Increasing the Usability of the American Time Use Survey: IPUMS ATUS.

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Data Pub Date : 2025-11-01 Epub Date: 2025-11-14 DOI:10.3390/data10110189
Kari C W Williams, Sarah M Flood, Liana C Sayer, Julia A Rivera Drew
{"title":"Increasing the Usability of the American Time Use Survey: IPUMS ATUS.","authors":"Kari C W Williams, Sarah M Flood, Liana C Sayer, Julia A Rivera Drew","doi":"10.3390/data10110189","DOIUrl":null,"url":null,"abstract":"<p><p>This paper describes IPUMS ATUS, which simplifies the use of time diary data by disseminating a harmonized and enhanced version of the American Time Use Survey (ATUS). The ATUS time diary data capture the detailed activities over a 24 h period for thousands of respondents along with their sociodemographic characteristics. The ability to measure, at a population level, how people spend their time provides nearly endless possibilities for examining questions that hinge on understanding human behavior. The flexible data format can be used to estimate time use as captured by stylized survey questions (e.g., sleep duration, work hours), but it also allows for the study of activity sequencing and the context of time use (e.g., where it happens, who else is present). However, wrangling the complex, hierarchical record structure of the data requires advanced programming skills. To address these challenges, IPUMS ATUS harmonizes the ATUS data and provides customization tools that allow researchers to (i) combine data from multiple original ATUS files and (ii) easily create and save custom variables that summarize time use utilizing the full array of contextual information spread across the complex record structure of the ATUS.</p>","PeriodicalId":36824,"journal":{"name":"Data","volume":"10 11","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12971072/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.3390/data10110189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/14 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper describes IPUMS ATUS, which simplifies the use of time diary data by disseminating a harmonized and enhanced version of the American Time Use Survey (ATUS). The ATUS time diary data capture the detailed activities over a 24 h period for thousands of respondents along with their sociodemographic characteristics. The ability to measure, at a population level, how people spend their time provides nearly endless possibilities for examining questions that hinge on understanding human behavior. The flexible data format can be used to estimate time use as captured by stylized survey questions (e.g., sleep duration, work hours), but it also allows for the study of activity sequencing and the context of time use (e.g., where it happens, who else is present). However, wrangling the complex, hierarchical record structure of the data requires advanced programming skills. To address these challenges, IPUMS ATUS harmonizes the ATUS data and provides customization tools that allow researchers to (i) combine data from multiple original ATUS files and (ii) easily create and save custom variables that summarize time use utilizing the full array of contextual information spread across the complex record structure of the ATUS.

提高美国人时间使用调查的可用性:IPUMS ATUS。
本文描述了IPUMS ATUS,它通过传播美国时间使用调查(ATUS)的统一和增强版本来简化时间日志数据的使用。ATUS时间日志数据记录了数千名受访者在24小时内的详细活动,以及他们的社会人口特征。在人口水平上衡量人们如何度过时间的能力,为研究与理解人类行为有关的问题提供了几乎无限的可能性。灵活的数据格式可用于估计通过程式化调查问题捕获的时间使用(例如,睡眠持续时间,工作时间),但它也允许研究活动顺序和时间使用的上下文(例如,在哪里发生,还有谁在场)。然而,处理数据的复杂、分层记录结构需要高级编程技能。为了应对这些挑战,IPUMS ATUS协调了ATUS数据,并提供了定制工具,允许研究人员(i)组合来自多个原始ATUS文件的数据,(ii)轻松创建和保存自定义变量,这些变量利用分布在ATUS复杂记录结构中的全部上下文信息来总结时间使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书