Changing the logic of replication: A case from infant studies.
Among infant researchers there is growing concern regarding the widespread practice of undertaking studies that have small sample sizes and employ tests with low statistical power (to detect a wide range of possible effects). For many researchers, issues of confidence may be partially resolved by re...
| Publicado en: | Infant Behavior & Development Vol. 61 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Nov2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=147505189&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 147505189 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01636383 JG0 jtl: Infant Behavior & Development issn: 01636383 maglogo: N pubinfo: dt: Nov2020 vid: 61 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 147505189 147505189 NLM33011611 10.1016/j.infbeh.2020.101483 NLM33011611 147505189 ppct: 1 formats: tig: atl: Changing the logic of replication: A case from infant studies. aug: au: Margoni, Francesco Shepperd, Martin affil: Department of Psychology and Cognitive Sciences, University of Trento, Italy sug: ab: Among infant researchers there is growing concern regarding the widespread practice of undertaking studies that have small sample sizes and employ tests with low statistical power (to detect a wide range of possible effects). For many researchers, issues of confidence may be partially resolved by relying on replications. Here, we bring further evidence that the classical logic of confirmation, according to which the result of a replication study confirms the original finding when it reaches statistical significance, could be usefully abandoned. With real examples taken from the infant literature and Monte Carlo simulations, we show that a very wide range of possible replication results would in a formal statistical sense constitute confirmation as they can be explained simply due to sampling error. Thus, often no useful conclusion can be derived from a single or small number of replication studies. We suggest that, in order to accumulate and generate new knowledge, the dichotomous view of replication as confirmatory/disconfirmatory can be replaced by an approach that emphasizes the estimation of effect sizes via meta-analysis. Moreover, we discuss possible solutions for reducing problems affecting the validity of conclusions drawn from meta-analyses in infant research. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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