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dc.contributor.authorDelios, Andrew
dc.contributor.authorClemente, Elena Giulia
dc.contributor.authorWu, Tao
dc.contributor.authorTan, Hongbin
dc.contributor.authorDomenico, Michael Gordon
dc.contributor.authorOtterbring, Anders Emil Tobias
dc.contributor.authorUhlmann, Eric Luis
dc.date.accessioned2023-06-01T07:59:32Z
dc.date.available2023-06-01T07:59:32Z
dc.date.created2023-01-23T14:52:46Z
dc.date.issued2022
dc.identifier.citationDelios, A., Clemente, E. G., Wu, T., Tan, H., Domenico, M. G., Otterbring, A. E. T. & Uhlmann, E. L. (2022). Examining the generalizability of research findings from archival data. Proceedings of the National Academy of Sciences of the United States of America, 119(30), 1-9. doi:en_US
dc.identifier.issn0027-8424
dc.identifier.urihttps://hdl.handle.net/11250/3069582
dc.description.abstractThis initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability—for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples.en_US
dc.language.isoengen_US
dc.publisherThe National Academy of Sciencesen_US
dc.relation.urihttps://www.pnas.org/doi/full/10.1073/pnas.2120377119
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleExamining the generalizability of research findings from archival dataen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.subject.nsiVDP::Medisinske Fag: 700en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US
dc.source.pagenumber9en_US
dc.source.volume119en_US
dc.source.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.source.issue30en_US
dc.identifier.doi10.1073/pnas.2120377119
dc.identifier.cristin2113387
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal