Covid 19 Öncesi ve Sonrası Algılanan Mutluluk

Abstract

Bireyin hayatına dair hissettiği pozitif duygular mutluluk olarak tanımlanır. Ayrıca mutluluk bireyin içinde bulunduğu psikolojik, sosyolojik, ekonomik ve siyasal durumlardan etkilenir. Hükümetlerin ve Dünya Sağlık Örgütünün (WHO) bile hazırlıksız olarak yakalandığı COVID-19 pandemi sürecinde yaşanan belirsizlik ve endişeler insanların güvenini sarsmıştır. Süreç boyunca yaşanan sosyal etkileşimlere getirilen kısıtlamalar, yalnızlık ve izolasyon duygularının yanı sıra insanlar işlerini ve geçim kaynaklarını kaybetmişlerdir. Küresel düzeyde yaşanan bu olumsuz sürece Türkiye`de maruz kalmıştır. Bu çalışmanın amacı, Türkiye İstatistik Kurumu (TUİK) yaşam memnuniyeti anket verilerinden yola çıkarak, Covid-19 öncesinde ve sonrasında bireylerin mutluluk algısı üzerindeki değişimi etkileyen değişkenleri ve değişimleri incelemektir. Büyük veri setlerinde gereksiz verilerin analizlerden çıkarılması için özellik seçim algoritmaları kullanılır. Bu işlemler hem modellerin performanslarını artırır hem de analiz sürecinin hızlanmasını sağlar. Bu çalışmada makine öğrenimi özellik seçimi algoritmalarından olan Boruta ve Korelasyon tabanlı özellik seçim algoritmaları kullanılmıştır. Çalışma sonucunda mutluluğu etkileyen belli değişkenlerin yine mutluluk kavramı için önemli oldukları görülürken, Covid 19 sonrasında mutluluk kavramında özellikle işinden memnuniyet, işsiz olmak ve ucuz ürün tüketimi değişkenlerinin ön plana çıktığı tespit edilmiştir.

Keywords

• Covid 19
• Mutluluk
• Yaşam Memnuniyeti
• Umut
• Boruta

Happiness in Individuals Before and After COVID 19

Abstract

The positive affect experienced by an individual in regard to their life is defined as happiness. Furthermore, an individual's happiness is influenced by a multitude of factors, including their psychological, sociological, economic, and political circumstances. The uncertainty and concerns experienced during the global pandemic caused by the novel coronavirus, which even governments and the World Health Organization were unprepared for, have eroded people's trust in the institutions responsible for safeguarding their wellbeing. Furthermore, the restrictions on social interactions experienced throughout the process have resulted in feelings of loneliness and isolation. Additionally, there has been a significant loss of employment and livelihoods. Turkey has also been subjected to this adverse process, which has affected the global population. The objective of this study is to examine the variables and changes that affect the alteration in individuals' perception of happiness before and after the advent of the Covid-19 pandemic, based on the data obtainedfrom the Turkish Statistical Institute (TurkStat) pertaining to the Turkish Life Satisfaction Survey. Feature selection algorithms are employed to eliminate superfluous data from analyses conducted on large data sets. These processes enhance the efficacy of the models and accelerate the analysis process. Boruta and Correlation-based feature selection algorithms, which are machine learning feature selection algorithms, were employed in this study. The findings revealed that while specific variables influencing happiness were pivotal for the concept ofhappiness, job satisfaction, unemployment, and consumption of inexpensive products emerged as salient factorsin the concept of happiness after the advent of the pandemic.

Keywords

• Covid-19
• Happiness
• Life Satisfaction
• Hope
• Boruta

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