Qualitative Data: An Introduction to Coding and Analysis
Publisher: NYU Press
৳ 550.00
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Premium Paper: Off-white Karnaphuli paper, 80 GSM
Perfect Size: B5 (a little smaller than A4 but bigger than standard books)
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- Introduces qualitative data analysis in a clear, step-by-step way
- Designed especially for beginners in qualitative research
- Explains how to work with interviews, transcripts, and field notes
- Introduces the philosophical foundations of qualitative research
- Teaches how to code qualitative data systematically
- Explains how to manage and reduce large amounts of text
- Shows how to identify patterns and themes
- Guides readers from codes to interpretation and theory
- Uses real research examples to explain each step
Title | Qualitative Data: An Introduction to Coding and Analysis |
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Authors | |
Publisher | |
Edition | 1st |
Number Of Pages | 222 |
Carl Auerbach and Louise B. Silverstein are well-known scholars in qualitative research and psychology, recognized for their ability to help students and professionals understand how to transform raw qualitative data into clear, meaningful findings. Their work focuses on practical methods that make coding and analysis approachable — even for those new to qualitative inquiry.
Carl Auerbach is an experienced researcher and educator who specializes in guiding students through research design, data interpretation, and analytic reasoning. His teaching emphasizes structure and clarity, enabling researchers to extract deeper insights from interviews, observations, and narrative data.
Louise B. Silverstein is an acclaimed psychologist whose research explores social and human experiences with a strong focus on equity and real-world impact. She brings an empathetic and participant-centered perspective to qualitative analysis, helping researchers stay grounded in the voices and lived realities of their participants.
Together, they authored Qualitative Data: An Introduction to Coding and Analysis — a highly practical guide that simplifies the coding process using an accessible step-by-step approach. The book teaches readers how to move from transcripts to themes and theoretical conclusions without losing the richness of qualitative data.
This resource is ideal for students, social scientists, educators, and applied researchers who want to produce strong, credible qualitative research. Auerbach and Silverstein ensure that readers not only understand how to code data, but also why the process leads to deeper and more impactful interpretations.
NYU Press is a highly respected academic publisher dedicated to advancing innovative scholarship and meaningful intellectual engagement. Founded as part of New York University, one of the world’s leading research institutions, the press has built a strong reputation for publishing influential books across the humanities, social sciences, cultural studies, and contemporary public issues.
NYU Press is known for championing bold ideas and diverse voices. Their publications often explore topics related to identity, justice, politics, education, and social change — helping shape critical conversations in both academic and public spheres. With strong editorial standards and carefully curated content, the press ensures that every book they publish contributes thoughtfully to ongoing research and societal development.
Working closely with distinguished scholars and emerging thinkers alike, NYU Press supports authors in bringing groundbreaking research to a global audience. Their titles are widely adopted in universities and valued by libraries, educators, and readers looking for credible and forward-thinking perspectives.
Choosing a book from NYU Press means investing in high-quality scholarship and insightful analysis. The publisher’s commitment to creativity, inclusivity, and intellectual rigor makes it a trusted source for impactful and thought-provoking knowledge.
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