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Activity Number: 71 - COVID-19 and Survey Research Methods
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 4:00 PM to 5:50 PM
Sponsor: Survey Research Methods Section
Abstract #323202
Title: Testing a Probability-Based Online Panel Self-Administration of the Consumer Expenditure Diary Survey
Author(s): Nikki L. Graf* and Graham Jones and Tucker Miller and Wendy Carlton and Ryan Tully
Companies: Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics and Ipsos
Keywords: online diaries; probability-based online panels; mode; data quality; expenditure diary

The Consumer Expenditure Survey (CE) at the U.S. Bureau of Labor Statistics (BLS) is traditionally fielded using an in-person interview to place diaries and train respondents how to record the household's daily expenditures. In 2020, the CE implemented an online diary into production using these placement protocols, with interviewers training respondents on diary-keeping in person, or by telephone due to the COVID-19 pandemic. To explore the impact of shifting from current diary placement protocols to a fully self-administered mode, the CE has been conducting a test in a probability-based online panel. The test is being fielded from November 2021 to January 2022 with the objective of assessing the performance of a two-week online diary survey administered without the aid of an interviewer. This presentation will provide an overview of the test design and examine response and cooperation rates, sample composition, and data quality measures, including item nonresponse and expenditure counts and amounts, for a fully self-administered online diary within the context of a probability-based panel.

Authors who are presenting talks have a * after their name.

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