Integrating analyses for mixed methods research Patricia Bazeley
Material type:
- text
- unmediated
- volume
- 9781412961868 (pbk)
- H62.B2935 PRI
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Harare Campus Library Open Shelf | H62.B2935 INT (Browse shelf(Opens below)) | 149952 | Available | BK136491 |
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H62 BRA Successful qualitative research : | H62 BRA Social scientific research / | H62.B2 PRA The practice of social research | H62.B2935 INT Integrating analyses for mixed methods research | H62.B34 INT Introducing qualitative research | H62.B3552 PRI Principles of methodology : research design in social science / | H62.B72 COL Collecting qualitative data : a practical guide to textual, media and virtual techniques |
Includes references and an index.
A foundation for integrated analysis --
Mixed methods in context --
Planning for analysis --
Interpreting data --
Integrative analysis strategies --
Sequential integration: Analysis guiding design and further analysis --
Complementary analysis of varied data sources --
Analysing linked data: Seeking patterns and contrasts --
From codes and counts to content analysis and 'big data' --
Integration through data transformation 1: Qualitative data to statistical variables --
Integration through data transformation 2: Exploratory, blended, and narrative approaches --
Inherently mixed, hybrid methods --
Exploring dissonance and divergence --
From integrative analyses to warranted assertions and a coherent, negotiated account
Integrating Analyses for Mixed Methods Research goes beyond mixed methods research design and data collection, providing a pragmatic discussion of the challenges of effectively integrating data to facilitate a more comprehensive and rigorous level of analysis. Showcasing a range of strategies for integrating different sources and forms of data as well as different approaches in analysis, readers learn to plan, conduct, and disseminate complex analyses with confidence.
Key techniques include:
Building an integrative framework
Analyzing sequential, complementary and comparative data
Identifying patterns and contrasts in linked data
Categorizing, counting, and blending mixed data
Managing dissonance and divergence
Transforming analysis into warranted assertions
With clear steps that can be tailored to any project, this book is perfect for students and researchers undertaking their own mixed methods research.
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