You have to follow through: Attaining behavioral change goals predicts volitional personality change

作者
Nathan W. Hudson,Daniel A. Briley,William J. Chopik,Jaime Derringer
标识
DOI:10.31234/osf.io/t36gf
摘要

Prior research has found that people’s desires to change their personality traits predict corresponding subsequent trait growth over time. However, few studies have examined the processes via which people can volitionally change their personality traits. Thus, it remains unclear whether merely desiring change predicts trait growth or whether actively pursuing change is necessary. The present study was a 15-week intensive longitudinal design that tested whether engaging in trait-typical behaviors predicted trait change. Participants provided self-report ratings of their personality traits and were able to freely accept and complete weekly “challenges”—prewritten behavioral goals that would pull their thoughts, feelings, and behaviors in line with their desired traits. Results indicated that merely accepting behavioral challenges did not predict trait changes. Rather, only actually completing challenges (i.e., performing trait-typical behaviors) predicted trait change over time. Thus, merely wanting to change does not appear to be sufficient to evoke trait growth; successfully changing one’s personality traits may require actively and successfully implementing behaviors to change oneself.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
科研通AI6.4应助Tsuik采纳,获得10
1秒前
斯信荣发布了新的文献求助10
2秒前
ctttt完成签到,获得积分10
2秒前
严尔风完成签到,获得积分10
2秒前
Loong发布了新的文献求助10
3秒前
安详苠发布了新的文献求助10
3秒前
共享精神应助XNM采纳,获得10
4秒前
4秒前
共享精神应助111采纳,获得10
4秒前
wxy完成签到 ,获得积分10
4秒前
万能图书馆应助轴轴采纳,获得10
4秒前
浩瀚完成签到,获得积分10
5秒前
Kyle完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
务实人生完成签到,获得积分10
5秒前
WK发布了新的文献求助10
5秒前
得意忘言完成签到,获得积分10
5秒前
6秒前
酷波er应助激昂的千秋采纳,获得10
6秒前
深情安青应助qqqq_8采纳,获得10
6秒前
liangliu完成签到,获得积分10
7秒前
研友_85YEM8完成签到,获得积分10
7秒前
刘mou完成签到 ,获得积分10
9秒前
林沐木发布了新的文献求助10
9秒前
mengfeiyang发布了新的文献求助10
9秒前
10秒前
bingsu108完成签到,获得积分10
11秒前
万能图书馆应助AlinaLee采纳,获得15
11秒前
胡。。。给胡。。。的求助进行了留言
11秒前
鱼乐乐发布了新的文献求助10
11秒前
桐桐应助糖卜里卜采纳,获得10
12秒前
王哒哒完成签到,获得积分10
12秒前
马里奥发布了新的文献求助10
12秒前
旭东静静发布了新的文献求助10
12秒前
学术文献互助应助a海w采纳,获得100
12秒前
gyq完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7621077
求助须知:如何正确求助?哪些是违规求助? 9196001
关于积分的说明 19711432
捐赠科研通 7192481
什么是DOI,文献DOI怎么找? 3272650
关于科研通互助平台的介绍 2435199
邀请新用户注册赠送积分活动 2267801