ILR School

University of Nebraska Node

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Recent Submissions

Now showing 1 - 3 of 3
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    NCRN Meeting Spring 2016: Evaluating Data quality in Time Diary Surveys Using Paradata
    Córdova Cazar, Ana Lucía; Belli, Robert (2016-05-10)
    Over the past decades, time use researchers have been increasingly interested in analyzing wellbeing in tandem with the use of time (Juster and Stafford, 1985; Krueger et al, 2009). Many methodological issues have arose in this endeavor, including the concern about the quality of the time use data. Survey researchers have increasingly turned to the analysis of paradata to better understand and model data quality. In particular, it has been argued that paradata may serve as proxy of the respondents’ cognitive response process, and can be used as an additional tool to assess the impact of data generation on data quality. In this presentation, data quality in the American Time Use Survey (ATUS) will be assessed through the use of paradata and survey responses. Specifically, I will talk about a data quality index I have created, which includes measures of different types of ATUS errors (e.g. low number of reported activities, failures to report an activity), and paradata variables (e.g. response latencies, incompletes). The overall objective of this study is to contribute to data quality assessment in the collection of timeline data from national surveys by providing insights on those interviewing dynamics that most impact data quality. These insights will help to improve future instruments and training of interviewers, as well as to reduce costs.
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    NCRN Meeting Spring 2016: The ATUS and SIPP-EHC: Recent Developments
    Belli, Robert F. (2016-05-09)
    One of the main objectives of the NCRN award to the University of Nebraska node is to investigate data quality associated with timeline interviewing as conducted with the American Time Use Survey (ATUS) time diary and the Survey of Income and Program Participation event history calendar (SIPP-EHC). Specifically, our efforts are focused on the relationships between interviewing dynamics as extracted from analyses of paradata with measures of data quality. With the ATUS, our recent efforts have revealed that respondents differ in how they handle difficulty with remembering activities, with some overcoming these difficulties and others succumbing to them. With the SIPP-EHC, we are still in the initial stages of extracting variables from the paradata that are associated with interviewing dynamics. Our work has also involved the development of a CATI time diary in which we are able to analyze audio streams to capture interviewing dynamics. I will conclude this talk by discussing challenges that have yet to be overcome with our work, and our vision of moving forward with the eventual development of self-administered timeline instruments that will be respondent-friendly due to the assistance of intelligent-agent driven virtual interviewers.