Nitel Araştırmalarda Veri Doygunluğu

Year 2024, Volume: 24 Issue: 3, 829 - 848, 30.09.2024

Sinan Akçay , Esra Koca

https://doi.org/10.18037/ausbd.1423415

Abstract

Nitel araştırmalarda veri doygunluğu araştırmanın güven duyulabilirliği ve örneklemin gerekçelendirilmesi açısından önemlidir. Veri doygunluğunun nitel araştırma sürecinde bilinçli olarak gözlemlenmesi ve hangi aşamada ve nasıl doygunluğa ulaşıldığı şeffaflıkla araştırma raporunda belirtilmesi gerekmektedir. Bu çalışma, nitel araştırma yöntem ve tekniklerini kullanarak araştırma yapacak olan araştırmacılara veri doygunluğunu nasıl gerekçelendireceklerine ve veri doygunluğu açısından dikkat edilmesi gereken hususlara dair bir rehber ortaya koymayı amaçlamaktadır. Derleme olarak tasarlanan çalışmada veri doygunluğu, doygunluk türleri ve doygunluğu etkileyen faktörler hakkında bilgi verilmektedir. Bu çalışmada nitel araştırmalarda doygunluğa ulaşmak ve doygunluğu belirlemek için net bir formülün bulunmadığı ve veri doygunluğunun araştırmanın tasarlanmasından analiz edilmesine kadarki süreçlerle ilişkili olduğu vurgulanmaktadır. Bu odakta veri doygunluğu açısından dikkat edilmesi gereken hususlara dair tasarlanan rehberde araştırmanın tasarlanması, verilerin oluşturulması ve verilerin analiz edilmesi süreçleriyle ilgili faktörlere yer verilmiştir.

Keywords

Nitel Araştırma, Veri Doygunluğu, Örneklem Büyüklüğü

Data Saturation in Qualitative Research

Abstract

In qualitative research, data saturation is important for the trustworthiness of the research and justification of the sample. Vigilance in observing data saturation is crucial in the qualitative research process, and the report should transparently articulate the specific stage at which saturation is reached. This study endeavors to provide a guide for researchers employing qualitative research methods and techniques on how to justify data saturation and the key considerations in terms of data saturation. The study, which is designed as a review, offers insights into data saturation, encompassing its various types and factors that influence its attainment. This study underscores the absence of a clear formula for achieving and determining saturation in qualitative research, emphasizing the intrinsic connection of data saturation to processes spanning from research design to analysis. In this focus, the guide to the issues to consider in relation to data saturation includes factors related to the processes of research design, data generation and data analysis.

Keywords

Qualitative Research, Data Saturation, Sample Size

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