University Bodybuilding Course Data with Interview Transcripts, Photographs, and Body Maps

Qualitative materials from a study integrating three reflective modalities: Pose Imitation Practice interview transcripts, Photovoice photographs with written reflections, and Body Mapping images with verbal explanations. The dataset includes both translated source data and the NVivo coding records developed from these materials. It was authored by Yin, Shuhui and last updated on 2026-05-14.

Use Cases

• Analyzing embodied learning processes based on Pose Imitation Practice interview transcripts
• Studying visual and written self-reflection based on Photovoice photographs and accompanying reflections
• Exploring body image and self-perception based on Body Mapping images and verbal explanations
• Examining cross-modal thematic analysis based on the provided NVivo coding records

Strengths

• Includes both raw source data and analytical coding records, providing a complete view of the research process.
• Integrates three distinct qualitative modalities (interviews, photographs, and body maps) for triangulation.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Harvard Dataverse

Collection Method

Collected from a university bodybuilding course using three reflective modalities.

Freshness

Last updated 2026-05-14 01:17:02; freshness should be verified.