Interpreting Descriptive Stats

Interpreting Descriptive Stats

- Hạnh HUF04 Võ Thị Bích の投稿

From my questionnaire on using Kahoot in learning, the mean score for student motivation was M = 4.12 (SD = 0.68) on a 5-point Likert scale. The median and mode were both ...

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From my questionnaire on using Kahoot in learning, the mean score for student motivation was M = 4.12 (SD = 0.68) on a 5-point Likert scale. The median and mode were both 4, indicating that most students agreed that Kahoot increased their motivation.

The central tendency values suggest that responses are generally high and consistent, meaning students have positive attitudes toward Kahoot. The small standard deviation shows that most responses are clustered around the mean, so there is not much variation.

One surprising finding is that engagement had a slightly lower mean (M ≈ 3.85) compared to motivation. This suggests that although students feel motivated, not all of them actively participate at the same level.

There is no strong evidence of outliers, and the data appears slightly negatively skewed, as more students selected higher values (4–5). Overall, the results indicate that Kahoot is positively perceived, especially in terms of motivation

Interpreting Descriptive Stats

- Nguyễn Ngọc Quỳnh Như HUF04 の投稿
your interpretation is concise and well-reasoned. You effectively translated the statistical outputs into meaningful pedagogical insights, particularly regarding the gap ...

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your interpretation is concise and well-reasoned. You effectively translated the statistical outputs into meaningful pedagogical insights, particularly regarding the gap between motivation and engagement. The use of terminology like 'negative skew' and 'standard deviation' is accurate and demonstrates a solid grasp of descriptive statistics.