Refining the Multidimensional Measure of Coping for Adolescents: Psychometric Validation of a Short Form and Its Higher-Order Structure in Chinese Adolescents

How students cope with academic stress is crucial for learning and well-being. The Multidimensional Measure of Coping (MMC) provides a comprehensive hierarchical assessment of academic coping; however, its length and adaptive-maladaptive distinction may limit practical use and constrain a more differentiated understanding of academic coping. This study aimed to refine the MMC and propose a differentiated higher-order structure for the MMC-Short Form (MMC-SF). Data were drawn from three adolescent samples from Northwest China (2024-2025): an exploratory sample (N = 1342), a confirmatory sample (N = 2037; test-retest N = 367; 4 weeks), and a longitudinal sample (T1 N = 948; T2 N = 760 at 1 month; T3 N = 893 at 6 months). Psychometric analyses (item analysis, exploratory structural equation modeling and confirmatory factor analysis [CFA]) demonstrated that the 34-item MMC-SF reliably preserved the original 11-factor structure. Furthermore, a multi-method investigation integrating higher-order exploratory factor analysis and second-order CFA supported a hybrid higher-order structure, with proactive engagement and defensive disengagement as higher-order dimensions and escape coping as a distinct first-order factor. The predictive validity was examined in relation to academic self-efficacy and burnout. These findings support the reconceptualization of academic coping and provide a brief, psychometrically robust assessment tool.

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Publication Details

Journal
Behavioral Sciences
Published
2026-03-09
DOI
https://doi.org/10.3390/bs16030392
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
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article

Refining the Multidimensional Measure of Coping for Adolescents: Psychometric Validation of a Short Form and Its Higher-Order Structure in Chinese Adolescents

Shi Qiu, Bin Yuan, Caina Li
Behavioral Sciences
Healthcare professionals’ stress and burnout
article

Refining the Multidimensional Measure of Coping for Adolescents: Psychometric Validation of a Short Form and Its Higher-Order Structure in Chinese Adolescents

Shi Qiu, Bin Yuan, Caina Li
article en

Abstract

How students cope with academic stress is crucial for learning and well-being. The Multidimensional Measure of Coping (MMC) provides a comprehensive hierarchical assessment of academic coping; however, its length and adaptive-maladaptive distinction may limit practical use and constrain a more differentiated understanding of academic coping. This study aimed to refine the MMC and propose a differentiated higher-order structure for the MMC-Short Form (MMC-SF). Data were drawn from three adolescent samples from Northwest China (2024-2025): an exploratory sample (N = 1342), a confirmatory sample (N = 2037; test-retest N = 367; 4 weeks), and a longitudinal sample (T1 N = 948; T2 N = 760 at 1 month; T3 N = 893 at 6 months). Psychometric analyses (item analysis, exploratory structural equation modeling and confirmatory factor analysis [CFA]) demonstrated that the 34-item MMC-SF reliably preserved the original 11-factor structure. Furthermore, a multi-method investigation integrating higher-order exploratory factor analysis and second-order CFA supported a hybrid higher-order structure, with proactive engagement and defensive disengagement as higher-order dimensions and escape coping as a distinct first-order factor. The predictive validity was examined in relation to academic self-efficacy and burnout. These findings support the reconceptualization of academic coping and provide a brief, psychometrically robust assessment tool.

Behavioral SciencesVol. 16(3)
Henan Polytechnic University (CN), Shaanxi Normal University (CN)
Quality Education
Openalex Percentile: Top 33%
Healthcare professionals’ stress and burnout
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Refining the Multidimensional Measure of Coping for Adolescents: Psychometric Validation of a Short Form and Its Higher-Order Structure in Chinese Adolescents — Shi Qiu, Bin Yuan, et al. · Behavioral Sciences (2026) | TGRS Research Map | TGRS