assessing measurement validity of the item response process, we examined predictive validity; that is, whether or not different response models entail differential selection outcomes. We found that ideal point response models fit slightly better than dominance response models across high- versus low-stakes situations in both studies. Additionally, fitting ideal point models to the data led to fewer items displaying differential item functioning compared to fitting dominance models. We also identified several items that functioned as intermediate items in both the faking and honest conditions when ideal point models were fitted, suggesting that ideal point model is “theoretically” more suitable across these contexts for personality inventories. However, the use of different response models (dominance vs. ideal point) did not have any substantial impact on the validity of personality measures in high-stakes situations, or the effectiveness of selection decisions such as mean performance or percent of fakers selected. These findings are significant in that although prior research supports the importance and use of ideal point models for measuring personality, we find that in the case of personality faking, though ideal point models seem to have slightly better measurement validity, the use of dominance models may be adequate with no loss to predictive validity.  相似文献   
69.
Scholars are paying increasing attention to the “dark side” of citizenship behavior. One aspect of this dark side that has received relatively scant attention is “helping pressure”—an employee's perception that s/he is being encouraged to, or otherwise feels that s/he should, enact helping behavior at work. Drawing from theory associated with work stress, we examine affective and cognitive mechanisms that potentially explain why helping pressure, counterintuitively, may lead employees to engage in deviant behavior instead. Beyond examining these possible mechanisms, we also answer calls to identify a potential buffer to these effects. Drawing from self-determination theory, we examine how an employee's intrinsic motivation for citizenship may lessen the deleterious consequences of helping pressure at work. In two studies (a within-individual experience-sampling study and a two-wave between-individual study), we find consistent evidence that helping pressure has a positive indirect relationship with deviant behavior through increased negative affect. Further, we find evidence that intrinsic motivation for citizenship weakens the positive relationship of helping pressure with negative affect, buffering the indirect effect on subsequent deviant behavior. Theoretical and practical implications of these findings for the study of helping pressure at work are discussed.  相似文献   
70.
    
Abstract

In intervention studies having multiple outcomes, researchers often use a series of univariate tests (e.g., ANOVAs) to assess group mean differences. Previous research found that this approach properly controls Type I error and generally provides greater power compared to MANOVA, especially under realistic effect size and correlation combinations. However, when group differences are assessed for a specific outcome, these procedures are strictly univariate and do not consider the outcome correlations, which may be problematic with missing outcome data. Linear mixed or multivariate multilevel models (MVMMs), implemented with maximum likelihood estimation, present an alternative analysis option where outcome correlations are taken into account when specific group mean differences are estimated. In this study, we use simulation methods to compare the performance of separate independent samples t tests estimated with ordinary least squares and analogous t tests from MVMMs to assess two-group mean differences with multiple outcomes under small sample and missingness conditions. Study results indicated that a MVMM implemented with restricted maximum likelihood estimation combined with the Kenward–Roger correction had the best performance. Therefore, for intervention studies with small N and normally distributed multivariate outcomes, the Kenward–Roger procedure is recommended over traditional methods and conventional MVMM analyses, particularly with incomplete data.  相似文献   
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