Evaluating the Big Five as an organizing framework for commonly used psychological trait scales.

心理学 特质 社会心理学 认知心理学 五大性格特征 人格 计算机科学 程序设计语言
作者
Timothy F. Bainbridge,Steven G. Ludeke,Luke D. Smillie
出处
期刊:Journal of Personality and Social Psychology [American Psychological Association]
卷期号:122 (4): 749-777 被引量:136
标识
DOI:10.1037/pspp0000395
摘要

The Big Five is often represented as an effective taxonomy of psychological traits, yet little research has empirically examined whether stand-alone assessments of psychological traits can be located within the Big Five framework. Meanwhile, construct proliferation has created difficulty navigating the resulting landscape. In the present research, we developed criteria for assessing whether the Big Five provides a comprehensive organizing framework for psychological trait scales and evaluated this question across three samples (Total N = 1,039). Study 1 revealed that 83% of an author-identified collection of scales (e.g., Self-Esteem, Grit, etc.) were as related to the Big Five as at least four of 30 Big Five facets, and Study 2 found that 71% of scales selected based on citation counts passed the same criterion. Several scales had strikingly large links at the Big Five facet level, registering correlations with individual Big Five facets exceeding .9. We conclude that the Big Five can indeed serve as an organizing framework for a sizable majority of stand-alone psychological trait scales and that many of these scales could reasonably be labeled as facets of the Big Five. We suggest an integrative pluralism approach, where reliable, valid scales are located within the Big Five and pertinent Big Five research is considered in all research using trait scales readily located within the Big Five. By adopting such an approach, construct proliferation may be abated and it would become easier to integrate findings from disparate fields. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
最长约 10秒,即可获得该文献文件

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
orixero应助Oliver采纳,获得10
1秒前
2秒前
2秒前
3秒前
左丘冬寒完成签到,获得积分10
3秒前
3秒前
谢昊宸发布了新的文献求助20
4秒前
4秒前
aze发布了新的文献求助10
8秒前
jonghuang发布了新的文献求助10
8秒前
热心的粉红小企鹅完成签到,获得积分10
8秒前
李健应助lilac采纳,获得10
11秒前
12秒前
12秒前
机灵的沂应助吴志亮采纳,获得10
13秒前
14秒前
NexusExplorer应助谦让的寄风采纳,获得10
14秒前
三月发布了新的文献求助10
15秒前
15秒前
蔺忘幽完成签到 ,获得积分10
15秒前
Imp完成签到,获得积分10
15秒前
忧郁尔曼发布了新的文献求助10
15秒前
Liulu发布了新的文献求助10
17秒前
18秒前
jonghuang完成签到,获得积分10
18秒前
能干靖琪完成签到,获得积分10
18秒前
mouxq发布了新的文献求助10
19秒前
19秒前
wzx发布了新的文献求助10
19秒前
20秒前
小巧吐司发布了新的文献求助10
21秒前
21秒前
22秒前
傲人男根发布了新的文献求助10
22秒前
23秒前
miao发布了新的文献求助10
25秒前
26秒前
彬彬发布了新的文献求助10
27秒前
可靠逍遥发布了新的文献求助10
27秒前
星辰大海应助dde采纳,获得10
27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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7590396
求助须知:如何正确求助?哪些是违规求助? 9167820
关于积分的说明 19623142
捐赠科研通 7169551
什么是DOI,文献DOI怎么找? 3267307
关于科研通互助平台的介绍 2432173
邀请新用户注册赠送积分活动 2259518