The Regret and Disappointment Scale: An instrument for assessing regret and disappointment in decision making

失望 后悔 感觉 心理学 比例(比率) 社会心理学 背景(考古学) 计算机科学 机器学习 量子力学 生物 物理 古生物学
作者
Francesco Marcatto,Donatella Ferrante
出处
期刊:Judgment and Decision Making [Cambridge University Press]
卷期号:3 (1): 87-99 被引量:45
标识
DOI:10.1017/s193029750000019x
摘要

Abstract The present article investigates the effectiveness of methods traditionally used to distinguish between the emotions of regret and disappointment and presents a new method — the Regret and Disappointment Scale (RDS) — for assessing the two emotions in decision making research. The validity of the RDS was tested in three studies. Study 1 used two scenarios, one prototypical of regret and the other of disappointment, to test and compare traditional methods (“How much regret do you feel” and “How much disappointment do you feel”) with the RDS. Results showed that only the RDS clearly differentiated between the constructs of regret and disappointment. Study 2 confirmed the validity of the RDS in a real-life scenario, in which both feelings of regret and disappointment could be experienced. Study 2 also demonstrated that the RDS can discriminate between regret and disappointment with results similar to those obtained by using a context-specific scale. Study 3 showed the advantages of the RDS over the traditional methods in gambling situations commonly used in decision making research, and provided evidence for the convergent validity of the RDS.

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
mega白发布了新的文献求助10
1秒前
NING发布了新的文献求助10
2秒前
王景柯完成签到,获得积分10
3秒前
3秒前
王青文完成签到,获得积分10
3秒前
元莱如此完成签到 ,获得积分10
3秒前
活泼老师完成签到 ,获得积分10
4秒前
ldy发布了新的文献求助10
4秒前
山河一剑来完成签到,获得积分10
5秒前
冷酷的雪柳完成签到,获得积分10
6秒前
qq发布了新的文献求助10
6秒前
嘉心糖应助周围采纳,获得80
7秒前
Shan5完成签到,获得积分10
7秒前
YI发布了新的文献求助10
9秒前
10秒前
lry发布了新的文献求助10
11秒前
Hello应助tg2024采纳,获得30
11秒前
快乐小狗完成签到,获得积分10
11秒前
Forever完成签到,获得积分0
13秒前
思源应助醉熏的兔子采纳,获得10
13秒前
13秒前
nnnnn发布了新的文献求助10
14秒前
qq完成签到,获得积分20
14秒前
JR完成签到,获得积分10
15秒前
李爱国应助rputation采纳,获得10
15秒前
nazar发布了新的文献求助10
15秒前
可爱的函函应助YI采纳,获得10
15秒前
wangzeshan完成签到,获得积分10
15秒前
叮当猫完成签到,获得积分10
17秒前
忐忑的忆霜完成签到,获得积分10
17秒前
MJ完成签到,获得积分10
18秒前
搜集达人应助NING采纳,获得10
19秒前
JamesPei应助tg2024采纳,获得10
19秒前
20秒前
20秒前
20秒前
lilac完成签到,获得积分10
21秒前
干净的琦应助xjyyy采纳,获得30
21秒前
麦香糯米糍完成签到,获得积分10
22秒前
明理开山完成签到,获得积分10
23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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363461
求助须知:如何正确求助?哪些是违规求助? 8177390
关于积分的说明 17232734
捐赠科研通 5418609
什么是DOI,文献DOI怎么找? 2867125
邀请新用户注册赠送积分活动 1844328
关于科研通互助平台的介绍 1691850