Longitudinal Experience-Wide Association Studies—A Framework for Studying Personality Change

The importance of personality for predicting life outcomes in the domains of love, work, and health is well established, as is evidence that personality traits, while relatively stable, can change. However, little is known about the sources and processes that drive changes in personality traits and how such changes might impact important life outcomes. In this paper, we make the case that the research paradigms and methodological approaches commonly used in personality psychology need to be revised to advance our understanding of the sources and processes of personality change. We propose Longitudinal Experience-Wide Association Studies as a framework for studying personality change that can address the limitations of current methods, and we discuss strategies for overcoming some of the challenges associated with Longitudinal Experience-Wide Association Studies. © 2020 European Association of Personality Psychology     

A Psychometric Network Perspective on the Validity and Validation of Personality Trait Questionnaires

This article reviews the causal implications of latent variable and psychometric network models for the validation of personality trait questionnaires. These models imply different data generating mechanisms that have important consequences for the validity and validation of questionnaires. From this review, we formalize a framework for assessing the evidence for the validity of questionnaires from the psychometric network perspective. We focus specifically on the structural phase of validation, where items are assessed for redundancy, dimensionality, and internal structure. In this discussion, we underline the importance of identifying unique personality components (i.e. an item or set of items that share a unique common cause) and representing the breadth of each trait's domain in personality networks. After, we argue that psychometric network models have measures that are statistically equivalent to factor models but we suggest that their substantive interpretations differ. Finally, we provide a novel measure of structural consistency, which provides complementary information to internal consistency measures. We close with future directions for how external validation can be executed using psychometric network models. © 2020 European Association of Personality Psychology     

Assessing Personality States: What to Consider when Constructing Personality State Measures

Repeated assessments of personality states in daily diary or experience sampling studies have become a more and more common tool in the psychologist's toolbox. However, and contrary to the widely available literature on personality traits, no best practices for the development of personality state measures exist, and personality state measures have been developed in many different ways. To address this, we first define what a personality state is and discuss important components. On the basis of this, we define what a personality state measure is and suggest a general guideline for the development of such measures. Following the ABC of test construction can then guide the strategy for obtaining validity and reliability evidence: (A) What is the construct being measured? (B) What is the intended purpose of the measure? And (C) What is the targeted population of persons and situations? We then conclude with an example by developing an initial item pool for the assessment of conscientiousness personality states. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Daily Responsiveness,Expectations, and Self-disclosure: How the Average Levels and Within-person Variability of Three Relationship Components Mediate Personality–Relationship Transactions in Romantic Couples

The associations between couple members' personality and their relationship satisfaction can be conceptualized as reciprocal transactions. To better understand these transactions, we focused on both partners' interpersonal vulnerabilities (i.e. neuroticism, low self-esteem, and insecure attachment); daily emotional, cognitive, and behavioural relationship components (i.e. perceived responsiveness, positive expectations, and self-disclosure); and relationship satisfaction. Specifically, we examined whether the average levels and within-person variability of the relationship components mediated the transactions between interpersonal vulnerabilities and relationship satisfaction. Data came from 689 female–male couples aged 18 to 81 years who participated in three measurement occasions across 12 months, including a 14-day diary phase. We used mediated dyadic bivariate latent change score models to test the level–change and change–change transactions and mediations. The findings partly supported our hypotheses: Couple members with interpersonal vulnerabilities had lower average levels (but not higher within-person variability) of the relationship components, and less satisfied couple members had lower average levels and higher within-person variability of these components. The lower average levels but not the variability mediated between a lower level of relationship satisfaction and an increase in avoidant attachment. No other mediations were observed. We discuss the importance of studying daily relationship components for better understanding reciprocal transactions in couples. © 2020 European Association of Personality Psychology     

Bringing Back the Person into Behavioural Personality Science Using Big Data

Behaviour and the individual person are important but widely neglected topics of personality psychology. We argue that new technologies to collect and new methods to analyse Big (Behavioural) Data have the potential to bring back both more behaviour and the individual person into personality science. The call for studying the individual person in the history of personality science, the related idiographic/nomothetic divide, as well as attempts to reconcile these two approaches are briefly reviewed. Furthermore, different meanings of the term idiographic and some unique selling points that emphasize the importance of idiographic research are highlighted. A nonexhaustive literature review shows that a wealth of behaviours are considered in extant personality studies using such Big Data but only in a nomothetic way. Against this background, we demonstrate the potential of Big Data collection and analysis with regard to four idiographic research topics: (i) unique manifestations of common traits and the resurgence of personal dispositions, (ii) idiographic prediction, (iii) intraindividual consistency versus variability of behaviour and (iv) intraindividual personality trait change through intervention. Methodological, ethical and legal pitfalls of doing Big Data research with individual persons as well as potential countermeasures are considered.     

