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
A CSCS practitioner uses linear regression to predict 1RM bench press from a 3RM test. The R² value is 0.91. What does this indicate?
Answer: 91% of variance in 1RM is explained by the 3RM test score
R² (coefficient of determination) indicates the proportion of variance in the dependent variable (1RM) explained by the predictor variable (3RM test).
When conducting athlete performance reviews, which data reporting practice best supports athlete buy-in and long-term development?
Answer: Providing individualized comparisons to personal bests alongside group norms
Combining individual progress tracking with normative context gives athletes both personal motivation and a sense of where they stand, supporting engagement and development.
A team's average vertical jump improves from 24 to 26 inches after a 10-week program. The standard deviation is 3 inches. What is the effect size (Cohen's d)?
Answer: 0.67
Cohen's d = (26-24)/3 = 2/3 ≈ 0.67, which represents a medium-to-large effect size for the training intervention.
In a CSCS testing environment, 'ecological validity' refers to:
Answer: Whether the test results generalize to actual sport performance conditions
Ecological validity describes how well laboratory or controlled test conditions reflect real-world sport performance contexts.
A strength coach is analyzing training logs and notices an athlete's weekly load data are not normally distributed. Which non-parametric test should replace the paired t-test for pre/post comparison?
Answer: Wilcoxon signed-rank test
The Wilcoxon signed-rank test is the non-parametric alternative to the paired t-test, used when data violate normality assumptions.
An athlete monitoring dashboard shows a 'traffic light' system where green = normal, yellow = caution, and red = concern. The thresholds are based on ±1 SD (yellow) and ±2 SD (red) from an athlete's baseline. This approach is an example of:
Answer: Individual athlete threshold-based monitoring
Using each athlete's own baseline and individual standard deviations as thresholds is individual-based monitoring, which accounts for athlete-to-athlete variability.
Which of the following is the most critical consideration when selecting normative data tables to compare an athlete's performance results?
Answer: The normative group should match the athlete in age, sex, sport, and training status
Meaningful normative comparisons require that the reference group closely matches the athlete in key demographic and training characteristics.