• Medientyp: E-Artikel
  • Titel: Collecting big data with small screens: Group tests of children’s cognition with touchscreen tablets are reliable and valid
  • Beteiligte: Bignardi, Giacomo; Dalmaijer, Edwin S.; Anwyl-Irvine, Alexander; Astle, Duncan E.
  • Erschienen: Springer Science and Business Media LLC, 2021
  • Erschienen in: Behavior Research Methods
  • Sprache: Englisch
  • DOI: 10.3758/s13428-020-01503-3
  • ISSN: 1554-3528
  • Schlagwörter: General Psychology ; Psychology (miscellaneous) ; Arts and Humanities (miscellaneous) ; Developmental and Educational Psychology ; Experimental and Cognitive Psychology
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Collecting experimental cognitive data with young children usually requires undertaking one-on-one assessments, which can be both expensive and time-consuming. In addition, there is increasing acknowledgement of the importance of collecting larger samples for improving statistical power Button et al. (<jats:italic>Nature Reviews Neuroscience 14</jats:italic>(5), 365–376, 2013), and reproducing exploratory findings Open Science Collaboration (<jats:italic>Science</jats:italic>, <jats:italic>349</jats:italic>(6251), aac4716–aac4716 2015). One way both of these goals can be achieved more easily, even with a small team of researchers, is to utilize group testing. In this paper, we evaluate the results from a novel tablet application developed for the Resilience in Education and Development (RED) Study. The RED-app includes 12 cognitive tasks designed for groups of children aged 7 to 13 to independently complete during a 1-h school lesson. The quality of the data collected was high despite the lack of one-on-one engagement with participants. Most outcomes from the tablet showed moderate or high reliability, estimated using internal consistency metrics. Tablet-measured cognitive abilities also explained more than 50% of variance in teacher-rated academic achievement. Overall, the results suggest that tablet-based, group cognitive assessments of children are an efficient, reliable, and valid method of collecting the large datasets that modern psychology requires. We have open-sourced the scripts and materials used to make the application, so that they can be adapted and used by others.</jats:p>