American Time Use Survey (ATUS): CATI Paradata, 2010 (ICPSR 37318)

Version Date: Jun 17, 2019

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Principal Investigator(s):
Robert F. Belli, University of Nebraska--Lincoln; Ana Lucia Cordova Cazar, University of Nebraska--Lincoln; Adam Eck, Oberlin College; Kristen Olson, University of Nebraska--Lincoln

Series:

https://doi.org/10.3886/ICPSR37318.v1

Version V1

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Alternate Title

ATUS Paradata, 2010

Summary

The annual American Time Use Survey (ATUS) collects information on people in the United States and what activities they spend their time in during a 24 hour period. Questions are not only asked about what activities are engaged in, but also with who is with them at that time, for how long do they spend doing the activity, and where the activity takes place.

The current study contains the observed paradata derived from the original Blaise audit trails of the full 2010 ATUS public-use data. The dataset contains data describing the interaction by interviewers with the CATI instrument while entering responses provided by respondents. The file contains 18 variables and 2,061,889 cases.

Citation

Belli, Robert F., Cordova Cazar, Ana Lucia, Eck, Adam, and Olson, Kristen. American Time Use Survey (ATUS): CATI Paradata, 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-06-17. https://doi.org/10.3886/ICPSR37318.v1

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Funding

National Science Foundation (SES-1132015)

Subject Terms

Geographic Coverage

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2010

Date of Collection

2010-01-01 -- 2010-12-31

Data Collection Notes

  1. The American Time Use Survey (ATUS) is sponsored by the United States Bureau of Labor Statistics (BLS), and conducted by the United States Census Bureau.

  2. The P.I. Codebook provides descriptive notes regarding each variable. The P.I. and ICPSR codebooks should be used in companion with one another to provide a more complete understanding of the variables within the dataset.

  3. The variable TUCASEID is a 14-digit unique identification number. This variable can be used to link this paradata dataset to any of the other 10 datasets that comprise the current public-use American Time Use Survey (ATUS), 2010 (ICPSR 30901). The numbering schema for this variable has the first 4 digits representing the year, followed by 2 digits for the month. The remaining 8 digits are the unique number associated for that interview.

  4. Additional information pertaining to the collection of this data is available via the American Time Use Survey Web site.

  5. All residents aged 15 and over living in households in the United States, with the exception of active military personnel and people residing in institutions such as nursing homes and prisons.

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Study Purpose

The overall aim of this study was to improve data quality assessment through the use of paradata and substantive answers from the 2010 American Time Use Survey (ATUS). Specifically, the relationship between data quality and interviewing complexity is explored. The specific objectives of this research were:

  • (a) To investigate the data quality of the 2010 ATUS through the construction of data quality index;
  • (b) To explore whether paradata can serve as a tool to assess interview complexity;
  • (c) To examine whether interview complexity predicts data quality in the ATUS.

In the study data quality and interview complexity were considered latent constructs that were measured by observed variables that include both survey responses and paradata. Data quality was measured through observed indicators including the total number of activities reported, the total time spent on responding to the interview, 'rounding' instances, item non-response instances (memory gaps), inadequate responses (i.e., instances in which the respondent reported an activity with insufficient detail such that the activity could not be coded), failures in reporting a basic daily activity (e.g., eating or sleeping), and failures in providing additional details (where and with whom the activity took place).

Interview complexity was exclusively measured through paradata variables, including the total number of entries per respondent, the proportion of secondary activities reported, the number of times reported activities and their locations where edited, and the total number of verbatim reports.

Study Design

Paradata was derived from the original Blaise audit trails during data collection of the 2010 survey. The paradata describes the interaction between the survey interviewer and the CATI instrument during administration of the survey. These "audit trails" are non-rectangular text data capturing key strokes and navigation during the course of the survey interview.

Sample

The primary survey data for the American Time Use Survey (ATUS) sample was drawn from households that had completed their final month of interviews for the Current Population Survey. One individual, aged 15 or older, from each selected household was chosen to participate in the ATUS. The selected respondent was interviewed one time about his or her time use for a single 24-hour period. Please refer to chapter 3 of the ATUS User's Guide, produced by the Bureau of Labor Statistics, for additional information on sampling.

Time Method

Cross-sectional

Universe

Participating respondents of the American Time Use Survey (ATUS), 2010 (ICPSR 30901).

Unit(s) of Observation

Individual

Data Source

Paradata derived from the original Blaise audit trails recorded from the the American Time Use Survey (ATUS), 2010 (ICPSR 30901).

Data Type(s)

Mode of Data Collection

Description of Variables

The data file contains 18 variables. Key variables in the file include the time each activity started (TIMEBEGAN), ended (TIMEENDED), and lasted (TIMEELAPSED) measured in seconds. The start and end times are very precise (M:D:Y / H:M:S).

Response Rates

56.9 percent

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Original Release Date

2019-06-17

Version History

2019-06-17 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

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Weight

This paradata dataset does not contain any weight variables. However, the public use ATUS survey data for 2010 do contain weight variables that should be used in analyzing the data when linked together. Please refer to chapter 7 of the ATUS User's Guide for additional information on linking the data together and weighting the data.

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Notes