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Data Analysis & Reporting Flashcards

7 cards from real CSCS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Data Analysis & Reporting flashcards as text

  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?

    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.

  2. When designing a performance test battery report for coaching staff, which principle should guide data visualization choices?

    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.

  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?

    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.

  4. Which of the following best describes 'predictive validity' in the context of performance testing?

    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.

  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?

    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.

  6. What is the purpose of calculating a 95% confidence interval for a performance test result?

    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.

  7. A CSCS practitioner tracks session RPE (sRPE) × duration to quantify training load. This method is an example of which type of load monitoring?

    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.