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dc.contributor.authorScott, Kimberly
dc.contributor.authorChu, Junyi
dc.contributor.authorSchulz, Laura
dc.date.accessioned2021-10-27T20:35:44Z
dc.date.available2021-10-27T20:35:44Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/1721.1/136510
dc.description.abstract<jats:p> To help address the participant bottleneck in developmental research, we developed a new platform called “Lookit,” introduced in an accompanying article (Scott &amp; Schulz, 2017 ), that allows families to participate in behavioral studies online via webcam. To evaluate the viability of the platform, we administered online versions of three previously published studies involving different age groups, methods, and research questions: an infant ( M = 14.0 months, N = 49) study of novel event probabilities using violation of expectation, a study of two-year-olds’ ( M = 29.2 months, N = 67) syntactic bootstrapping using preferential looking, and a study of preschoolers’ ( M = 48.6 months, N = 148) sensitivity to the accuracy of informants using verbal responses. Our goal was to evaluate the overall feasibility of moving developmental methods online, including our ability to host the research protocols, securely collect data, and reliably code the dependent measures, and parents’ ability to self-administer the studies. Due to procedural differences, these experiments should be regarded as user case studies rather than true replications. Encouragingly, however, all studies with all age groups suggested the feasibility of collecting developmental data online and the results of two of three studies were directly comparable to laboratory results. </jats:p>
dc.language.isoen
dc.publisherMIT Press - Journals
dc.relation.isversionof10.1162/OPMI_A_00001
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceMIT Press
dc.titleLookit (Part 2): Assessing the Viability of Online Developmental Research, Results From Three Case Studies
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.updated2021-03-30T13:38:25Z
dspace.orderedauthorsScott, K; Chu, J; Schulz, L
dspace.date.submission2021-03-30T13:38:26Z
mit.journal.volume1
mit.journal.issue1
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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