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  1. Home
  3. The Daily Lives Of Crowdsourced U.s. Respondents: A Time Use Comparison Of Mturk, Prolific, And Atus.
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  3. The Daily Lives Of Crowdsourced U.s. Respondents: A Time Use Comparison Of Mturk, Prolific, And Atus.

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The Daily Lives of Crowdsourced U.S. Respondents: A Time Use Comparison of MTurk, Prolific, and ATUS.

R Gordon Rinderknecht1, Long Doan2, Liana C Sayer2

  • 1RAND, Arlington, VA, USA.

Sociological Methodology
|July 22, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Online participant pools like Amazon Mechanical Turk (MTurk) and Prolific differ from the general population in daily activities, not just demographics. Time use variations, including less housework and more leisure, are significant for research.

Keywords:
MTurkProlificonline samplessample comparisontime use

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Area of Science:

  • Social Sciences
  • Psychology
  • Sociology

Background:

  • Online platforms like Amazon Mechanical Turk (MTurk) and Prolific are widely used for academic research participant recruitment.
  • Previous research has focused on demographic representativeness of these online samples compared to the U.S. population.
  • Limited research has explored the representativeness of daily life activities and time use patterns of these online participants.

Purpose of the Study:

  • To investigate the representativeness of daily time use for participants recruited via MTurk and Prolific.
  • To compare the time allocation patterns of MTurk and Prolific respondents with those from the American Time Use Survey (ATUS).
  • To determine if time use differences persist after controlling for demographic variations.

Main Methods:

  • Collected time diary data from 136 MTurk and 156 Prolific respondents.
  • Compared these time diaries with 468 contemporaneous responses from the American Time Use Survey (ATUS).
  • Utilized statistical analyses to identify significant differences in time use between the samples, adjusting for demographics.

Main Results:

  • MTurk and Prolific respondents reported spending less time on housework and care work compared to ATUS respondents.
  • Participants from these platforms spent less time traveling and more time at home and alone.
  • MTurk respondents generally worked more hours, while Prolific respondents engaged in more leisure activities than ATUS respondents.
  • These time use discrepancies remained significant even after accounting for demographic differences.

Conclusions:

  • Daily time use represents a critical dimension of sample differences that extends beyond demographic characteristics.
  • Researchers utilizing MTurk and Prolific samples should consider the potential moderating effects of time use on their study outcomes.
  • Understanding time use patterns is essential for interpreting findings and ensuring the generalizability of research conducted with online participant pools.