Determinants of Wearable Device Use from Multiple Logistic Regression Results

9.5 KB of regression results analyzing factors influencing wearable device adoption. The dataset, authored by André Hajek and last updated in June 2026, contains the output of multiple logistic regressions performed on a total sample. The specific variables and sample size are not detailed in the available metadata.

Use Cases

• Modeling determinants of technology adoption based on regression coefficients.
• Comparing the influence of different factors on wearable device use.
• Validating or benchmarking new statistical models for binary outcomes against published results.

Strengths

• Results are from multiple logistic regressions, a standard statistical method.
• The dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

André Hajek via figshare

Collection Method

Results of multiple logistic regressions, likely from a survey.

Freshness

Last updated 2026-06-02 17:41:41