Book

The Grounded Theory Perspective II

📖 Overview

The Grounded Theory Perspective II examines the fundamentals and applications of grounded theory methodology in qualitative research. This book serves as both a theoretical framework and practical guide for researchers using grounded theory methods. Barney Glaser presents core concepts of grounded theory while addressing common misconceptions and methodological challenges faced by researchers. The text includes detailed examples and explanations of key processes like theoretical sampling, constant comparison, and memo writing. The book tackles specific issues within qualitative data analysis, including the role of prior knowledge, the importance of theoretical sensitivity, and the relationship between data and emerging theory. Glaser demonstrates these concepts through research examples across multiple disciplines. This work builds on Glaser's earlier writings about grounded theory while emphasizing the importance of staying true to the original methodology. The text reinforces grounded theory's position as a rigorous research method that enables the discovery of new theoretical frameworks from empirical data.

👀 Reviews

Reviews for this methodology book are limited, with few public ratings available online. Readers appreciated: - Clear explanations of how to properly perform grounded theory research - Discussion of common mistakes researchers make - Examples that illustrate key concepts - Focus on staying true to original grounded theory principles Main criticisms: - Dense academic writing style that some found difficult to follow - Repetitive points across chapters - High cost relative to page count - Limited availability of the text Available Ratings: Goodreads: 4.0/5 (2 ratings) Amazon: No reviews WorldCat: No ratings The book has minimal online discussion or reviews, likely due to its specialized academic nature and limited circulation. Most comments come from doctoral students and researchers specifically studying grounded theory methodology. [Note: Review data is extremely limited for this specialized academic text, so summary is based on the few available sources.]

📚 Similar books

Constructing Grounded Theory by Kathy Charmaz This text presents alternative approaches to grounded theory methodology while expanding on constructivist methods in qualitative research.

Basics of Qualitative Research by Juliet Corbin, Anselm Strauss The book provides systematic techniques and procedures for developing grounded theory in social science research.

Theoretical Sensitivity by Barney Glaser This methodological text explores the conceptual development process in grounded theory research through detailed examples and analytical procedures.

Doing Grounded Theory by Barney Glaser The text demonstrates practical applications of grounded theory through case studies and step-by-step research procedures.

Qualitative Data Analysis by Matthew Miles, Michael Huberman, Johnny Saldana This methods sourcebook presents techniques for analyzing qualitative data using systematic approaches aligned with grounded theory principles.

🤔 Interesting facts

📚 Barney Glaser co-developed Grounded Theory methodology in the 1960s with Anselm Strauss while studying dying hospital patients, leading to their groundbreaking book "Awareness of Dying." 🎓 The book is part of a trilogy of works explaining Glaser's perspective on Grounded Theory, written partly in response to what he saw as misinterpretations of the original methodology. 🔍 Unlike many research methods that start with a hypothesis, Grounded Theory (as explained in the book) advocates for researchers to begin with no preconceptions, allowing theories to emerge naturally from the data. ✍️ Glaser founded the Grounded Theory Institute and the journal "The Grounded Theory Review," dedicating his career to protecting and promoting what he considered the pure form of Grounded Theory methodology. 🌟 The book addresses what Glaser termed "remodeling" of Grounded Theory, expressing concern about researchers who mix the methodology with other qualitative data analysis methods, potentially compromising its effectiveness.