Comparative Study

Open Access

|

Peer-reviewed

Happiness among graduate and post graduate students

Hetal D. Kavad , Dr. Ashwin Jansari

DIP: 18.02.003/20200502

DOI: 10.25215/2455/0502003

Received: April 05, 2020; Revision Received: May 02, 2020; Accepted: June 25, 2020

Abstract

The present study aimed to know the happiness among graduate and post graduate students. It also aimed to check happiness with reference to gender and type of degree. Happiness Scale (HS–RHMJ) by Himanshi Rastogi and Janki Moorjani (2017) was used. The sample constituted total 120 students out of which 60 were from boys students (30 graduate and 30 post graduate) and 60 from girls students (30 graduate and 30 post graduate). The data was collected from Ahmedabad City. The data was scored, analyzed as per the manual. ‘F’ test was being calculated. The result showed that 1. There is significant difference in the mean score of happiness among the boys and girls students. Therefore it could be said that, the girls students group is having more happiness than boys students group, 2. There is no significant difference in the mean score of happiness among the graduate and post graduate students and 3.There is no significant difference in the interactive effect of the mean scores of happiness with regards to gender and type of degree.

The authors profoundly appreciate all the people who have successfully contributed to ensuring this paper in place. Their contributions are acknowledged however their names cannot be mentioned.

The author declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Hetal D. Kavad @ dev7parmar@gmail.com

Related Content
Happiness among graduate and post graduate students

Total Download: 35 | Total View: 1501

PlumX Matrix

Plum Analytics uses research metrics to help answer the questions and tell the stories about research. Research metrics that immediately measure awareness and interest give us new ways to uncover and tell the stories of research.

Dimensions Matrix

Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. (digital science)

Article Overview

ISSN 2348-5396

ISSN 2349-3429

DIP: 18.02.003/20200502

DOI: 10.25215/2455/0502003

Published in

Volume 05, Issue 2, April-June, 2020

  • 35Downloads
  • 0Citations
  • 1501Views
  • 0Likes
How to Cite
Print
Share
Make a Submission