Nitel ve Nicel Araştırma Tasarımı Uygulamasıyla Etanol Kullanımını ve Etkilerinin Anlaşılması

Year 2021, Issue: 32, 40 - 49, 31.12.2021

Özerk Yavuz

https://doi.org/10.31590/ejosat.1039621

Abstract

İnsan türünün alkole olan ilgisi uzun yıllardır bilinmektedir. Fermantasyon ve damıtma tekniklerinin keşfedilmesi ve geliştirilmesine paralel olarak İnsanlar, farklı coğrafyalar, ülkeler ve kültürlerde alkolü kullandılar. Birçok davranış kalıbının analizinde görüldüğü gibi, alkol içmeye ve bu tür davranışların ortaya çıkmasına yol açan çeşitli faktörlerin ve öncüllerin olduğuna inanılmaktadır.

Günümüzde özellikle 21. yüzyılda alkol kullanımı, çeşitli şekillerde önemli bir davranış biçimi haline gelmiş, birçok sosyal ve kültürel ortamlarda popülerlik kazanmıştır. Toplum ve iş ortamındaki değişiklikler yardımıyla birçok organizasyonel ortamda sosyal ve bireysel formlarda yer buldu. İnsanoğlunun alkole olan ilgisi onlarca yıldır bilinmekte ve bunun devam etmesi beklenmektedir. Ancak farklı normlar, gelenekler. değerler. düzenleyici çerçeveler. çevre, grup etkisi, çeşitli mikro ve makro düzeydeki değişkenler doğrudan veya dolaylı olarak alkol tüketimini etkilemektedir. Birçok nesildeki ve yaşam tarsi tercihindeki popülaritesine ragmen, aşırı alkol tüketimi insan sağlığı için çeşitli riskler ve tehlikeler oluşturmaktadır. Literatürde alkol tüketiminin kısa vadeli, uzun vadeli ve aşırı tüketimi ile ilgili çeşitli çalışmalar vardır.Bunları bazı olası faydaları, riskleri ve tehlikeleri içermektedir. Bu çalışmada alkol tüketimi ile ilişkili bazı faktörler derinlemesine görüşmelerden oluşan nitel ve nicel araştırma metodolojilerinin üçgenleme(triangulation) yaklaşımıyla, derinlemesine mülakat, gözlemleme, güdümlü ve güdümsüz makine öğrenmesi gibi veri madenciliği yöntemleri yardımı ile kalitatif ve kantitatif araştırma yöntemleri kullanılarak ilgilili phenomenanın anlaşılması ve uzun vadede karşılaşılabilecek risklerin ve tehditlerin altının çizilmesi maksadıyla uygulanmıştır.

Keywords

Nitel araştırma, Kantitatif Analiz Denetimli Öğrenme, Denetimsiz Öğrenme

Understanding Ethanol Usage and Its Influences by Applying a Qualitative and Quantitative Research Design

Abstract

Human kind’s interest on alcohol has been known for many decades. People used alcohol in different geographies. countries and cultures in parallel to the discovery and development of fermentation and distillation techniques. As seen in the analysis of many behavioural patterns it is believed to be several factors and antecedents that lead to engaging drinking alcohol and such behavior to occur.
Today especially in 21st century alcohol usage became an important behavioral pattern in various contexts and settings and gained popularity in many social and cultural settings. With the help of transitions of the society and business landscape it found place in many organizational settings and landscapes in a more social and individualistic way. Interest of human to alcohol known for many decades and expected to remain. However different norms. traditions. values. approach of regulatory frameworks. environment. group influence have impact on alcohol consumption with several micro and macro level variables directly or indirecatly in a moderating nature. Despite its popularity in many generations. life styles and preferences excessive levels of alcohol consumption constitutes several hazarding risks and dangerous to human health. There are several studies associated with alcohol consumption and its benefits. dangers and risks associated with its short term. long term and excessive usage in literature. In this study some of the factors associated with alcohol consumption is investigated with the triangulation approach of qualitative and quantitative research methodologies composed of in depth interviews. observation and supervised and supervised forms of data ming with the aim of having an comprehensive understanding of the phenomena and highlighting the risks and dangers associated with long term. excessive usage.

Keywords

Quantitative Analysis, Supervised Learning, Unsupervised Learning

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