Saturday, January 4, 2020

Thematic Analysis Data Driven Inductive And Sociological...

3. Data analysis Thematic analysis is applied to process the data from semi-structured interviews and policy documents. Thematic analysis is an encoding qualitative information process, involving discovering, interpreting and reporting themes within data (Boyatzis, 1998, Spencer et al., 2014). Braun and Clarke (2006) propose decisions of ‘inductive or deductive’, ‘semantic or interpretative’, and ‘realist or constructionist’ for applying thematic analysis methods. This thesis applies the data-driven inductive approach, which explores the model of home care in urban China to refine the ‘marketisation of care’ theory. I investigate the underlying and theorized idea at the interpretative level, while considering the sociocultural and structural contexts from the constructionist perspective. Referring to practical steps, this study follows the classical approach proposed by Zang and Wildemuth (2009): collecting data; defining the unit of analysis; making a coding scheme; testing the coding scheme on a sample of text; coding all text. I repeatedly read and thematically code the verbatim transcripts in Chinese, through which QSR Nvivo will be used to facilitate analysis. Through the process, I code themes, categories, and sub-categories transparently, coherently, and consistently. The case study approach includes three analysis levels, namely interpretational, structural, and reflective (Creswell, 2014; Tichapondwa, 2013). This study analyses data for themes, categories andShow MoreRelatedManaging Tensions Inherent Of Business6389 Words   |  26 PagesManaging Tensions Inherent in Business (For-profit) and Social (Non-profit) Entrepreneurial Activities Introduction Over the past several decades, entrepreneurship has attracted considerable attention of scholars from various disciplines. However, the majority of studies conducted on this emerging field have placed special emphasis on business entrepreneurship in which profit-oriented logic is dominant (e.g., Erikson, 2001; Dejardin, 2011; Campbell Mitchell, 2012). On the other hand, social

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