{"title":"开始使用时间使用数据","authors":"Jay Stewart","doi":"10.32797/JTUR-2018-2","DOIUrl":null,"url":null,"abstract":"Time-use data have unique characteristics that make it different from other types of household survey data. Single-day time use surveys provide a detailed snapshot of a person’s activities on the diary day. But the large amount of day-to-day variation in the amount of time spent in various activities means that activities done on the diary day do not reflect the person’s long-run time use. Thus, time-use data is a sample of person-days, not a sample of people. This feature of time-use data has implications for its analysis.","PeriodicalId":92929,"journal":{"name":"Journal of time use research","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Getting Started with Time Use Data\",\"authors\":\"Jay Stewart\",\"doi\":\"10.32797/JTUR-2018-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-use data have unique characteristics that make it different from other types of household survey data. Single-day time use surveys provide a detailed snapshot of a person’s activities on the diary day. But the large amount of day-to-day variation in the amount of time spent in various activities means that activities done on the diary day do not reflect the person’s long-run time use. Thus, time-use data is a sample of person-days, not a sample of people. This feature of time-use data has implications for its analysis.\",\"PeriodicalId\":92929,\"journal\":{\"name\":\"Journal of time use research\",\"volume\":\"70 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of time use research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32797/JTUR-2018-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of time use research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32797/JTUR-2018-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time-use data have unique characteristics that make it different from other types of household survey data. Single-day time use surveys provide a detailed snapshot of a person’s activities on the diary day. But the large amount of day-to-day variation in the amount of time spent in various activities means that activities done on the diary day do not reflect the person’s long-run time use. Thus, time-use data is a sample of person-days, not a sample of people. This feature of time-use data has implications for its analysis.