Student Depression Data for Psychological Assessment

Student Depression Dataset contains 2000 student records collected to aid in predicting depression. The dataset is tagged for Psychological Assessment, Student Mental Health, and Academic Well Being.

Use Cases

• Predict depression risk using student demographic and behavioral features from the 2000 records.
• Analyze correlations between academic well-being indicators and mental health outcomes.
• Build a classification model for psychological assessment based on student survey data.

Strengths

• Contains 2000 student records, providing a substantial sample size for analysis.
• Focuses on the specific domain of student mental health and depression prediction.
• Includes tags indicating relevance for psychological assessment and academic well-being research.

Limitations

• The specific columns and features are unknown, limiting understanding of the data's analytical scope.
• Sample data and file formats are unavailable, hindering preliminary evaluation.
• No information on data collection methodology, geography, or time range is provided.