Qualitative research is growing in Asia and globally. In an Asian context, this requires an awareness of a completely different set of norms, practices, and expectations than those covered by books from a western perspective. This handbook truly celebrates these differences. Spanning the full research process, from philosophy and ethics to design and methods and through data collection, management, analysis, and dissemination, it focuses specifically on the practicalities needed to conduct effective and culturally responsive research in the Asian context. This handbook extends beyond researchers actually in Asia and also speaks to researchers working with Asian participants, researching in Asian immigrant neighbourhoods, and studying the larger global topics like socioeconomic challenges, climate change, or technological advancement. This is the first book to focus specifically on qualitative research in the Asian context and includes diverse contributors from Asia such as the Philippines, Singapore, Thailand, India, Oman, China, South Korea, Indonesia, Kazakhstan, Hong Kong, and from other continents such as North America, South America, Africa, Europe, and Oceania. Section 1: Foundations of Qualitative Research in Asia; Section 2: Qualitative Research Designs; Section 3: Best Practices in Dealing with Qualitative Research Data; and Section 4: Other Qualitative Research Topics.

Qualitative Data Analysis

Qualitative Data Analysis

Qualitative data analysis
Christian E. Ekoto Janet Espada

At this point, data collection has reached a satisfactory volume and standard. Researchers are then ready to focus on data analysis. Qualitative data analysis (QLDA) can be intimidating, especially for Asian novice researchers who lack practical knowledge and experience. The volume, variety, and versatility of qualitative data make QLDA a particularly strenuous and demanding task (Pope, Ziebland, & Mays, 2000). The recent decades have seen the gradual expansion of QLR in a variety of fields and contexts that have resulted in more complex QLDA, specifically increasing the set of methodologies and types of data (Flick, 2013). Fortunately, exposure to good QLDA principles, strategies, and practices ...

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