Management of Qualitative Data Collection Process According to SCID Analysis

Year 2021, Volume: 3 Issue: 1, 107 - 139, 30.06.2021

Gülsüm Sertel , İlhan Günbayı

Abstract

In social sciences, the backbone of qualitative scientific research is generally gathering data from more than one data source. The nature of the data collected in qualitative research; It is very important in analyzing and reporting the data, exploring the main phenomenon in depth and increasing the quality of the study. This educational guide will assist you with the general knowledge and skills required in designing and managing the data collection process for qualitative research. Data collection is a set of interrelated activities aimed at gathering quality information to answer research problems. However, as the activities in the qualitative research process are not linear and sequential, data collection and data analysis are intertwined. The qualitative data collection process is carried out as a cycle consisting of determining the place / participants, ensuring access and creating harmony, purposeful sampling, data collection, data recording, solving field problems and storing data (Creswell, 2013, p.145); Deciding on the type of data to be collected requires developing data collection forms and managing the process in an ethical manner (Creswell, 2012, p.264). The aim of this study is to determine the conceptual and technical knowledge, attitude knowledge and application opportunities that scientists who perform the task of producing scientific publications should have, and to provide a training guide that shows how to manage the data collection process by complying with the scientific steps of qualitative data collection stages in this process. In this context, the sub-problems of the study are:
1. How should multiple methods and techniques to be used in the process of collecting qualitative data be determined?
2. How should the purposeful sampling approach be determined in accordance with the selection of the participants and research sites?
3. How should valid and reliable qualitative data be collected using different strategies?

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Keywords

SCID,, qualitative research,, qualitative data collection

SCID Analizine Göre Nitel Veri Toplama Sürecinin Yönetilmesi/ Management of Qualitative Data Collection Process According to SCID Analysis

Abstract

Bu çalışmanın amacı, SCID analizine (Sistematik Müfredat ve Öğretim Geliştirme) dayalı olarak nitel araştırma için veri toplama sürecinde gerekli olan kavramsal ve teknik bilgiler ile tutum bilgisine yönelik uygulama fırsatı sunan bir öğrenme kılavuzu geliştirmektir. Çalışmada nitel betimsel tarama araştırmalarından sistematik tarama deseni içeresinde yer alan SCID analizi alt deseni kullanılmıştır. Nitel veri toplama süreci konusunda yazılmış amaçlı ve ölçüt örnekleme yöntemiyle seçilen yöntem kitapları, ilgili makaleler ve dokümanlar incelenmiştir. SCID analizi sonucunda, (1) Nitel veri toplamada kullanılacak çoklu yöntem ve tekniklerin belirlenmesi, (2) Katılımcıların ve araştırma mekânlarının seçimine uygun amaçlı örnekleme yaklaşımının belirlenmesi ve (3) Farklı stratejiler kullanarak geçerli ve güvenilir nitel verilerin toplanması olmak üzere üç ulaşılabilir hedef belirlenmiştir. Araştırma sonucunda, çoklu yöntem ve teknikler kullanmanın, uygun amaçlı örnekleme yaklaşımını belirlemenin ve farklı stratejiler kullanarak geçerli ve güvenilir veriler toplamanın nitel veri toplama sürecinin temelini oluşturduğu görülmüştür. Bu öğrenme kılavuzu, sosyal bilimlerde nitel veri toplama sürecinin nasıl yönetileceği konusunda hem akademik personel hem de yüksek lisans/doktora öğrencileri için öğrenme-geliştirme sürecindeki temel adımları kendi kendine uygulayarak kaliteli veri toplamayı ve nitelikli bir araştırma yapmayı sağlayacaktır.

Keywords

SCID(Sistematik Müfredat ve Öğretim Geliştirme),, nitel araştırma,, nitel veri toplama

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