Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.

In our planned study, we shall empirically study the assessment of cited papers within the framework of the anchoring-and-adjustment heuristic. We are interested in the question whether citation decisions are (mainly) driven by the quality of cited references. The design of our study is oriented tow...

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Autores principales:	Lutz Bornmann, Christian Ganser, Alexander Tekles
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cdf451d51e5e4bc482bc3208509c3f60
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spelling	oai:doaj.org-article:cdf451d51e5e4bc482bc3208509c3f602021-12-02T20:06:07ZAnchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.1932-620310.1371/journal.pone.0257307https://doaj.org/article/cdf451d51e5e4bc482bc3208509c3f602021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257307https://doaj.org/toc/1932-6203In our planned study, we shall empirically study the assessment of cited papers within the framework of the anchoring-and-adjustment heuristic. We are interested in the question whether citation decisions are (mainly) driven by the quality of cited references. The design of our study is oriented towards the study by Teplitskiy, Duede [10]. We shall undertake a survey of corresponding authors with an available email address in the Web of Science database. The authors are asked to assess the quality of papers that they cited in previous papers. Some authors will be assigned to three treatment groups that receive further information alongside the cited paper: citation information, information on the publishing journal (journal impact factor), or a numerical access code to enter the survey. The control group will not receive any further numerical information. In the statistical analyses, we estimate how (strongly) the quality assessments of the cited papers are adjusted by the respondents to the anchor value (citation, journal, or access code). Thus, we are interested in whether possible adjustments in the assessments can not only be produced by quality-related information (citation or journal), but also by numbers that are not related to quality, i.e. the access code. The results of the study may have important implications for quality assessments of papers by researchers and the role of numbers, citations, and journal metrics in assessment processes.Lutz BornmannChristian GanserAlexander TeklesPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257307 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lutz Bornmann Christian Ganser Alexander Tekles Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.
description	In our planned study, we shall empirically study the assessment of cited papers within the framework of the anchoring-and-adjustment heuristic. We are interested in the question whether citation decisions are (mainly) driven by the quality of cited references. The design of our study is oriented towards the study by Teplitskiy, Duede [10]. We shall undertake a survey of corresponding authors with an available email address in the Web of Science database. The authors are asked to assess the quality of papers that they cited in previous papers. Some authors will be assigned to three treatment groups that receive further information alongside the cited paper: citation information, information on the publishing journal (journal impact factor), or a numerical access code to enter the survey. The control group will not receive any further numerical information. In the statistical analyses, we estimate how (strongly) the quality assessments of the cited papers are adjusted by the respondents to the anchor value (citation, journal, or access code). Thus, we are interested in whether possible adjustments in the assessments can not only be produced by quality-related information (citation or journal), but also by numbers that are not related to quality, i.e. the access code. The results of the study may have important implications for quality assessments of papers by researchers and the role of numbers, citations, and journal metrics in assessment processes.
format	article
author	Lutz Bornmann Christian Ganser Alexander Tekles
author_facet	Lutz Bornmann Christian Ganser Alexander Tekles
author_sort	Lutz Bornmann
title	Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.
title_short	Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.
title_full	Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.
title_fullStr	Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.
title_full_unstemmed	Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.
title_sort	anchoring effects in the assessment of papers: the proposal for an empirical survey of citing authors.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/cdf451d51e5e4bc482bc3208509c3f60
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Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors.

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