The document summarizes a research study on the relationship between time spent looking at screens and emotional stress among college students in Kuala Lumpur during the COVID-19 pandemic. It includes sections on the introduction, research questions, surveys used to collect demographic and stress level data, data analysis methods, limitations, and conclusions. The main findings are that increased time spent on screens is associated with higher stress levels in students and differences in stress levels between male and female students. Analysis of the data was limited by only having access to a free trial version of analysis software.

1. Research Title:
The relationship between the time spent looking
on the screen and emotional stress among
students in a college in Kuala Lumpur.

2. Introduction
• Independent variable: Time spent looking on the screen
• Dependent variable: Emotional stress
• Population: College students
• Sample: 66 college students (n≥30) large sample
• 5 descriptive research questions
• Section A: Demographic Question
• Section B: Emotional Stress Test
• 5 inferential research questions

3. • The survey is created, because the college is close due to
the coronavirus pandemic.
• Therefore, the education system is conducted online for
the health safety of the students.
Reason for this Survey?

4. Section A:
Demographic Question

16. Section B:
Emotional Stress Test

17. 1. I forget easily.
2. I struggle to focus well.
3. I think too much.
4. I worry too much.
5. I cry easily.
6. I get angry easily.
7. I find things unable to accept easily.
8. I feel like being left out.
9. I prefer to be on my own.
10. I feel headaches often.
11. I feel neck pain / back pain / muscle
cramps often.
Using the scale to rate:
0 = Not at all / 1 = Rarely / 2 = Occasionally / 3 = Often / 4 = Mostly
12.I have problems with diarrhea or
constipation.
13.I have problems with nausea and dizziness.
14.I feel chest pain often.
15.I have frequent colds or flu.
16.I tend to eat too much or too little.
17.I tend to sleep too much or too little.
18.I tend to stay away from others.
19.I tend to procrastinate or neglect
responsibilities.
20.I have nervous habits, such as nail biting or
walk very fast.

19. Inferential Research
Questions

20. Q1. Is there a relationship between the time spent
looking on the screen and emotional stress?
• Yes, the respondents
spent 7.90 hours on
average to look on the
screen in a day with
the majority of five to
six hours are
experiencing
moderate emotional
stress, which is 43.9%.
Chi-square

21. • Yes, the respondents
spent 7.90 hours on
average to look on
the screen in a day
with the majority of
five to six hours
where 4.21 hours on
average to study in a
day with the majority
of six to seven hours
are involving on
looking on the screen.
Q2. Is there a relationship between the time
spent looking on the screen and studying hours?
Chi-square

22. Q3. Is there a relationship between
emotional stress and sleeping hours?
• Yes, the respondents
spent 7.36 hours on
average to sleep in a
night with the majority
of eight to nine hours.
• As a result, the majority
of the respondents are
experiencing moderate
emotional stress, which
is 43.9% and mild
emotional stress, which
is 42.4%.
Chi-square

23. Q4. Is there any relationship between the time spent
looking on the screen and sleeping hours?
• Yes, the respondents
who spent 7.90 hours
on average to look on
the screen in a day
with the majority of
five to six hours would
spend 7.36 hours on
average to sleep in a
night with the
majority of eight to
nine hours.
Chi-square

24. Q5. Is there a difference in emotional stress
between male and female students?
• Yes, the male
students are
feeling mild
emotional stress
whereas the
female students
are feeling
moderate
emotional stress.
Chi-square

25. Organizing and
Summarizing Data

26. 1. Gender
• Mode = 47 (female)
• Mean = 33
• Median = 33
• Standard deviation = 14
2. Age
• Mode = 21 (age 20)
• Mean = 8.25
• Median = 10
• Standard deviation = 7.7
3. Emotional Stress Level
• Mode = 29 (Moderate)
• Mean = 13.2
• Median = 4
• Standard deviation = 12.54

27. Analyzing Data
1. Pearson’s Correlation
2. ANalysis Of VAriance (ANOVA)
3. Chi-Square
• After conducting 3 methods, it concludes that there is no
significant difference between the emotional stress levels
that are caused by the hours of looking at the screen.
Everyone is equally stressed.

28. Limitations
• Since the college is closed, no access to IBM SPSS Statistics on the computers at the
library to do the data analysis. Using the free trial version is complicated to use.
• The online version is used as an alternative, because it has (1) intelligent algorithm (2)
remarkable consistency (3) easy processing (4) solves problems and (5) data security.
• Unfortunately, it only analyses 50 samples (75.76%), leaving 16 samples (24.24%) which
are not analysed. However, most of the collected samples are analysed in general.
• Since this is the first time doing the data analysis, the result of the data analysis has
given a brief idea of how it works for Pearson’s Correlation, ANOVA and Chi-square
when answering the inferential research questions.

29. Conclusion
• It concludes that with the increase of hours staring at the screen,
it will cause students to have a change in their emotion, behavior
and physical state (some of them will get sick and uneasy). This
will cause the emotional stress level of students to increase.
• To combat and improve on this issue, lecturers can consider:
 Decreasing the online lecture hours
 Encouraging students to do more self-studies

30. THANK YOU