Question 1
Which of the following best illustrates qualitative player data collected during a post-game interview?
- A. The number of goals scored by each player in the season
- B. The average distance run per player during the game
- C. The player's description of team morale after the match
- D. The player's passing accuracy percentage
- E. The height of each player on the roster
Question 2
A researcher categorizes feedback as 'helpful', 'neutral', or 'unhelpful' from players during training sessions. What type of data classification is primarily being used?
- A. Quantitative continuous
- B. Quantitative discrete
- C. Qualitative ordinal
- D. Quantitative interval
- E. Quantitatve nominal
Question 3
Which scenario is an example where quantitative data would be inappropriate to fully capture a player’s motivation?
- A. Recording how many minutes a player spends in practice
- B. Assigning a numerical score to how motivated a player sounds during an interview
- C. Using a coach’s written observations about a player’s enthusiasm
- D. Counting how many matches a player starts in one month
- E. Tabulating the number of wins contributed by a player
Question 4
Which of the following methods best transforms qualitative player feedback into a format suitable for quantitative analysis?
- A. Filming player interviews for training purposes
- B. Conducting phone interviews for player experiences
- C. Assigning sentiment scores (e.g., positive, neutral, negative) to player statements
- D. Listing players by their jersey numbers
- E. Measuring vertical jump height during testing
Question 5
When collecting data on players’ preferred playing positions (goalkeeper, defender, midfielder, forward), which type of data is being gathered?
- A. Qualitative nominal
- B. Qualitative interval
- C. Quantitative continuous
- D. Quantitative ordinal
- E. Quantative discret
Question 6
A coach records the number of times a player successfully completes a dribbling drill out of five attempts. Which term best describes the data type collected?
- A. Quantitative discrete
- B. Qualitative ordinal
- C. Quantitative continuous
- D. Qualitative nominal
- E. Quantitiative interval
Question 7
If a player's post-match survey response states, 'The practice was exhausting but rewarding,' this response is an example of which data type?
- A. Quantitative continuous
- B. Qualitative narrative
- C. Quantitative ratio
- D. Qualitative nominal
- E. Quantitative discreate
Question 8
What is the primary limitation of relying solely on quantitative player data when evaluating player leadership qualities?
- A. It may accurately measure communication skills
- B. It emphasizes subjective player perception
- C. It may overlook contextual and behavioral insights
- D. It ensures in-depth narrative feedback is collected
- E. It measures motivational effects directly
Question 9
To measure improvements in technical skills, a coach uses both video footage of practice sessions and average drill completion times. What approach is the coach using?
- A. Quantitative-only analysis
- B. Qualitative-only analysis
- C. Mixed-methods analysis
- D. Discrete quantitative analysis
- E. Ordinal qualitative assessment
Question 10
Which description most clearly distinguishes qualitative from quantitative player data when analyzing game performance?
- A. Quantitative data is always subjective; qualitative data is always objective
- B. Qualitative data describes experiences and observations; quantitative data measures with numbers
- C. Both data types always use numerical scales
- D. Qualitative data is used only for training; quantitative data is for matches
- E. Quantitative data describes emotions; qualitative data counts statistics