AI Article Synopsis

  • The COVID-19 pandemic caused many developmental researchers to struggle with data collection due to the closure of in-person labs and safety concerns with face-to-face interactions.
  • Longitudinal studies were particularly affected, as data loss at one point can impact future testing, threatening the overall study's success.
  • To adapt, researchers modified two parent-infant interaction tasks for remote online testing, detailing the strengths and challenges of this new format and offering recommendations for applying it to other behavioral tasks.

Article Abstract

The closure of in-person laboratories and decreased safety of face-to-face interactions resulting from the COVID-19 pandemic jeopardized the ability of many developmental researchers to continue data collection during this time. Disruptions in data collection are particularly damaging to longitudinal studies, in which the testing of different age groups occurs on a continuous basis, and data loss at one time point can have cascading effects across subsequent time points and threaten the viability of the study. In an effort to continue collecting data for a longitudinal study on emotion development started in-person pre-pandemic, we adapted two parent-infant interaction tasks (free-play task and toy removal task) for a remote testing framework. Our procedure for pivoting these tasks to a supervised, remote online testing framework is outlined and the associated strengths and challenges of testing in this format (e.g., feasibility and implementation, testing environment and task setup validity, and accessibility, recruitment, and diversity) are critically evaluated. Considerations for applying this framework to other behavioral tasks are discussed and recommendations are provided.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548735PMC
http://dx.doi.org/10.3389/fpsyg.2021.733275DOI Listing

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