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What is Stratified Sampling Method

Overcoming Fieldwork Challenges in Social Science and Higher Education Research
The sampling method, which is conducted by dividing the whole population into sub-populations, and then applying random sampling to each sub-population to select the representative samples.
Published in Chapter:
On the Way to Researching Universities: The Case of Higher Education in Turkey
Nazlı Ayşe Ayyıldız Ünnü (Ege University, Turkey)
DOI: 10.4018/978-1-7998-5826-3.ch007
Abstract
This chapter aims to shed light on the significant experiences and challenges that have occurred during a university-funded project, exploring the dynamics of academic employment in the light of gender roles. The data for this mixed methods study comes from a research on Turkish universities, including 505 questionnaires and 46 in-depth interviews with academics from 39 different universities, located in 20 different cities of Turkey. The stratified sample of quantitative research represents the distribution of gender, department, managerial experience, position, and development level of the city, where the universities are located. In-depth interviews are used along with the survey to better understand the nature of academic employment and the implications of quantitative data. This chapter addresses the challenges, such as accessing the universities, ethical and emotional considerations, the effect of Turkish culture, censorship, and the ways that they affect the research process itself and the researchers.
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