CSCS Data Analysis & Reporting 4 — Questions and Answers
Question 1: A strength coach uses GPS tracking data during practice. Athletes show average high-speed running distances of 450 ± 85 m. Which statistical term does '± 85 m' represent?
- Standard error of the mean
- Standard deviation (Correct answer)
- 95% confidence interval
- Coefficient of variation
Correct answer: Standard deviation
The ± notation following a mean in sport science typically denotes standard deviation, reflecting the spread of individual scores around the group mean.
Question 2: When designing a performance test battery report for coaching staff, which principle should guide data visualization choices?
- Always use the most complex chart type to demonstrate rigor
- Match the chart type to the nature of the data and audience needs (Correct answer)
- Report only p-values to ensure statistical credibility
- Use color gradients to obscure less impressive findings
Correct answer: Match the chart type to the nature of the data and audience needs
Effective data visualization aligns chart type with the data structure (categorical vs. continuous) and is designed for the audience's technical literacy.
Question 3: A researcher finds no statistically significant difference (p = 0.08) in strength gains between two training protocols, but Cohen's d = 0.9. How should a CSCS practitioner interpret this?
- The training protocols are equally effective and practically identical
- The study may be underpowered; the large effect size suggests practical relevance worth investigating (Correct answer)
- Statistical non-significance confirms the null hypothesis is true
- The effect size is invalid when p > 0.05
Correct answer: The study may be underpowered; the large effect size suggests practical relevance worth investigating
Non-significance with a large effect size often indicates insufficient sample size (low power), and the practical difference may still be meaningful in applied settings.
Question 4: Which of the following best describes 'predictive validity' in the context of performance testing?
- The test produces consistent results across multiple administrations
- The test score accurately predicts a relevant future outcome or performance criterion (Correct answer)
- The test measures what sport scientists theoretically believe it should measure
- The test results correlate well with other established tests of the same quality
Correct answer: The test score accurately predicts a relevant future outcome or performance criterion
Predictive validity refers to how well a test score forecasts a future outcome, such as using a combine test to predict game performance.
Question 5: An athlete's Reactive Strength Index (RSI) drops 15% from pre-season to mid-season. In a well-designed monitoring system, what is the FIRST step in responding to this finding?
- Immediately reduce training intensity by 50%
- Verify data quality and contextualize with other wellness and load metrics (Correct answer)
- Prescribe additional plyometric training to restore RSI
- Report the finding to medical staff for injury evaluation
Correct answer: Verify data quality and contextualize with other wellness and load metrics
Before acting on a performance decrement, practitioners should confirm the data are accurate and consider contextual factors such as recent load, fatigue, and wellness scores.
Question 6: What is the purpose of calculating a 95% confidence interval for a performance test result?
- To identify the exact true score of the measurement
- To estimate the range within which the population parameter likely falls (Correct answer)
- To determine whether the athlete's score is statistically significant
- To calculate the athlete's percentile rank in their sport
Correct answer: To estimate the range within which the population parameter likely falls
A 95% CI provides a plausible range for the true population parameter, indicating where 95% of similarly constructed intervals would capture the true value.
Question 7: A CSCS practitioner tracks session RPE (sRPE) × duration to quantify training load. This method is an example of which type of load monitoring?
- External load monitoring using objective technology
- Internal load monitoring using athlete-reported effort (Correct answer)
- Biomechanical load monitoring using force plate data
- Physiological load monitoring using blood lactate
Correct answer: Internal load monitoring using athlete-reported effort
sRPE × duration is an internal load method because it captures the athlete's perceived physiological and psychological stress response to training.
CSCS Data Analysis & Reporting 4
A strength coach uses GPS tracking data during practice.
Athletes show average high-speed running distances of 450 ± 85 m.
Which statistical term does '± 85 m' represent?