Happiness, self-compassion, and insomnia predicting academic achievement among middle school students with learning difficulty: An optimal function analysis model using Response Surface Methodology

Authors

  • Sudha R Avinashilingam Institute for Home Science and higher Education for Women
  • Sathya
  • Gayatridevi. S

Keywords:

Happiness, self-compassion, insomnia, response surface methodology

Abstract

Students who do not have sufficient academic achievement suffer a great deal of associated issues. They spent a lot of time in academics and loose out on many other aspects of their life, affecting their well-being. This study attempts to develop an optimal functioning model of academic achievement through factors that are helpful for their well-being such as happiness and self-compassion. Also, the optimal influences of insomnia are indicated. 196 students from classes 5 to 7, of ages 11 to 14 years were assessed using the Bergen Insomnia Scale (Pallesen, et al, 2008), Self-Compassion Scale Youth Version (SCS-Youth) (Neff et al, 2021) and the Subjective Happiness Scale (Lyubomirsky, 1999). Response Surface Methodology using the design expert 13 is used to arrive at an optimal model. The model fitness indicates that high levels of happiness and compassion towards self, accompanied by low levels of insomnia optimizes academic achievement for students with difficulties in academics.

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Published

21-10-2023

How to Cite

Happiness, self-compassion, and insomnia predicting academic achievement among middle school students with learning difficulty: An optimal function analysis model using Response Surface Methodology. (2023). Indian Journal of Clinical Psychology, 49(04). https://ojs.ijcp.co.in/index.php/ijcp/article/view/411

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