Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices

Abstract

Instrument(MCI), which includes seven sub-dimensions and 44 items, was used to collect data. K-means cluster and binary regression analyses were performed to detect mentor profiles and determine how various factors affect competence, respectively. Results:The K-means cluster analysis identified three distinct profiles: A (n = 926); B (n = 566); and C (n = 85). The profiles showed significantly different values (p < .001) across all seven areas of mentoring competence. In comparison with the other profiles, nurses in profile A were older, had more work experience and were more probably to have completed mentoring-specific training.

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