技术设计缺陷

Dean S. Karlan, J. Appel
{"title":"技术设计缺陷","authors":"Dean S. Karlan, J. Appel","doi":"10.23943/PRINCETON/9780691183138.003.0003","DOIUrl":null,"url":null,"abstract":"This chapter examines technical design flaws. There are two common issues to avoid when it comes to survey design: bloated surveys, particularly without a clear analysis plan for all questions; and poorly designed survey items. No less important than the survey and other data collection tools is the plan to deploy them. As such, researchers should field test survey questions before launch. Also, debrief regularly with field survey teams to find out which questions respondents are struggling with, which parts of the survey are hardest to administer, and the like. The chapter then considers mistakes in randomization, power, and necessary sample size calculations in RCT design. Power and necessary sample size calculations rely on parameters that are hard to observe or guess. The best advice is to run these calculations multiple times, imagining a range of scenarios in the field and using a corresponding range of values for key parameters.","PeriodicalId":340586,"journal":{"name":"Failing in the Field","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical Design Flaws\",\"authors\":\"Dean S. Karlan, J. Appel\",\"doi\":\"10.23943/PRINCETON/9780691183138.003.0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter examines technical design flaws. There are two common issues to avoid when it comes to survey design: bloated surveys, particularly without a clear analysis plan for all questions; and poorly designed survey items. No less important than the survey and other data collection tools is the plan to deploy them. As such, researchers should field test survey questions before launch. Also, debrief regularly with field survey teams to find out which questions respondents are struggling with, which parts of the survey are hardest to administer, and the like. The chapter then considers mistakes in randomization, power, and necessary sample size calculations in RCT design. Power and necessary sample size calculations rely on parameters that are hard to observe or guess. The best advice is to run these calculations multiple times, imagining a range of scenarios in the field and using a corresponding range of values for key parameters.\",\"PeriodicalId\":340586,\"journal\":{\"name\":\"Failing in the Field\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Failing in the Field\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23943/PRINCETON/9780691183138.003.0003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Failing in the Field","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23943/PRINCETON/9780691183138.003.0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本章探讨技术设计缺陷。当涉及到调查设计时,有两个常见的问题需要避免:臃肿的调查,特别是没有对所有问题进行明确的分析计划;以及设计糟糕的调查项目。与调查和其他数据收集工具一样重要的是部署它们的计划。因此,研究人员应该在发射前实地测试调查问题。此外,定期与实地调查小组进行汇报,以找出受访者在哪些问题上遇到了困难,调查的哪些部分最难管理,等等。然后,本章将讨论随机化、功率和RCT设计中必要的样本量计算中的错误。功率和必要的样本量计算依赖于难以观察或猜测的参数。最好的建议是多次运行这些计算,想象字段中的一系列场景,并为关键参数使用相应的值范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Design Flaws
This chapter examines technical design flaws. There are two common issues to avoid when it comes to survey design: bloated surveys, particularly without a clear analysis plan for all questions; and poorly designed survey items. No less important than the survey and other data collection tools is the plan to deploy them. As such, researchers should field test survey questions before launch. Also, debrief regularly with field survey teams to find out which questions respondents are struggling with, which parts of the survey are hardest to administer, and the like. The chapter then considers mistakes in randomization, power, and necessary sample size calculations in RCT design. Power and necessary sample size calculations rely on parameters that are hard to observe or guess. The best advice is to run these calculations multiple times, imagining a range of scenarios in the field and using a corresponding range of values for key parameters.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信