Does going to university in a different country affect your mental health? A Japanese international university surveyed its students in 2018 and published a study the following year that was approved by several ethical and regulatory boards.
The study found that international students have a higher risk of mental health difficulties than the general population, and that social connectedness (belonging to a social group) and acculturative stress (stress associated with joining a new culture) are predictive of depression.
Explore the students
data using PostgreSQL to find out if you would come to a similar conclusion for international students and see if the length of stay is a contributing factor.
Here is a data description of the columns you may find helpful.
Field Name | Description |
---|---|
inter_dom | Types of students (international or domestic) |
japanese_cate | Japanese language proficiency |
english_cate | English language proficiency |
academic | Current academic level (undergraduate or graduate) |
age | Current age of student |
stay | Current length of stay in years |
todep | Total score of depression (PHQ-9 test) |
tosc | Total score of social connectedness (SCS test) |
toas | Total score of acculturative stress (ASISS test) |
-- Run this code to save the CSV file as students
SELECT *
FROM 'students.csv';
-- Start coding here...
/*Count the number of records*/
SELECT COUNT(*) AS total_records
FROM students;
/*Count by student type*/
SELECT inter_dom, COUNT(*) As count_inter_dom
FROM students
GROUP BY inter_dom;
/*Count by student type*/
SELECT inter_dom, COUNT(*) As count_inter_dom
FROM students
GROUP BY inter_dom;
/*Count of international students*/
SELECT COUNT(*) As student_type_inter
FROM students
WHERE inter_dom = 'Inter';
/*Count of domestic students*/
SELECT COUNT(*) As student_type_dom
FROM students
WHERE inter_dom = 'Dom';
/*Count of entries with null student type*/
SELECT COUNT(*) As student_type_null
FROM students
WHERE inter_dom IS NULL;
/*Summary stats for _phq for all students*/
SELECT MIN(todep) As min_phq, MAX(todep) As max_phq,
ROUND(AVG(todep), 2) As avg_phq
FROM students;
/*Summary stats for _scs for all students*/
SELECT MIN(tosc) As min_scs, MAX(tosc) As max_scs, ROUND(AVG(tosc), 2) As avg_scs
FROM students;
/*Summary stats for _as for all students*/
SELECT MIN(toas) As min_as, MAX(toas) As max_as, ROUND(AVG(toas), 2) As avg_as
FROM students;
/*Summary stats for _as for international students only*/
SELECT inter_dom, MIN(todep) As min_tophq, MAX(todep) As max_tophq,
ROUND(AVG(todep), 2) As avg_phq
FROM students
WHERE inter_dom = 'Inter'
GROUP BY inter_dom;
SELECT inter_dom, MIN(tosc) As min_sc, MAX(tosc) As max_sc,
ROUND(AVG(tosc), 2) As avg_sc
FROM students
WHERE inter_dom = 'Inter'
GROUP BY inter_dom;
SELECT inter_dom, MIN(toas) As min_as, MAX(toas) As max_as,
ROUND(AVG(toas), 2) As avg_as
FROM students
WHERE inter_dom = 'Inter'
GROUP BY inter_dom;
/*Impact of length of stay*/
SELECT
stay,
ROUND(AVG(todep), 2) As average_phq,
ROUND(AVG(tosc), 2) As average_scs,
ROUND(AVG(toas), 2) As average_as
FROM students
WHERE inter_dom = 'Inter'
GROUP BY stay
ORDER BY stay DESC;