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a comparative study between covid-19 sufferers and noncovid- 19 sufferers in relation to their wellbeing and adjustment

Authors: Ms. Neeti Manoj Sanghavi; Dr. Shradha Sakatkar;

a comparative study between covid-19 sufferers and noncovid- 19 sufferers in relation to their wellbeing and adjustment

Abstract

A comparative study was conducted to check the comparison of Covid-19 Sufferers and Non Covid-19 Sufferers in relation to their Wellbeing and Adjustment. Data was collected from 60 participants that are 30 Covid-19 Sufferers and 30 Non-Covid-19 Sufferers from Pune city in Maharashtra State only who fall in the age group of 18-25 years. This study employed survey questionnaires that were sent out to the respondents via Google forms- an online survey taking platform. A total of 85 responses were collected out of which only 60 were chosen. Due to Covid-19 protocol, qualitative research could not be followed. The study hypothesized that Covid-19 sufferers will be low on Wellbeing and its sub-factors- Emotional Stability, Sociability, Self-Esteem, Jovial and Happiness compared to Non-Covid-19 sufferers as well as Covid-19 sufferers will be low on Adjustment as compared to Non-Covid-19 sufferers. SPSS Statistics version 20 was used for the data analysis wherein Independent Samples T-test was used for the analysis to compare the means of both the groups since it was found to be suitable in the present study. From the results of the analysis, it was found out through the findings that there was no significant difference between Covid-19 sufferers and Non-Covid-19 sufferers in relation to their Wellbeing and its sub-factors- Emotional Stability, Sociability, Self-Esteem, Jovial and Happiness as well as their Adjustment. In addition, the study indicates that if a wider geographical area was covered for the sample and if the recency of being infected by Covid-19 was taken into consideration, there could have been some drastic results to be noted.

Keywords

COVID-19, Pandemic, Statistics, T-test.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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