Development, validity, and reliability of the Japanese version of the 7C of vaccination readiness scale

组内相关 比例(比率) 可靠性(半导体) 验证性因素分析 标准效度 测量不变性 有效性 统计 外部有效性 判别效度 内容有效性 临床心理学 结构效度 心理学 医学 内部一致性 心理测量学 数学 结构方程建模 地图学 地理 物理 功率(物理) 量子力学
作者
Masaki Machida,Takako Kojima,H. Akiko Popiel,Mattis Geiger,Yuko Odagiri,Shigeru Inoue
出处
期刊:American Journal of Infection Control [Elsevier BV]
卷期号:51 (4): 426-433 被引量:3
标识
DOI:10.1016/j.ajic.2022.07.001
摘要

The 7C of the vaccination readiness scale measures the 7 psychological components that structure people's vaccination readiness. We aimed to develop the Japanese version of this scale (7C scale Japanese version) and to assess its validity and reliability.The full and short versions of 7C scale Japanese were developed based on translation guidelines provided by the ISPOR Task Force. An Internet survey, including 709 participants, was performed to assess the scale's validity and reliability within a confirmatory factor analysis (CFA) framework (men: 38.8%, age range: 20-92 years). Invariance analysis using multiple-group CFA was conducted to test cross-cultural validity between participants in this study and those in the 7C original version study. McDonald's omega and intraclass correlation coefficient were calculated to evaluate internal consistency and test-retest reliability, respectively. To clarify the criterion validity, regression analysis, with previous COVID-19 vaccination status as the dependent variable, was performed to calculate pseudo R2.The 7C scale Japanese version exhibited good content validity, structural validity, configural invariance, and criterion validity. The results showed good internal consistency, and test-retest reliability, except for the "calculation" component.7C scale Japanese version exhibited acceptable reliability and validity; however, "calculation" may be a less reliable subscale.

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
今后应助xkkk采纳,获得10
1秒前
舒适笑天发布了新的文献求助10
1秒前
优雅子骞完成签到,获得积分10
2秒前
复杂的冰凡完成签到,获得积分20
2秒前
3秒前
可靠的裘完成签到,获得积分10
3秒前
来福完成签到,获得积分10
3秒前
听雨发布了新的文献求助10
4秒前
丘比特应助ling22采纳,获得10
4秒前
5秒前
5秒前
molihuakai应助科研通管家采纳,获得10
5秒前
Akim应助科研通管家采纳,获得10
6秒前
LX应助科研通管家采纳,获得20
6秒前
molihuakai应助科研通管家采纳,获得10
6秒前
6秒前
今后应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得10
6秒前
初景应助科研通管家采纳,获得30
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
赘婿应助科研通管家采纳,获得10
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
molihuakai应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
6秒前
8秒前
8秒前
CT发布了新的文献求助10
9秒前
张教授发布了新的文献求助10
9秒前
朵朵发布了新的文献求助10
11秒前
来福发布了新的文献求助10
11秒前
林天翼发布了新的文献求助10
11秒前
慕青应助Jamie采纳,获得10
12秒前
12秒前
李爱国应助当当采纳,获得10
12秒前
桐桐应助受伤路灯采纳,获得10
13秒前
13秒前
14秒前
科研通AI2S应助坚强小兔子采纳,获得50
15秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6493201
求助须知:如何正确求助?哪些是违规求助? 8290657
关于积分的说明 17691570
捐赠科研通 5585361
什么是DOI,文献DOI怎么找? 2915586
邀请新用户注册赠送积分活动 1892651
关于科研通互助平台的介绍 1751038