Description: This repository contains an exploratory data analysis (EDA) on the Medical Student Mental Health dataset Kaggle dataset, conducted to investigate the relationship between cognitive empathy and academic motivation among males, considering job status as a potential factor. The dataset explores empathy, mental health, and burnout among medical students in Switzerland.
Key Highlights:
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Dataset Overview: The dataset comprises around 886 responses across 20 parameters, including demographic factors and internal measures such as job satisfaction, psychological distress, education grades, self-reported health status, empathy rating scales, and job status.
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Data Cleaning and Preparation: Data cleaning involved filtering for male gender data, selecting relevant variables (AMSP, QCAE_COG, and job), and checking for null values and outliers. Normality tests were conducted using histogram, Q-Q plots, Shapiro-Wilk test, skewness, and kurtosis.
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Data Analysis: The analysis focused on exploring the correlation between Academic Motivation Score (AMSP) and Cognitive Empathy Score (QCAE_COG). Pearson's correlation was used to validate assumptions, indicating a moderate positive correlation between the two variables.
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Statistical Hypothesis Testing: A statistical hypothesis test was conducted to examine the association between AMSP and QCAE_COG with job status as a controlling variable. Partial correlation analysis revealed a similar correlation value, suggesting negligible effect of job status.
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Conclusion: Despite initial indications of non-normality, further analysis confirmed a normal distribution. Results indicated a moderate linear relationship between AMSP and QCAE_COG, unaffected by job status. The plotted confidence intervals and statistical tests supported the findings, highlighting a positive correlation between academic motivation and cognitive empathy among male medical students.
Dataset Citation:
- Carrard, V. (2022, July 01). Dataset for the paper ‘The relationship between medical students’ empathy, mental health, and burnout: A cross-sectional study’ published in Medical Teacher. Dataset Link