Flourishing and its major indicators in school-going Indian adolescents
Flourishing and its major indicators in school-going Indian adolescents
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Date
2016-05-01
Authors
Durgesh Nandinee
Journal Title
Journal ISSN
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Publisher
University of Hyderabad
Abstract
Research on adolescence—the second decade of life—has focused predominantly on
adolescent’s negative characteristics, which is not enough to understand the underlying
complexities. Therefore, this study emphasizes on adolescent’s flourishing—a positive
dimension of mental health continuum—which is a relatively new construct. The main
objectives of the study are to assess the level of flourishing in school-going Indian
adolescents across two types of school and gender, and to identify its major indicators.
The study has explored the occurrence of natural groups among these adolescents using
cluster analysis in terms of their flourishing and measured variation between these natural
groups on the indicators of flourishing. The study has also attempted to explore the
adolescents’ lived experiences to understand the dynamics of their flourishing. On the
basis of the review of literature, hypotheses have been formulated to address all the
objectives except the last one as it has been addressed by the qualitative research method.
The study is based on sequential mixed method design. In the first phase, under the
framework of quantitative research design, the study has adopted a prospective, more than
one independent variable, factorial design developed under the ex post facto approach. As
there are two factors, a 2 (School) x 2 (Gender) factorial design has been adopted. In the
second phase, under the framework of qualitative research design, the study is based on
Interpretative Phenomenological Analysis for understanding the process and identifying
the dynamics of flourishing in school-going Indian adolescents. The sample comprises of
400 school-going Indian adolescents, who are in their late adolescence phase and selected
by multistage sampling. After obtaining the ethical approval of the Institutional Ethics
Committee of the University, five measures, such as Mental Health Continuum-Short
Form, Modified Differential Emotional Scale, Personal Growth Initiative Scale, Sources of
Adolescent’s Happiness Scale, and Big Five Inventory-10 have been administered in smallgroups. In addition to this, individual in-depth interview sessions have been conducted on
five flourishing and five languishing participants. The obtained quantitative data have
been analysed by means of Mean, SD, 95% Confidence Interval, 2 X 2 Between-subjects
ANOVA, Pearson’s r, hierarchical regression analysis, k-means cluster analysis, t-test, and
Cohen’s d. In addition to these, exploratory factor analysis, confirmatory factor analysis,
and Cronbach’s alpha have been used to develop Sources of Adolescent’s Happiness
Scale. The qualitative data have been analysed by means of data driven thematic analysis.
The findings of the study have revealed that the Indian adolescents do not vary in terms of
their level of flourishing across school and gender. It is observed that 6.2% participants are
flourishing, 83.8% are moderately mentally healthy, and 10% are languishing. The study,
however, has identified seven major indicators of adolescent’s flourishing. Cluster
analysis has revealed two natural groups (high flourishing and low flourishing) and these
two groups have been found to be significantly different from each other in terms of the
indicators of flourishing. In addition to this, the study has contributed a specific
instrument—SAHAS—to measure the sources of adolescent’s happiness. The findings
have also unfolded eight facilitating factors and seven barriers in the form of a functional
model of the dynamics of adolescent’s flourishing, which would help in developing
intervention programme for fostering flourishing during adolescence, theory generation,
and theory verification. Limitations and future direction are discussed along with the
implications in terms of assessment and evaluation, intervention, and theory generation
and verification