Development and validation of the Career Inaction Scale

规则网络 比例(比率) 可靠性(半导体) 心理学 现象 构造(python库) 结构效度 社会心理学 标准效度 有效性 心理测量学 计算机科学 临床心理学 认识论 地理 哲学 功率(物理) 物理 程序设计语言 量子力学 地图学
作者
Paulien D'Huyvetter,Marijke Verbruggen,Xinhui Jing,Jos Akkermans
出处
期刊:Applied Psychology [Wiley]
卷期号:74 (1)
标识
DOI:10.1111/apps.12590
摘要

Abstract Career inaction is the phenomenon in which people do not take sufficient action to realize a desired change in their career. Despite recent theoretical advancements and strong indications that career inaction is a prevalent phenomenon that brings along important risks to both individuals and organizations, there is no reliable and valid scale to accurately measure it. Therefore, we developed and validated an eight‐item scale of career inaction (CARINAS) across four studies. In Study 1 ( N = 258), we pilot‐tested the reliability and factor structure of the Dutch CARINAS among Belgian workers. In Study 2 ( N = 799), we tested the reliability, measurement invariance across groups, and construct validity of the scale and started exploring the nomological network of the Dutch CARINAS among Belgian career counseling clients. In Study 3 ( N = 170), we tested the reliability and validity of the English CARINAS and reran the correlation tests from Study 2 among US workers. Finally, in Study 4 ( N = 198), we re‐tested the factor structure and reliability of our scale and further explored the nomological network of the Dutch‐ CARINAS in a two‐wave dataset collected with Belgian workers. The results of these four studies revealed that the CARINAS has high reliability and a good factor structure across different groups. Furthermore, the tests of the nomological network yielded interesting insights regarding the assumptions underlying the theory of career inaction. By developing and validating the CARINAS, our study adds to the research on (barriers to) career transitions, paves the way for further empirical research on career inaction, and provides a diagnostic tool for professionals guiding people in their career decision‐making process.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
沧海青州完成签到,获得积分10
1秒前
李慧完成签到,获得积分10
1秒前
iyy发布了新的文献求助10
1秒前
Tanjia完成签到,获得积分10
1秒前
Smartan完成签到,获得积分10
1秒前
潇洒的山兰完成签到,获得积分10
2秒前
wanci应助科研通管家采纳,获得10
2秒前
Ava应助科研通管家采纳,获得10
2秒前
2秒前
Mathea应助科研通管家采纳,获得10
2秒前
orixero应助科研通管家采纳,获得10
3秒前
无花果应助科研通管家采纳,获得10
3秒前
Mathea应助科研通管家采纳,获得10
3秒前
bkagyin应助科研通管家采纳,获得10
3秒前
3秒前
violetyjm发布了新的文献求助20
3秒前
大胆的夏天完成签到,获得积分10
4秒前
李爱国应助甜蜜凉面采纳,获得10
4秒前
qiqi关注了科研通微信公众号
4秒前
852应助收手吧大哥采纳,获得10
5秒前
5秒前
5秒前
6秒前
於成协完成签到,获得积分10
6秒前
6秒前
6秒前
杜小宝完成签到,获得积分20
7秒前
彩色铅笔完成签到,获得积分10
7秒前
语安完成签到,获得积分10
7秒前
与离完成签到 ,获得积分10
7秒前
8秒前
量子星尘发布了新的文献求助10
8秒前
小肖的KYT完成签到,获得积分10
8秒前
RyanNeo完成签到,获得积分10
9秒前
yeti完成签到,获得积分10
9秒前
ping完成签到,获得积分10
9秒前
zz完成签到,获得积分10
9秒前
yx完成签到,获得积分20
9秒前
清新王老吉完成签到,获得积分10
10秒前
知了完成签到,获得积分10
10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
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5067407
求助须知:如何正确求助?哪些是违规求助? 4289187
关于积分的说明 13362471
捐赠科研通 4108690
什么是DOI,文献DOI怎么找? 2249847
邀请新用户注册赠送积分活动 1255305
关于科研通互助平台的介绍 1187828