EVALUATING THE SYMPTOMS OF COMPUTER VISION SYNDROME (CVS) A SAMPLE OF SECOND-YEAR PSYCHOLOGY STUDENTS, AT THE FACULTY OF HUMAN AND SOCIAL SCIENCES, UNIVERSITY OF MOULOUD MAMMERI, TIZI OUZOU

Abstract

This study aimed to evaluate the symptoms of Computer Vision Syndrome (CVS) among a sample of
second-year psychology students at the Faculty of Humanities and Social Sciences at Mouloud Mammeri
University of Tizi Ouzou. The research sample included 30 students studying in the second year of
psychology at the Faculty of Humanities and Social Sciences. , Mouloud Mammeri University of Tizi
Ouzou, were chosen randomly without any considerations. To achieve the purposes of this study, the
researcher relied primarily on the questionnaire tool (the questionnaire was downloaded from the website:
https://concerto.cvss17.com/test/cvss17eng). The questionnaire consists of seventeen items that measure the
most comprehensive computer vision syndrome, and the weights of the items were (according to a Likert
scale). The descriptive approach was used. The statistical methods used to analyze the data: the Shapiro-
Wilk Test distribution for data, and the reason for its selection is due to the size of the chosen sample (from
50 or less), unlike the Kolmogorov-Smirnov test, which is suitable for sample size (from 50 or more), and
the Cronbach’s alpha test to calculate reliability. test for reliability, Independent Sample T test to test the
hypothesis of differences between means between two independent groups (males, females) in the symptoms
of computer vision syndrome, arithmetic average, standard deviation, frequencies, percentages