This is an update on my previous answer for analysing the questionnaire on User Perceptions of AI Tools in Linguistics Studies.
Please click here for the Output Tables: here...
Please click here for the Output Tables: here...
This is an update on my previous answer for analysing the questionnaire on User Perceptions of AI Tools in Linguistics Studies.
Please click here for the Output Tables: here
1. The Central Tendency Values (Mean, Median, Mode)
Mean: For all statements, the mean values are close to 4 (ranging from 3.80 to 4.01). Based on a scale where 4 represents "Agree," this suggests that on average, respondents agree with the positive statements about AI tool usability.
Median: The median for all statements is 4.00. This reinforces the idea that at least half of the respondents rated the statements as "Agree" or higher.
Mode: The mode for all statements is 4. This indicates that "Agree" is the most frequent response for every statement.
These consistent central tendency values across all usability aspects suggest a strong consensus among the respondents that the AI tools are user-friendly, easy to learn, efficient, and well-designed.
2. Most Surprising Finding
The most surprising finding is in the statement: "I can find the features I need in the AI tools without difficulty."
While positive, this statement has the lowest mean (3.80) and the highest percentage of "Neutral" responses (31.7%) and "Disagree" responses (4.1%) compared to other statements. Conversely, it has the lowest percentage of "Strongly Agree" responses (19.6%).
This suggests that while users generally find the tools easy to use, a noticeable portion of the sample encounters some difficulty in finding specific features. This indicates an area for improvement in the AI tools' interface design or feature discoverability.
3. Issues with Outliers or Skewness
The "Descriptive Statistics" table provides skewness values for each statement:
+ Skewness values are all negative, ranging from -0.010 to -0.410.
+ Standard Error of Skewness is consistently 0.148.
Since all skewness values are negative, it indicates that the distributions are negatively skewed (or left-skewed). This means that the tail of the distribution is longer on the left side, and the majority of the data points are concentrated towards the higher end of the scale ("Agree" and "Strongly Agree").
Conclusion:
There are no significant issues with outliers in the provided data. The skewness values, while negative, are not extremely large (>-2 and <2), suggesting that while there's a tendency towards positive responses, there aren't likely extreme outliers pulling the mean significantly in one direction.
The negative skewness is consistent with the high mean, median, and mode values, all indicating a strong positive response towards the AI tools. The negative values confirm the trend of more "Agree" and "Strongly Agree" responses.
Inferences and Insights
- High Usability Perception: The AI tools are generally perceived as highly usable across various aspects, including ease of navigation, learnability, user-friendliness of design, clarity of instructions, and efficiency.
- Feature Discoverability as a Potential Area for Improvement: The slightly lower scores and higher neutrality/disagreement for "I can find the features I need in the AI tools without difficulty" suggest that while the tools are generally good, there might be room to enhance with better labeling, improved search functionalities, or more intuitive placement of less-used features.
- Strong Positive Consensus: The consistent central tendency measures (mean, median, mode) and the negative skewness across all statements highlight a strong positive consensus among the respondents regarding the usability of the AI tools. This indicates that the tools are well-received by their users.
- Reliable Data (within the scope of this analysis): The "N Valid" of 271 for all statements and "Missing" of 0 indicate a complete dataset for the analysis, suggesting reliability in the reported frequencies and statistics.
Please click here for the Output Tables: here
1. The Central Tendency Values (Mean, Median, Mode)
Mean: For all statements, the mean values are close to 4 (ranging from 3.80 to 4.01). Based on a scale where 4 represents "Agree," this suggests that on average, respondents agree with the positive statements about AI tool usability.
Median: The median for all statements is 4.00. This reinforces the idea that at least half of the respondents rated the statements as "Agree" or higher.
Mode: The mode for all statements is 4. This indicates that "Agree" is the most frequent response for every statement.
These consistent central tendency values across all usability aspects suggest a strong consensus among the respondents that the AI tools are user-friendly, easy to learn, efficient, and well-designed.
2. Most Surprising Finding
The most surprising finding is in the statement: "I can find the features I need in the AI tools without difficulty."
While positive, this statement has the lowest mean (3.80) and the highest percentage of "Neutral" responses (31.7%) and "Disagree" responses (4.1%) compared to other statements. Conversely, it has the lowest percentage of "Strongly Agree" responses (19.6%).
This suggests that while users generally find the tools easy to use, a noticeable portion of the sample encounters some difficulty in finding specific features. This indicates an area for improvement in the AI tools' interface design or feature discoverability.
3. Issues with Outliers or Skewness
The "Descriptive Statistics" table provides skewness values for each statement:
+ Skewness values are all negative, ranging from -0.010 to -0.410.
+ Standard Error of Skewness is consistently 0.148.
Since all skewness values are negative, it indicates that the distributions are negatively skewed (or left-skewed). This means that the tail of the distribution is longer on the left side, and the majority of the data points are concentrated towards the higher end of the scale ("Agree" and "Strongly Agree").
Conclusion:
There are no significant issues with outliers in the provided data. The skewness values, while negative, are not extremely large (>-2 and <2), suggesting that while there's a tendency towards positive responses, there aren't likely extreme outliers pulling the mean significantly in one direction.
The negative skewness is consistent with the high mean, median, and mode values, all indicating a strong positive response towards the AI tools. The negative values confirm the trend of more "Agree" and "Strongly Agree" responses.
Inferences and Insights
- High Usability Perception: The AI tools are generally perceived as highly usable across various aspects, including ease of navigation, learnability, user-friendliness of design, clarity of instructions, and efficiency.
- Feature Discoverability as a Potential Area for Improvement: The slightly lower scores and higher neutrality/disagreement for "I can find the features I need in the AI tools without difficulty" suggest that while the tools are generally good, there might be room to enhance with better labeling, improved search functionalities, or more intuitive placement of less-used features.
- Strong Positive Consensus: The consistent central tendency measures (mean, median, mode) and the negative skewness across all statements highlight a strong positive consensus among the respondents regarding the usability of the AI tools. This indicates that the tools are well-received by their users.
- Reliable Data (within the scope of this analysis): The "N Valid" of 271 for all statements and "Missing" of 0 indicate a complete dataset for the analysis, suggesting reliability in the reported frequencies and statistics.