Understanding Personality through Patterns of Daily Socializing: Applying Recurrence Quantification Analysis to Naturalistically Observed Intensive Longitudinal Social Interaction Data

Ambulatory assessment methods provide a rich approach for studying daily behaviour. Too often, however, these data are analysed in terms of averages, neglecting patterning of this behaviour over time. This paper describes recurrence quantification analysis (RQA), a non-linear time series technique for analysing dynamic systems, as a method for analysing patterns of categorical, intensive longitudinal ambulatory assessment data. We apply RQA to objectively assessed social behaviour (e.g. talking to another person) coded from the Electronically Activated Recorder. Conceptual interpretations of RQA parameters, and an analysis of Electronically Activated Recorder data in adults going through a marital separation, are provided. Using machine learning techniques to avoid model overfitting, we find that adding RQA parameters to models that include just average amount of time spent talking (a static measure) improves prediction of four Big Five personality traits: extraversion, neuroticism, conscientiousness, and openness. Our strongest results suggest that a combination of average amount of time spent talking and four RQA parameters yield an R² = .09 for neuroticism. Neuroticism is shown to be associated with shorter periods of extended conversation (periods of at least 12 minutes), demonstrating the utility of RQA to identify new relationships between personality and patterns of daily behaviour. Materials: https://osf.io/5nkr9/ . © 2020 European Association of Personality Psychology     

Is it enough to be willing to win or do you have to be smart? The relationship between competitive worldviews,cognitive abilities,and applicant faking in personality tests

Recent research has highlighted competitive worldviews as a key predictor of faking—the intentional distortion of answers by candidates in the selection context. According to theoretical assumptions, applicants’ abilities, and especially their cognitive abilities, should influence whether faking motivation, triggered by competitive worldviews, can be turned into successful faking behavior. Therefore, we examined the influence of competitive worldviews on faking in personality tests and investigated a possible moderation of this relationship by cognitive abilities in three independent high school and university student samples (N₁ = 133, N₂ = 137, N₃ = 268). Our data showed neither an influence of the two variables nor of their interaction on faking behavior. We discuss possible reasons for these findings and give suggestions for further research.     

主动性人格对小学教师工作满意度的影响:一个有调节的中介模型

该研究探讨了主动性人格与小学教师工作满意度的关系,并提出一个有调节的中介模型,考察个人-工作匹配的中介效应和工作-家庭冲突对该效应的调节效应。研究采用主动性人格量表、个人-工作匹配量表、工作-家庭冲突量表和工作满意度量表对8所小学420名教师进行测查,结果表明：（1）主动性人格对个人-工作匹配和工作满意度均有显著的正向预测作用;（2）个人-工作匹配在主动性人格与工作满意度之间起着中介作用;（3）个人-工作匹配与工作满意度的关系（中介效应的后半段路径）受到工作-家庭冲突的调节,即工作-家庭冲突可以降低个人-工作匹配对工作满意度的正向影响。因此,主动性人格和工作满意度之间存在有调节的中介效应。     

中国人善良人格量表的编制及信效度检验

中国的心理学研究充满了道德色彩,研究以善良人格概念及结构为基础,编制了中国人善良人格量表。研究根据已有的善良人格词汇对应编写具体条目,经过分析整合后初步保留29个善良人格条目,在此基础上研究招募960名被试,分别进行探索性因素分析和验证性因素分析,并建构了善良人格的二阶四因子结构。研究结果表明善良人格量表具有良好的信效度,是测量中国人善良人格的有效工具。     

中国人幸福人格的结构与内涵

幸福人格是影响个体幸福感的重要人格特质。为了探索中国人幸福人格的结构和内涵,研究基于人格的词汇学假设,从以往研究者编制人格测验使用的初始词汇表中,筛选出225个与幸福感有关的人格词语。通过探索性因素分析和验证性因素分析,最终得到49个幸福人格词语。因素分析结果显示：中国人的幸福人格包含胆识、美德、乐观三个维度。以Campbell幸福感量表、主观幸福感量表和中国大五人格问卷简式版为效标的分析结果表明,幸福人格各维度得分可有效预测幸福感。