Student Psychological Stress Survey Dataset (University of Anbar, Iraq)

Published: 27 March 2026| Version 2 | DOI: 10.17632/428whwsk6c.2
Contributors:
,
, Ahmed Adil Nafea

Description

This dataset contains Likert-scale responses collected from 610 university students at the University of Anbar, Iraq, measuring psychological stress across academic, financial, social, and emotional dimensions. The dataset includes three versions: a raw dataset with demographic variables and questionnaire responses, a preprocessed dataset containing encoded survey items, and a clustering-based dataset with an assigned stress class generated using the K-means algorithm. All questionnaire items are based on a five-point Likert scale ranging from “Never” to “Always”. The dataset is suitable for applications in educational data analytics, mental health assessment, clustering analysis, and machine learning research. It also supports cross-cultural studies, feature engineering, and methodological development for analyzing Likert-scale survey data.

Files

Institutions

Categories

Psychology, Computer Science, Artificial Intelligence, Data Mining, Data Science

Licence