'A web of connections': A thematic analysis of the learning from a period of coaching that enables sustained change.

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Title: 'A web of connections': A thematic analysis of the learning from a period of coaching that enables sustained change.
Authors: Rigby, Caroline (AUTHOR), Gordon, Jenny (NURSE)
Source: International Coaching Psychology Review. Summer2024, Vol. 19 Issue 1, p5-18. 14p.
Subjects: Thematic analysis, Psychological literature, Coaching psychology, Coaching of employees, Deep learning, Learning, Rate of return
Abstract: The Coaching Psychology literature suggests that coaching is effective and associated with a range of positive gains. Outcome research, however, is largely quantitative and assesses short-term gains with coachees who are managers receiving coaching in work contexts. This qualitative study provides new insight into the learning gained from coaching that enables sustained change. Semi-structured interviews were used to gather narratives from nine participants who had finished a period of coaching, applied across work and life domains, after a delay. Reflexive Thematic Analysis (Braun & Clarke, 2022) was used to analyse participant responses to a set of novel questions designed to assess learning in the months following coaching. Four non-linear interconnected themes were created reflecting that the enablers of sustained change were a changed relationship with: self, action, others and coaching. Profound internalised deep learnings worked together to sustain change. A model suggests the presence of an 'inner coach' as a sustainer of lasting change and continued development. The implications for the development of evaluation tools, return on investment (ROI) and ethical conversations about coaching impact are discussed. The study provides a new lens through which to explore coaching as a tool for sustainable change. [ABSTRACT FROM AUTHOR]
Copyright of International Coaching Psychology Review is the property of British Psychological Society 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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  Data: 'A web of connections': A thematic analysis of the learning from a period of coaching that enables sustained change.
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  Data: <searchLink fieldCode="AR" term="%22Rigby%2C+Caroline%22">Rigby, Caroline</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gordon%2C+Jenny%22">Gordon, Jenny</searchLink> (NURSE)
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  Data: <searchLink fieldCode="JN" term="%22International+Coaching+Psychology+Review%22">International Coaching Psychology Review</searchLink>. Summer2024, Vol. 19 Issue 1, p5-18. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+literature%22">Psychological literature</searchLink><br /><searchLink fieldCode="DE" term="%22Coaching+psychology%22">Coaching psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Coaching+of+employees%22">Coaching of employees</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Rate+of+return%22">Rate of return</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Coaching Psychology literature suggests that coaching is effective and associated with a range of positive gains. Outcome research, however, is largely quantitative and assesses short-term gains with coachees who are managers receiving coaching in work contexts. This qualitative study provides new insight into the learning gained from coaching that enables sustained change. Semi-structured interviews were used to gather narratives from nine participants who had finished a period of coaching, applied across work and life domains, after a delay. Reflexive Thematic Analysis (Braun & Clarke, 2022) was used to analyse participant responses to a set of novel questions designed to assess learning in the months following coaching. Four non-linear interconnected themes were created reflecting that the enablers of sustained change were a changed relationship with: self, action, others and coaching. Profound internalised deep learnings worked together to sustain change. A model suggests the presence of an 'inner coach' as a sustainer of lasting change and continued development. The implications for the development of evaluation tools, return on investment (ROI) and ethical conversations about coaching impact are discussed. The study provides a new lens through which to explore coaching as a tool for sustainable change. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Coaching Psychology Review is the property of British Psychological Society 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.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.53841/bpsicpr.2024.19.1.5
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      – Code: eng
        Text: English
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        PageCount: 14
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      – SubjectFull: Thematic analysis
        Type: general
      – SubjectFull: Psychological literature
        Type: general
      – SubjectFull: Coaching psychology
        Type: general
      – SubjectFull: Coaching of employees
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      – SubjectFull: Deep learning
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      – SubjectFull: Learning
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      – SubjectFull: Rate of return
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              M: 07
              Text: Summer2024
              Type: published
              Y: 2024
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