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<p>Despite the growing emphasis on labor education, the latent structure and key predictors of undergraduates’ labor literacy remain poorly understood, particularly with respect to how psychological resources interact with or compensate for contextual constraints. To address this gap, this study identifies latent profiles of labor literacy, examines demographic and psychological predictors of profile membership, and tests the compensatory role of psychological resources within the bioecological systems framework. A sample of 2,500 undergraduates completed measures of labor literacy, meaning in life (MIL), and general self-efficacy (GSE), and latent profile analysis (LPA) revealed four distinct profiles: an Integrated Excellence profile (12.6%), a Dual-High with Mid-Level Innovation profile (34.8%), a Moderate–Balanced profile (35.9%), and a Low-Level and Homogeneous profile (16.6%). Multinomial logistic regression indicated that gender, geographic origin, GSE, and MIL significantly predicted profile membership. The findings demonstrate substantial heterogeneity in labor literacy. Critically, within the bioecological framework, microsystem-level psychological resources are stronger predictors of profile membership than are mesosystem-level contextual constraints. This pattern supports a compensatory model, underscoring the role of individual agency in mitigating structural barriers. Consequently, we recommend precision education approaches including tailored interventions, targeted support, and psychological empowerment to address these disparities and foster development.</p>

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Latent profiles of labor literacy among Chinese undergraduates: general self-efficacy and meaning in life as compensatory mechanisms within bioecological systems

  • 期刊论文

  • 发表日期：

    2026年5月12日

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  • Zhanyang Yuan,
  • Liang Chen,
  • Minhui Jiang,
  • Xiaoyun Tang

摘要

Despite the growing emphasis on labor education, the latent structure and key predictors of undergraduates’ labor literacy remain poorly understood, particularly with respect to how psychological resources interact with or compensate for contextual constraints. To address this gap, this study identifies latent profiles of labor literacy, examines demographic and psychological predictors of profile membership, and tests the compensatory role of psychological resources within the bioecological systems framework. A sample of 2,500 undergraduates completed measures of labor literacy, meaning in life (MIL), and general self-efficacy (GSE), and latent profile analysis (LPA) revealed four distinct profiles: an Integrated Excellence profile (12.6%), a Dual-High with Mid-Level Innovation profile (34.8%), a Moderate–Balanced profile (35.9%), and a Low-Level and Homogeneous profile (16.6%). Multinomial logistic regression indicated that gender, geographic origin, GSE, and MIL significantly predicted profile membership. The findings demonstrate substantial heterogeneity in labor literacy. Critically, within the bioecological framework, microsystem-level psychological resources are stronger predictors of profile membership than are mesosystem-level contextual constraints. This pattern supports a compensatory model, underscoring the role of individual agency in mitigating structural barriers. Consequently, we recommend precision education approaches including tailored interventions, targeted support, and psychological empowerment to address these disparities and foster development.