Composite reliability and convergent validity.

基于UTAUT2框架,通过问卷调查评估中国甲状腺癌患者对可穿戴设备使用意图的横断面研究数据。

NIAID Data Ecosystem
浏览 15
表格wearable devices amongwearable device useuse wearable devicesupdated theoretical modelseveral general hospitalsrandom sampling techniqueintentionswas collected usinginstitutional focus wasconductedincome positively moderatedgender positively moderatedfour hundred sixtyfive hundred participants
Composite reliability and convergent validity.

基本信息

模态
表格
大小
0.000013824 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

Composite reliability and convergent validity.

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 13.82 KB,主题涵盖 wearable devices among、wearable device use、use wearable devices、updated theoretical model、several general hospitals,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

源站首次发布:2024-07-26。

【数据内容】

源站原始描述:Wearable devices hold promising prospects on a global scale, including in China. Thyroid cancer prevalence is notably high in China.This purpose of this researchwas to provide an updated theoretical model for assessing Chinese thyroid cancer patients’ intentions towards wearable devices, based on the UTAUT2 framework, and to ascertain the factors that have an impact on these intents. A cross-sectional study with an institutional focus wasconducted from January 20, 2023, to June 30, 2023, at seve…

中文译文(机器翻译,仅供快速理解,请以原文为准):可穿戴设备在全球范围内,包括在中国,都具有广阔前景。中国甲状腺癌患病率显著较高。本研究旨在基于UTAUT2框架,提供一个更新的理论模型,用于评估中国甲状腺癌患者对可穿戴设备的使用意向,并确定影响这些意向的因素。2023年1月20日至2023年6月30日,在中国多家综合医院开展了一项以机构为重点的横断面研究。共招募500名参与者,以识别可穿戴设备使用的预测因素。关于患者意向的问卷调查采用面对面方式收集,并采用随机抽样技术选择患者。469人(93.8%)有使用可穿戴设备的意向。使用意向受到绩效期望(PE)、努力期望(EE)、社会影响(SI)、享乐动机(HM)、价格价值(PV)和习惯(HA)的高度影响

【数据结构与技术规格】

文件数 1 个,合计 13.82 KB。Table 4.xls:application/vnd.ms-excel,13.82 KB。数据集 DOI:10.1371/journal.pone.0305944.t004。

【主题与分类】

源站学科分类:Biological Sciences not elsewhere classified、Developmental Biology、Cancer、Science Policy。主题标签:wearable devices among、wearable device use、use wearable devices、updated theoretical model、several general hospitals、random sampling technique、intentionswas collected using、institutional focus wasconducted、income positively moderated、gender positively moderated。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Composite_reliability_and_convergent_validity_/26382554

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Song, LingLi; Li, BinXian; Wu, HaiBo; Wu, CuiCui; Zhang, XueQi (2024). Composite reliability and convergent validity.. PLOS ONE. Dataset

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 4.xls" "https://ndownloader.figshare.com/files/47956667"

文件清单

  • Table 4.xls(13.82 KB)

文件总体积 13.82 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Wearable devices hold promising prospects on a global scale, including in China. Thyroid cancer prevalence is notably high in China.This purpose of this researchwas to provide an updated theoretical model for assessing Chinese thyroid cancer patients’ intentions towards wearable devices, based on the UTAUT2 framework, and to ascertain the factors that have an impact on these intents. A cross-sectional study with an institutional focus wasconducted from January 20, 2023, to June 30, 2023, at several general hospitals in China. Five hundred participants were recruited to identify predictors of wearable device use.The questionnaire survey about patients’ intentionswas collected using a face-to-face method, employing a random sampling technique for patient selection. Four hundred sixty-nine individuals (93.8%) had the intention to use wearable devices. The intentions were highly impacted by performance expectancy (PE), effort expectancy (EE), social influence (SI), hedonic motivation (HM), price value (PV) and habit (HA). Usage intention (UI)was a statistically predictor of Usage behavior (UB). The facilitating condition(FC) was not significant. Gender positively moderated the relationship between EE and UI. Income positively moderated the relationship between all variables and UI.Overall, the utilization of wearable devices among patients diagnosed with thyroid cancer has demonstrated considerable potential. This study offers a series of suggestions for digital health developers,healthcare decision-makers,doctors and patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0305944.t004(source: https://plos.figshare.com/articles/dataset/Composite_reliability_and_convergent_validity_/26382554)。

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