Crowd-sourcing Hypothesis Tests: Making Transparent How Design Choices Shape Research Results

Simple item page
dc.contributor.authorJustin F. Landy
dc.contributor.authorMiaolei Jia
dc.contributor.authorIsabel L. Ding
dc.contributor.authorDomenico Viganola
dc.contributor.authorWarren Tierney
dc.contributor.authorAnna Dreber
dc.contributor.authorMagnus Johannesson
dc.contributor.authorThomas Pfeiffer
dc.contributor.authorCharles R. Ebersole
dc.contributor.authorQuentin F. Gronau
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:37:17Z
dc.date.available2026-03-22T16:37:17Z
dc.date.issued2020
dc.descriptionCitaciones: 9
dc.identifier.doi10.2139/ssrn.3654406
dc.identifier.urihttps://doi.org/10.2139/ssrn.3654406
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/59319
dc.language.isoen
dc.publisherRELX Group (Netherlands)
dc.relation.ispartofSSRN Electronic Journal
dc.sourceUniversity of Chicago
dc.subjectCrowd sourcing
dc.subjectData science
dc.subjectComputer science
dc.subjectBusiness
dc.subjectMarketing
dc.subjectEconometrics
dc.titleCrowd-sourcing Hypothesis Tests: Making Transparent How Design Choices Shape Research Results
dc.typearticle

Files

Collections

Artículo Científico Publicado