Force Measurement Reliability in 30 Male Collegiate Athletes

Adam E. Sundh published a dataset on figshare in May 2026 containing session mean force and reliability metrics. The data likely contains statistical measures like standard deviation, coefficient of variation, intraclass correlation, and measurement error for 30 male collegiate athletes. The dataset is small, at 13.5 KB, and is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Assessing the reliability of force measurements based on reported intraclass correlation coefficients (ICC).
• Evaluating measurement error in athletic testing based on standard error of measurement (SEM) and minimal detectable difference (MDD).
• Comparing variability in force output across sessions based on coefficient of variation (CV) data.
• Benchmarking force data collection protocols for collegiate athlete populations.

Strengths

• Data is focused on a specific, relevant population of 30 male collegiate athletes.
• Includes multiple reliability metrics (SD, CV, ICC, SEM, MDD) for a comprehensive statistical view.
• Dataset is openly available under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 13.5 KB, indicating limited scope.
• Data may reflect a specific demographic bias inherent to the sample of male collegiate athletes.

Provenance

Source

Adam E. Sundh via figshare.

Collection Method

Likely collected from laboratory or field testing sessions with athletes.

Time Range

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Freshness

Last updated 2026-05-22 17:41:44; freshness should be verified.

Geography

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