Closed-loop qualitative coding mechanism for student mental health interviews¶

Element · All elements
Evidence · no claims cited

Description¶

A qualitative analysis mechanism built on three thematic questions following the sequence "current situation perception (focus point) → obstacle identification (pain points) → solution pathways (best practices)." It uses keyword extraction, frequency statistics with quantitative conversion, one-to-many sub-item splitting of composite responses, and anchoring with typical examples to validate coding. The 671 interview records were split into 1,292 valid coded responses, and cross-group validation compared student and teacher perspectives.

Design Implications¶

Context¶

Requirements¶

• Trained researchers, semi-structured interview protocols, recorded and transcribed interviews with participant consent.

Constraints¶

• The article states qualitative samples from selected cities "cannot strictly or specifically interpret all findings from quantitative studies; they serve primarily as macro-level references for partial trends."

Target Learners¶

• secondary vocational school students

Target Learning Goals¶

• identifying student psychological development needs and effective support forms

Claims¶

Related Elements¶

Examples¶

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Key Sources¶

• Zhang, X., Wang, S., Lin, X., Zheng, J., and Li, L. (2026). 2025 survey study on psychological education status among secondary vocational school students in xx province insights into mental health status and educational implications based on 31,000 students. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1773198