Doctoral Dissertation Research: Testing Information and Communication Technology (ICT) Recall Aids for Surveys of Personal Networks

博士论文研究：测试个人网络调查的信息和通信技术 (ICT) 回忆辅助工具

• 批准号: 1246942
• 负责人: Peter Miller
• 金额: $ 1.2万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1246942&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Testing; Information

This study seeks to develop recall aids for the name generator procedure from the General Social Survey and examine empirically whether these aids can improve the recall accuracy of the information about who comprises their personal networks from survey participants. It hypothesizes that researchers can obtain more comprehensive personal network data by encouraging survey respondents to consult the actual records that they keep in the contact directories provided by various ICTs (such as the phone book stored in a mobile phone and the address book functionality of email applications). Thus far, although the past literature has suggested a few techniques to reduce respondents? burden in the survey setting, there is little work addressing the issue of the recall accuracy for personal network data collection.This study employs a survey experiment; a Web survey will be administered to college students to gather information about their personal networks. College students consist of a homogeneous sample appropriate for this study, given the concern of internal validity in the expected findings. Students who agree to participate in the survey will be randomly assigned to three conditions. The control group will take the questionnaire without any recall aid, while the two experimental groups will take the survey with two different forms of prompts and probes respectively. Broader impacts: The study will provide an effective technique to collect personal network information from individuals such as scientists and engineers. The proposed technique can then be used in surveys to collect information to develop new social capital indicators for the science and engineering workforce. As a result, researchers can use these indicators to investigate how various dimensions (e.g. advice, support, etc.) of personal networks may explain the productivity and career outcomes of scientists and engineers. More generally, this project will advance the understanding about individuals' personal networks as well as the data collection technique for personal network research. It will also offer new insights into the understanding of the psychology of survey response.

本研究旨在开发召回艾滋病的名称生成器程序从综合社会调查和实证研究这些援助是否可以提高召回准确性的信息，谁组成他们的个人网络调查参与者。它假设，研究人员可以通过鼓励调查对象查阅他们保存在各种信通技术提供的联系人目录中的实际记录（例如存储在移动的电话中的电话簿和电子邮件应用程序的地址簿功能），获得更全面的个人网络数据。到目前为止，虽然过去的文献提出了一些技术，以减少受访者？在调查设置的负担，有很少的工作，解决个人网络数据收集的召回精度的问题。本研究采用了一个调查实验，网络调查将管理到大学生，以收集有关他们的个人网络的信息。考虑到预期结果的内部效度，大学生是一个适合本研究的同质样本。同意参加调查的学生将被随机分配到三个条件。控制组在不使用任何回忆辅助工具的情况下进行问卷调查，而两个实验组分别在两种不同形式的提示和探究下进行问卷调查。更广泛的影响：该研究将提供一种有效的技术来收集科学家和工程师等个人的个人网络信息。然后，所提出的技术可以用于调查，收集信息，为科学和工程劳动力开发新的社会资本指标。因此，研究人员可以使用这些指标来调查各种维度（例如建议，支持等）个人关系网的发展可以解释科学家和工程师的工作效率和职业成就。更广泛地说，这个项目将促进对个人的个人网络的理解，以及个人网络研究的数据收集技术。它还将为理解调查反应的心理学提供新的见解。