What type of data is most likely used in quantitative evaluation?

• A. Numerical scores.
• B. Personal stories.
• C. Feelings about the trainer.
• D. Anecdotal impressions.

Answer: (A)

Quantitative evaluation relies on numbers that you can measure, compare, and analyze statistically. Numerical scores fit this approach because they turn performance into a numeric value that can be averaged, tracked over time, and compared across groups. This enables objective assessment and benchmarking.

Personal stories, feelings about the trainer, and anecdotal impressions are qualitative data. They provide rich, descriptive insights about experiences, but they don’t yield numbers you can readily analyze statistically. They’re valuable for depth and context, yet not suited for the numerical analysis central to quantitative evaluation.

So, numerical scores are the data type best aligned with quantitative evaluation.