Inter-individual differences in intra-individual variability in personality within and across contexts

This study focuses on intra-individual variability in personality at work, and how it relates to job performance. 288 professionals completed contextualised adjective-based personality assessments in work and non-work contexts, and a non-contextualised personality measure. Ratings of their personality were also obtained from colleagues, family members and friends. Supervisors provided performance ratings for 130 participants. Results indicate that personality is context- and source-dependent, and varies systematically within contexts intra-individually regardless of source. Whilst this variability was predictive of some performance criteria when based on other-ratings, overall predictive effects were small in number and size. This study adds to the relatively small body of research on personality variability and performance and contributes to the conceptualisation of personality as a dynamic construct.     

A nonparametric approach for assessing latent trait unidimensionality

Assuming a nonparametric family of item response theory models, a theory-based procedure for testing the hypothesis of unidimensionality of the latent space is proposed. The asymptotic distribution of the test statistic is derived assuming unidimensionality, thereby establishing an asymptotically valid statistical test of the unidimensionality of the latent trait. Based upon a new notion of dimensionality, the test is shown to have asymptotic power 1. A 6300 trial Monte Carlo study using published item parameter estimates of widely used standardized tests indicates conservative adherence to the nominal level of significance and statistical power averaging 81 out of 100 rejections for examinee sample sizes and psychological test lengths often incurred in practice.The referees' comments were remarkably detailed and greatly enhanced the writeup and sensitized the author to certain pertinent issues. Discussions with Fritz Drasgow, Lloyd Humphreys, Dennis Jennings, Brian Junker, Robert Linn, Ratna Nandakumar, and Robin Shealy were also very useful.This research was supported by the Office of Naval Research under grant N00014-84-K-0186; NR 150-533, and by the National Science Foundation under grant DMS 85-03321.     

Latent trait models and dichotomization of graded responses

This paper discusses thecompatibility of the polychotomous Rasch model with dichotomization of the response continuum. It is argued that in the case of graded responses, the response categories presented to the subject are essentially an arbitrary polychotomization of the response continuum, ranging for example from total rejection or disagreement to total acceptance or agreement of an item or statement. Because of this arbitrariness, the measurement outcome should be independent of the specific polychotomization applied, for example, presenting a specific multicategory response format should not affect the measurement outcome. When such is the case, the original polychotomous model is called compatible with dichotomization.A distinction is made between polychotomization or dichotomization before the fact, that is, in constructing the response format, and polycho- or dichotomization after the fact, for example in dichotomizing existing graded response data.It is shown that, at least in case of dichotomization after-the-fact, the polychotomous Rasch model is not compatible with dichotomization, unless a rather special condition of the model parameters is met. Insofar as it may be argued that dichotomization before the fact is not essentially different from dichotomization after the fact, the value of the unidimensional polychotomous Rasch model is consequently questionable. The impact of our conclusion on related models is also discussed.     

Experimental analysis of individual differences and personality

In psychological studies individual differences that result in variability in data and thus mask the effects under investigation have been reduced or eliminated in two ways: (1) through the use of large numbers of subjects and statistical manipulations, or (2) through extensive and controlled studies of individual subjects. The latter, behavior-analytic, method is scientifically better because it permits identification of the variables that result in individual differences. This paper advocates the direct study of individual differences and personality rather than indirect study through experimental control procedures. Some data are presented showing that individual differences in response patterns have orderly characteristics. Extension of the experimental analysis of behavior to the study of individual differences and personality is likely to be important both scientifically and for the future growth of behavior analysis.     

Personality and the Policy Positions of Politicians

Politicians’ support of or opposition to concrete policies is uniquely consequential for policymaking, public opinion, and a host of other societal outcomes. Explaining their policy positions is therefore a major research agenda in political science. Here, we evaluate the role of politicians’ personality traits, measured with the Big Five typology, in shaping how liberal or conservative their economic and social policy positions are. While existing research establishes this link among nonelites, it is far from obvious that the same holds for politicians, who have systematically different personality profiles, and whose positions are constrained by party lines. Using an in-person study of 893 legislators in five countries who completed personality questionnaires and provided detailed issue positions, we find that Openness to Experience is strongly and positively predictive of politicians’ liberal positions on both economic and social policies, but a null relationship for Conscientiousness. We also find that Extraversion predicts more conservative economic (but not social) policy positions. We discuss implications for the role of elites’ individual characteristics in policymaking.     

Intentional response distortion during the COVID-19 pandemic

COVID-19 has abruptly and unexpectedly transformed nearly every aspect of work, including but not limited to increased unemployment rates and uncertainty regarding future job prospects. Response distortion has always been a concern given that many organizations rely on information that is self-reported by applicants regarding their potential employability (e.g., responses to self-reported personality instruments, resumes, interview responses). Drawing from the Valence-Instrumentality-Expectancy (VIE) theory of motivation, we propose that the uncertainty surrounding jobs may lead to amplified distorted responses on these measures in areas where COVID-19 was most salient. In a sample of 213 working adults [~50% female, age M = 38.48], the present study shows that increases in response distortion on a measure of conscientiousness were more pronounced as a function of (a) local COVID positivity rates and (b) job type, such that frontline workers distorted their responses the most. Findings are discussed in the context of VIE theory, personality measurement, and challenges with maintaining effective selection procedures.     

不确定是坏的么?不确定状态中的错误加工特点及其解释机制

错误是人类决策和行为过程中在所难免的。然而, 错误常常带来不利后果甚至危及生命(如高危作业时的失误)。如何有效监控错误并优化行为对于个体生存和发展至关重要。错误的发生受到内部心理状态影响, 个体常在不确定的情境中做出判断, 不确定状态增强还是削弱错误监控, 是一个重要科学问题, 却存在矛盾结果。在前期积累和理论分析基础上, 本项目拟从人格差异角度探索不确定容忍度的调节作用。不确定容忍度的差异意味着个体对于模糊情境的耐受性和错误的敏感性不同, 因而可能调节不确定状态中的错误加工过程。研究1采用行为实验, 揭示多种不确定情境中(如奖赏/惩罚)错误监控和错误后调整的认知特点, 考察不确定容忍度的调节作用; 研究2通过考察电生理表征、时间加工进程和神经振荡机制等进一步解释这些现象。本项目对于探明不确定状态中的错误加工规律及其人格调节机制具有重要理论价值, 对于促进个体的环境适应、目标达成等具有较好现实意义。     

特质自我控制对食物线索注意偏向的影响及干预：来自眼动的证据

采用眼动技术,以BMI指数处于正常范围的女性为被试,考察特质自我控制对食物线索注意偏向的影响以及注意偏向训练在改变注意偏向强度上的干预效果。结果发现,对于高热量食物线索,低特质自我控制水平女性表现出了更强的注意偏向;注意偏向训练有效降低了低特质自我控制水平女性对高热量食物线索注意偏向的强度。上述结果表明,特质自我控制影响个体对食物线索的注意偏向,注意偏向训练能有效改变个体对食物线索注意偏向的强度。