Survey for Attitude Self Reflection and Conscience

These insights provide valuable information about students’ perceptions and beliefs in the domains of attitude, self-reflection, and conscience. The dataset sheds light on their positive orientations, self-awareness, and moral values, which collectively contribute to a holistic understanding of their overall well-being.

Key Insights:

  • Attitude: The mean responses in this domain were high, suggesting that the students generally felt positive about their attitudes, especially concerning habits like eating a balanced diet and feeling enthusiastic during academic activities.
  • Self-Reflection: Students also displayed a positive trend in self-reflection. They seem to have a good sense of self-awareness, with many acknowledging their strengths and weaknesses.
  • Conscience: This domain had the highest mean scores. Students seemed to exhibit strong feelings of purpose in life, and many appeared to engage in activities that align with having a clear conscience, such as donating to charity and attending religious ceremonies.

Mean Values of Survey Questions with Standard Error

Explanation of the Bar Chart:

Mean Values of Survey Questions with Standard ErrorThe bar chart provides a visual representation of the average responses from participants to various survey questions focused on their attitudes, self-reflection habits, and conscience. These questions cover a broad spectrum of life aspects, from dietary choices and exercise routines to feelings of belongingness and spiritual inclinations.

Key Features:

  1. Questions: Each horizontal bar corresponds to a unique survey question presented in English.
  2. Mean Values: The length of each bar represents the average response for its respective question. Given the presumed response scale (not explicitly provided but possibly a 1-5 or 1-7 scale), a higher mean value indicates that respondents generally agreed or resonated more with the statement. Conversely, lower mean values may indicate neutrality or disagreement.
  3. Error Bars: Alongside each bar, error bars illustrate the standard error for the mean values of the corresponding questions. The standard error serves as an indicator of uncertainty or variability in the data. A more extended error bar suggests a wider spread in responses for that question, while a shorter one indicates more consistency among the participants.
  4. Categorization: The questions are grouped into three primary sections: Attitude, Self-reflection, and Conscience. Each category concludes with a total, aggregating the measures for that section.


Analyzing the chart allows for a better understanding of the general sentiments and perceptions of the survey participants concerning the various life aspects explored. Questions with higher means indicate stronger agreement or alignment with the presented statement, while those with lower means suggest neutrality or potential disagreement.

The inclusion of error bars adds depth to the interpretation, showcasing the spread or consistency of the answers. Questions with larger error bars received more varied responses, hinting at diverse opinions or experiences among the respondents.

In essence, this chart offers a concise visual summary of participants’ views on a series of life-related statements, proving instrumental for insights extraction and subsequent decision-making based on the survey results.

Proportional Distribution of Mode Values Across Survey Questions

Explanation of the Pie Chart:

Proportional Distribution of Mode Values Across Survey QuestionsThe presented pie chart offers a comprehensive visualization of the distribution of the most common responses, or modes, given by participants across the survey questions. Each segment of the chart corresponds to a distinct mode value, which is a specific rating or response that appeared most frequently for one or multiple questions.

Key Features:

  1. Segments and Mode Values: The segments are differentiated by unique colors, with each color representing a distinct mode value. The size of each segment is proportional to how often that mode value was the most frequent response across the various survey questions.
  2. Percentage Labels: Each segment is annotated with a percentage, indicating the proportion of questions for which that particular mode value was the most common response. This allows for a quick understanding of the relative popularity of each mode value.


By examining the chart, one can discern which response values were most frequently the most popular choices among the survey participants. For instance, if a large segment of the pie chart represents the mode value “4,”.

It suggests that “4” was the most common response for a significant portion of the survey questions. Conversely, smaller segments point towards mode values that were less frequently the most popular choices.

Such a visualization is particularly valuable for gauging collective sentiments or inclinations. If a majority of the segments indicate higher mode values, it suggests that the general sentiment was positive or in agreement with the survey statements.

Conversely, if most segments denote lower mode values, it could imply neutrality or disagreement with the presented statements.

In conclusion, this pie chart provides a holistic view of the predominant responses across the survey, allowing stakeholders to quickly grasp the collective pulse of the surveyed group concerning various life aspects.

Skewness and Kurtosis of Survey Responses

Explanation of the Bar Chart:

Skewness and Kurtosis of Survey ResponsesThe displayed bar chart represents the skewness and kurtosis of the responses across the survey questions.

  • Skewness: This measure indicates the degree of symmetry in the distribution of responses. The blue bars represent the skewness values for each question. If a bar is above the x-axis, it suggests that the responses for that question are skewed to the right, indicating a predominance of higher values. Conversely, if a bar is below the x-axis, the distribution is skewed to the left, indicating a predominance of lower values. A bar near the x-axis suggests a more symmetrical distribution of responses.
  • Kurtosis: This measure describes the “tailedness” or shape of the response distribution. The red bars represent the kurtosis values for each question. Bars above the x-axis indicate a distribution with heavier tails and a more peaked center than the normal distribution, suggesting more extreme responses. Bars below the x-axis indicate a distribution with lighter tails and a less peaked center, suggesting more moderate responses.

By analyzing this chart, insights can be gained into the symmetry and shape of the response distributions for each question. This is valuable for understanding the nature of the responses and determining if there are specific trends or outliers in the data.

Data Source:

Attitude Self Reflection and Conscience / Canva
Attitude Self Reflection and Conscience