Smartphone Addiction
Author:
Richika Jain (021331025335)
Om Malhari Mane (021331025635)
Arshad Karim Shaikh (021331025075)
Introduction
In today’s digital age, smartphones have become an essential part of daily life. They are widely used for communication, education, entertainment, and social interaction. While smartphones offer numerous benefits, excessive usage can lead to dependency and addiction. Smartphone addiction may affect an individual’s mental health, productivity, sleep patterns, and overall well-being. Students, in particular, are highly vulnerable due to continuous academic and social engagement through mobile devices.
This study aims to analyze smartphone usage patterns and understand the level of smartphone addiction among students.
Objective
To study smartphone usage behavior and examine the level of smartphone addiction among students.
Data Collection
To understand the issue of smartphone addiction, five statements were framed using a 5-point Likert scale.
A Google Form was designed using the Likert scale.
The responses were coded as follows:
- 1 – Strongly Agree
- 2 – Agree
- 3 – Neutral
- 4 – Disagree
- 5 – Strongly Disagree
Students were asked to respond to the questionnaire, and the collected data was downloaded in Excel format. For each question, Mean, Standard Deviation, Standard Error, and t-statistics were calculated for analysis.
Data Analysis
The following statements were included in the questionnaire:
Q1: I use my smartphone a lot every day.
Q2: I feel uncomfortable without my smartphone.
Q3: I check my smartphone in the morning.
Q4: I use my smartphone before sleeping.
Q5: I want to reduce my smartphone use.
Statistical Summary Table
|
Particulars |
Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
|
Mean |
2.53 |
2.92 |
2.76 |
2.89 |
2.74 |
|
Standard Deviation |
1.41 |
1.40 |
1.42 |
1.42 |
1.48 |
|
Standard Error |
0.12 |
0.12 |
0.12 |
0.12 |
0.13 |
|
T-Statistics |
-1.96 |
-1.67 |
-1.77 |
-1.67 |
-17.18 |
|
Interpretation |
Disagree |
Neutral |
Neutral |
Neutral |
Disagree |
Interpretation Criteria
- When t-statistic lies between +1.96 and −1.96, students are neutral.
- When t-statistic is greater than +1.96, students agree with the statement.
- When t-statistic is less than −1.96, students disagree with the statement.
Interpretation
- Q1: Indicates students’ perception regarding frequent smartphone usage.
- Q2: Reflects emotional dependence on smartphones.
- Q3: Shows habitual behavior of checking smartphones after waking up.
- Q4: Represents smartphone usage affecting sleep patterns.
- Q5: Highlights students willingness to reduce smartphone usage.
Based on the calculated t-statistics, responses may reflect agreement, neutrality, or disagreement for each statement, indicating varying levels of smartphone dependency among students.
Conclusion
The study reveals important insights into smartphone usage and addiction patterns among students. The results indicate that smartphones play a significant role in students’ daily routines, with many displaying habitual and emotional dependence. While some students acknowledge excessive usage and express a desire to reduce screen time, others remain neutral, indicating mixed perceptions.
Overall, the findings highlight the growing concern of smartphone addiction and emphasize the need for awareness, self-control, and balanced smartphone usage to improve students’ mental health, productivity, and overall well-being.