Nitel Veri Analizi ve Temel İlkeleri

Year 2020, , 379 - 406, 30.01.2020

Hilal Çelik Nur Başer Baykal Hale Nur Kılıç Memur

https://doi.org/10.14689/issn.2148-2624.1.8c.1s.16m

Abstract

Son yıllarda nitel araştırmalar sosyal bilimler alanında giderek önem kazanmıştır. Birçok araştırmacı odağını nitel araştırmalara yönelterek çalışmak istedikleri olgulara dair derin ve özgün anlamlar keşfetme arayışı içine girmiştir. Ancak nicel araştırmalar geleneğinden gelen ve alandaki yeni araştırmacılar için nitel araştırma aşamaları ve özellikle analiz süreci birçok belirsizliği barındırır. Oysaki nitel araştırma yapmak isteyen araştırmacıların, veri analizinde titizlikle takip etmesi ve onlara yol göstermesi gereken birçok adım mevcuttur. Bunlar nitel veri analizinin bilimsel bir çerçeveye oturmasına ve araştırılan olgunun kendi öznel gerçekliğine daha yakın bir anlam üretmesine olanak sağlar. Bu çalışmada tüm nitel araştırma desenleri için geçerli olan veri analiz adımlarına, bu adımlarda takip edilmesi gereken temel ilkelere yer verilerek bir nitel veri analiz sürecinin nasıl gerçekleştirilebileceğine dair bir çerçeve oluşturulması amaçlanmıştır. Bu amaç kapsamında nitel veri analizinin tanımına, amacına, analiz adımlarına, verilerin organize edilme basamaklarına, kategoriler oluşturma sürecine, bulguların yorumlanmasına ve araştırmacının nitel veri analizindeki rolüne yer verilmiştir.

Keywords

Nitel araştırma, nitel veri analizi, kodlama, kategori oluşturma, nitel yorumlama

Qualitative Data Analysis and Fundamental Principles

Abstract

In the last years, qualitative research has been increasingly gaining importance in the fields of social sciences. However, the qualitative research and the analysis process are characterized by many uncertainties. Whereas, there are many steps that can guide researchers who want to conduct a qualitative research meticulously in data analysis. These steps allow the qualitative data analysis to fit into a scientific framework. This study is intended to provide a framework for how a qualitative data analysis can be carried out by including the data analysis steps that apply to all qualitative research patterns and the basic principles to be followed. Within this perspective, the main aim of this study is to define the qualitative data analysis, its purpose, the steps of data analysis, the steps of organizing the data, the process of creating categories the interpretation of the qualitative findings and the role of the researcher in qualitative data analysis.

Keywords

Qualitative research, qualitative data analysis, coding, creating categories, qualitative interpretation

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