Frontiers in Psychology (Jan 2023)

Improving hardiness among university students: A meta-analysis of intervention studies

  • Gao Jianping,
  • Zhu Zhihui,
  • Samsilah Roslan,
  • Zeinab Zaremohzzabieh,
  • Nur Aimi Nasuha Burhanuddin,
  • Soh Kim Geok

DOI
https://doi.org/10.3389/fpsyg.2022.994453
Journal volume & issue
Vol. 13

Abstract

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IntroductionIncreasing the hardiness of students is a crucial objective in higher education. Universities and colleges have created a variety of interventions to improve students' overall hardiness.MethodsIn terms of the effects of such interventions, empirical research has shown inconclusive results. This meta-analysis applies 12 effect sizes from 12 independent empirical studies, with a total of 640 participants, to assess the overall impact of interventions on students' hardiness and to test for moderators, in light of the contradictory findings in prior work. The current meta-analysis calculates the standardized mean differences (SMD) of pre-post interventions. The level of study heterogeneity, represented by I2, was interpreted as small (I2 ≤ 25%), moderate (25% < I2 ≤ 50%), substantial (50% < I2 ≤ 75%), or considerable (I2 > 75%). Twelve studies met the inclusion criteria and were included in the meta-analysis.ResultsThe results show that the interventions had a significant positive overall effect on students' hardiness (g = 0.998, k = 12) and show significant heterogeneity among effect sizes. Among the interventions, cognitive-based intervention yielded the largest mean effect size (g = 2.015, k = 5). Furthermore, moderator analyses suggest that the effects of the interventions on students' hardiness are moderated by respondent type, culture, intervention type, research design, years, and duration of intervention.DiscussionWe conclude that interventions that promote students' hardiness are officious. Despite the low homogeneity of the results and limitations of this meta-analysis (e.g., a small number of included studies) which might have influenced the findings, the large fail-safe N suggests that these findings are robust. The study examined potential causes of heterogeneity and emphasized the importance of further research in this area.

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