Expansion, reduction, or both?: A mixed-methods research design to explore questioning sequences as agents of effectiveness in business coaching.
Published In: Nota Bene: Journal for Linguistics in Belgium & the Netherlands, 2025, v. 2, n. 1. P. 69 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Graf, Eva-Maria; Dionne, Frédérick; Fleischhacker, Melanie; Künzli, Hansjörg; Spranz-Fogasy, Thomas 3 of 3
Abstract
This paper discusses opportunities and challenges of a mixed-methods research model building on linguistic and psychological methods, to document, analyze and evaluate questioning sequences as agents of effectiveness in business coaching. It details the disciplinary needs of expansion and reduction in the context of the development of a typology of questions and question sequences as part of the interdisciplinary project Questioning Sequences in Coaching. The aim is to illustrate how negotiating and integrating qualitative linguistic needs, resulting from a descriptive-phenomenological approach, and quantitative psychological needs, resulting from a theory-guided approach, can be productive for bringing together interaction and effectiveness in the context of (appropriate) responsiveness. Alongside the focus on integrating qualitative linguistic and quantitative psychological research, the paper exemplifies the added value for linguistic research of combining them in the context of a comparative case study on the longitudinal development of questions generating solutions. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nota Bene: Journal for Linguistics in Belgium & the Netherlands. 2025/01, Vol. 2, Issue 1, p69
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:2950-189X
- DOI:10.1075/nb.00024.gra
- Accession Number:188296994
- Copyright Statement:Copyright of Nota Bene: Journal for Linguistics in Belgium & the Netherlands is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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