{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120460"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120460","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimizing random sampling of daylong audio","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","abstract_has_math":false,"creators":["Marasli, Zeynep Beyza"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Montag, Jessica L"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:57Z","subjects":["Daylong Audio","Language Development","Manual Extrapolation","Sampling"],"languages":["en","eng"],"rights":["Copyright 2023 Zeynep Marasli"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120460","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Montag, Jessica L"]},{"key":"dc:creator","label":"Author","values":["Marasli, Zeynep Beyza"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-05-04"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Daylong Audio","Language Development","Manual Extrapolation","Sampling"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Zeynep Marasli"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120460"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","The student, Zeynep Marasli, accepted the attached license on 2023-05-03 at 15:39.","The student, Zeynep Marasli, submitted this Thesis for approval on 2023-05-03 at 15:54.","This Thesis was approved for publication on 2023-05-04 at 13:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19324 on 2023-09-01 at 17:16:00","While naturalistic daylong audio recordings of children’s auditory environments have the potential to reveal key insights about the input children receive and inform our theories of language development, it also presents various methodological hurdles. In the present work, we used three fully transcribed daylong audio recordings to investigate the challenge of manually extrapolating aggregate statistics and quantify the kinds of sampling choices daylong researchers can make. We implemented a random sampling with replacement algorithm and investigated how sampling interval size and total time sampled impacts extrapolation on four linguistic features. Our findings highlight sampling choices that maximize sampling from the full distribution of the day and potential tradeoffs between human effort and obtaining accuracy."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Optimizing random sampling of daylong audio"]}]}],"canonical_facts":{"dc:contributor":["Montag, Jessica L"],"dc:creator":["Marasli, Zeynep Beyza"],"dc:date":["2023-05","2023-05-04"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","The student, Zeynep Marasli, accepted the attached license on 2023-05-03 at 15:39.","The student, Zeynep Marasli, submitted this Thesis for approval on 2023-05-03 at 15:54.","This Thesis was approved for publication on 2023-05-04 at 13:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19324 on 2023-09-01 at 17:16:00","While naturalistic daylong audio recordings of children’s auditory environments have the potential to reveal key insights about the input children receive and inform our theories of language development, it also presents various methodological hurdles. In the present work, we used three fully transcribed daylong audio recordings to investigate the challenge of manually extrapolating aggregate statistics and quantify the kinds of sampling choices daylong researchers can make. We implemented a random sampling with replacement algorithm and investigated how sampling interval size and total time sampled impacts extrapolation on four linguistic features. Our findings highlight sampling choices that maximize sampling from the full distribution of the day and potential tradeoffs between human effort and obtaining accuracy."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120460"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Zeynep Marasli"],"dc:subject":["Daylong Audio","Language Development","Manual Extrapolation","Sampling"],"dc:title":["Optimizing random sampling of daylong audio"],"dc:type":["text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}