The base-rate and longer-term relevance of year-to-year change in personality traits

L. Roemer, Clemens M. Lechner, Beatrice Rammstedt, Brent W. Roberts
{"title":"The base-rate and longer-term relevance of year-to-year change in personality traits","authors":"L. Roemer, Clemens M. Lechner, Beatrice Rammstedt, Brent W. Roberts","doi":"10.1177/08902070241241105","DOIUrl":null,"url":null,"abstract":"Personality traits are assumed to change slowly and incrementally. Recent intervention studies apparently challenge this assumption, showing that personality traits can also change quickly and substantially. However, how frequently do such quick changes manifest in the general population? This study sought to determine (1) a base rate of year-to-year changes in the general population and (2) the extent to which these shifts are related to longer-term change patterns. We examined year-to-year change in Big Five traits with nationally representative data from 7005 German participants, annually tracked for up to six years. Year-to-year patterns exhibited stability and change (e.g., ≥ 1 SD year-to-year change in ≈ 20%). Across participants, year-to-year trait score increases and decreases occurred in equal proportions, suggesting that in a given sample, year-to-year changes in different directions average out. Within participants, however, in all domains but agreeableness, year-to-year changes reliably propagated to longer-term trajectories. While much of the year-to-year change faded away in subsequent years, lasting shifts in individuals’ trait levels remained, particularly upon pronounced year-to-year decreases. Overall, (pronounced) year-to-year changes were relatively common, largely reversible, and yet predictive of individuals’ longer-term trajectories. We discuss how the results bridge set-point assumptions with assumptions of incremental trait change.","PeriodicalId":502295,"journal":{"name":"European Journal of Personality","volume":"5 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Personality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/08902070241241105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Personality traits are assumed to change slowly and incrementally. Recent intervention studies apparently challenge this assumption, showing that personality traits can also change quickly and substantially. However, how frequently do such quick changes manifest in the general population? This study sought to determine (1) a base rate of year-to-year changes in the general population and (2) the extent to which these shifts are related to longer-term change patterns. We examined year-to-year change in Big Five traits with nationally representative data from 7005 German participants, annually tracked for up to six years. Year-to-year patterns exhibited stability and change (e.g., ≥ 1 SD year-to-year change in ≈ 20%). Across participants, year-to-year trait score increases and decreases occurred in equal proportions, suggesting that in a given sample, year-to-year changes in different directions average out. Within participants, however, in all domains but agreeableness, year-to-year changes reliably propagated to longer-term trajectories. While much of the year-to-year change faded away in subsequent years, lasting shifts in individuals’ trait levels remained, particularly upon pronounced year-to-year decreases. Overall, (pronounced) year-to-year changes were relatively common, largely reversible, and yet predictive of individuals’ longer-term trajectories. We discuss how the results bridge set-point assumptions with assumptions of incremental trait change.
性格特征逐年变化的基率和长期相关性
人们假定人格特质的变化是缓慢而渐进的。最近的干预研究显然对这一假设提出了挑战,研究表明人格特质也会发生快速和实质性的变化。然而,这种快速变化在普通人群中的表现频率如何?本研究试图确定:(1)普通人群中逐年变化的基本比率;(2)这些变化与长期变化模式的相关程度。我们利用具有全国代表性的 7005 名德国参与者的数据,对大五特征的逐年变化进行了研究。年对年模式表现出稳定性和变化性(例如,≥ 1 SD 的年对年变化率≈ 20%)。在所有参与者中,特质得分逐年增加和减少的比例相同,这表明在特定样本中,不同方向的逐年变化是平均的。然而,在参与者内部,除了宜人性之外,在所有领域中,逐年变化都会可靠地传播到长期轨迹中。虽然大部分逐年变化在随后几年中逐渐消失,但个人特质水平的持久变化仍然存在,尤其是在逐年明显下降的情况下。总体而言,(明显的)逐年变化相对常见,在很大程度上是可逆的,但却能预测个体的长期轨迹。我们讨论了这些结果如何将设定点假设与性状增量变化假设联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信