Instrumental Mentoring for Young Adults: A Multi-Method Study

Lois Schenk*, Miranda Sentse, Margriet Lenkens, Gera E. Nagelhout, Godfried Engbersen, Sabine Severiens

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Closeness between mentor and mentee is previously defined as an important indicator of relationship quality in youth mentoring, but whether this is the case in instrumental mentoring for young adults remains unclear. This is an exploratory study examining how instrumental mentoring serves young adults in their instrumental needs and how relational closeness develops. We applied a mixed-methods design, using quantitative data from a study of an instrumental mentoring program in Rotterdam, The Netherlands (N = 53), and qualitative data from a subsample of participants (N = 10). Two statistically distinctive clusters of closeness were found; 49% of the mentees reported high levels of closeness, and 51% reported low levels of closeness in their mentor relationship. Multivariate analyses of variance (MANOVAs) showed that the cluster with high levels of closeness was correlated with instrumental compatibility, satisfaction, and perceived attitude similarities. Semi-structured interviews were used to illustrate the role and development of closeness for mentees in both clusters, and three cases were presented. Experiencing closeness seemed a result of receiving instrumental support, not a precondition. Mentees' previous experiences might in some cases explain the lower levels of closeness, but this did not always hinder mentees to profit from their mentors' support.

Original languageEnglish
Article number0743558420979123
Pages (from-to)398-424
Number of pages27
JournalJournal of Adolescent Research
Volume36
Issue number4
Early online date14 Dec 2020
DOIs
Publication statusPublished - Jul 2021

Keywords

  • mentoring
  • early
  • emerging adulthood
  • intervention
  • prevention
  • mixed methods
  • RELATIONSHIP QUALITY
  • YOUTH
  • RISK
  • PREDICTORS
  • PROFILES

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