Student Mental Health Survey Dataset

Student Mental Health Survey Dataset

Datasets

Student Mental Health Survey Dataset

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Student Mental Health Survey Dataset

Use Case

Student Mental Health Survey Dataset

Description

Explore the Student Mental Health Survey dataset offering detailed insights into student demographics, academic pressure, lifestyle habits, mental health challenges.

Description:

This dataset provides a comprehensive overview of various factors influencing the mental health and well-being of university students. The dataset aims to facilitate research on student mental health by offering detailed demographic, academic, lifestyle, and emotional data.

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Key Aspects Covered in the Dataset:

  1. Demographics: The dataset captures a wide array of student demographics, including gender, age, nationality, and university affiliation. This enables researchers to study mental health trends across different groups.
  2. Academic Information: Detailed academic information is included, covering the student’s degree level (undergraduate, graduate, or postgraduate), major or field of study, academic year, and current cumulative grade point average (CGPA). These insights help to correlate academic performance and discipline with mental health status.
  3. Residential and Campus Experience: The dataset records the student’s residential status (e.g., on-campus, off-campus, or commuting) and their experiences with discrimination, harassment, or bullying. These factors are critical for understanding how the social environment impacts student well-being.
  4. Lifestyle Factors: Data on students’ lifestyle habits are included, such as the frequency of physical activity or sports engagement and the average number of hours they sleep per night. These habits are essential to assess the influence of lifestyle on mental health outcomes.

Satisfaction and Perception:   

  1. The survey includes questions about students’ satisfaction with their chosen field of study, the perceived relevance and difficulty of their academic workload, and how these factors affect their overall motivation and stress levels.

  2. Psychological Well-being: The dataset captures psychological health indicators, such as the frequency of experiencing depression, anxiety, social isolation, and insecurity about the future. This information is pivotal for understanding the psychological pressures students face in academic settings.
  3. Stress and Coping Mechanisms: In addition to mental health challenges, the dataset delves into the activities and methods students use to cope with stress, whether through social engagement, hobbies, counseling, or other stress-relief techniques.
  4. Financial and Social Pressures: Students’ financial concerns and the quality of their social relationships on campus are explored to identify external pressures that may contribute to mental health challenges.
  5. Future Aspirations and Uncertainty: The survey also investigates students’ concerns about their future, including career prospects and personal development goals, further shedding light on how these uncertainties impact their mental well-being.

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