Identifying Research Quality in the Social Sciences

Détails

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Etat: Public
Version: Author's accepted manuscript
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ID Serval
serval:BIB_AB4513EFF8D6
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
Identifying Research Quality in the Social Sciences
Titre du livre
Handbook on Research Assessment in the Social Sciences
Auteur⸱e⸱s
Ochsner Michael
Editeur
Edward Elgar
ISBN
9781800372542
Statut éditorial
Publié
Date de publication
12/04/2022
Peer-reviewed
Oui
Editeur⸱rice scientifique
Engels Tim C. E., Kulczycki Emanuel
Numéro de chapitre
4
Pages
48-66
Langue
anglais
Résumé
What is good research? A seemingly simple question reveals itself difficult to answer. The current methods for identifying research quality come with validity issues due to a lack of conceptual scrutiny. I argue that research quality is a context dependent latent construct. While identifying research quality is a difficult task, it is not impossible. The methodological toolbox of the social sciences provides instruments to capture such latent constructs. I propose a method to conceptualise research quality in its context and argue that it is fruitful to combine peer review and indicator-based evaluations rather than playing them off against each other. Similarly, instead of juxtaposing notions of quality of different stakeholders, it is more promising to start from the scholars’ notions of quality and to add other stakeholders’ notions of quality in a communicative process arriving at a context-specific definition of research quality.
Mots-clé
Research Quality, Stakeholders, Latent Construct, Validity, Informed Peer Review, Measurement
Financement(s)
Commission Européenne / H2020 / CA15137
Création de la notice
13/01/2022 18:36
Dernière modification de la notice
25/04/2022 6:35
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