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dc.contributor.authorScott, Kimberly
dc.contributor.authorSchulz, Laura
dc.date.accessioned2021-10-27T20:35:45Z
dc.date.available2021-10-27T20:35:45Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/1721.1/136516
dc.description.abstract<jats:p> Many important questions about children’s early abilities and learning mechanisms remain unanswered not because of their inherent scientific difficulty but because of practical challenges: recruiting an adequate number of children, reaching special populations, or scheduling repeated sessions. Additionally, small participant pools create barriers to replication while differing laboratory environments make it difficult to share protocols with precision, limiting the reproducibility of developmental research. Here we introduce a new platform, “Lookit,” that addresses these constraints by allowing families to participate in behavioral studies online via webcam. We show that this platform can be used to test infants (11–18 months), toddlers (24–36 months), and preschoolers (36–60 months) and reliably code looking time, preferential looking, and verbal responses, respectively; empirical results of these studies are presented in Scott, Chu, and Schulz ( 2017 ). In contrast to most laboratory-based studies, participants were roughly representative of the American population with regards to income, race, and parental education. We discuss broad technical and methodological aspects of the platform, its strengths and limitations, recommendations for researchers interested in conducting developmental studies online, and issues that remain before online testing can fulfill its promise. </jats:p>
dc.language.isoen
dc.publisherMIT Press - Journals
dc.relation.isversionof10.1162/OPMI_A_00002
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceMIT Press
dc.titleLookit (Part 1): A New Online Platform for Developmental Research
dc.typeArticle
dc.contributor.departmentCenter for Brains, Minds, and Machines
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.relation.journalOpen Mind
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-30T13:17:07Z
dspace.orderedauthorsScott, K; Schulz, L
dspace.date.submission2021-03-30T13:17:08Z
mit.journal.volume1
mit.journal.issue1
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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