Participant Demographics for Run Streaking Behavior Study

17 recreational adult runners who ended a streak of at least 100 consecutive days of running. The dataset likely contains demographic and interview data from a qualitative study examining the backfire potential of run streaking. It was authored by Erin E. Ingalls and last updated in May 2026.

Use Cases

• Analyze demographic patterns among long-term streak runners based on the participant group described.
• Study the relationship between streak attachment and reported negative consequences based on the thematic analysis results.
• Model short-term affective responses to streak cessation based on reported feelings of sadness, anger, and disappointment.
• Investigate post-streak behavior patterns based on the finding that most participants started a new streak.

Strengths

• Includes data from 17 participants with detailed qualitative interview transcripts.
• All participants ended a run streak of at least 100 consecutive days, providing a consistent threshold.
• The study design employed a hybrid deductive–inductive thematic analysis for structured insights.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.5 KB), indicating limited scope and likely minimal variables.

Provenance

Source

figshare

Collection Method

Qualitative semi-structured interviews analyzed via thematic analysis.

Freshness

Last updated 2026-05-22 17:22:53; freshness should be verified.