图书简介

Part One: A foundation for integrated analysis \\ Chapter 1: Mixed methods in context \\ Why mixed methods? \\ The emergence of a mixed methods movement \\ Defining the mixed methods territory \\ The challenge of integration \\ What does mixing contribute? \\ Philosophical foundations for integration in mixed methods analysis \\ Chapter 2: Planning for analysis \\ Approaches to design for mixed methods research \\ Designing for analysis \\ Visualising design elements \\ Using software for analysis \\ Skills and teamwork in mixed methods research \\ Chapter 3: Interpreting data \\ The task of data analysis \\ An interpretive orientation to data and analysis \\ Interpreting statistical and non-numeric data sources – some cautionary notes \\ A framework for mixed methods analysis \\ A process-oriented logic model for integrated analysis \\ Part Two: Integrative analysis strategies \\ Chapter 4: Sequential integration: analysis guiding design and further analysis \\ Developmentally inform design \\ Elaborate and extend understanding \\ Sequential confirmation, generalisation, or validation \\ Typology development to inform analysis \\ Iterative cross-fertilisation between methods \\ Using software in sequential and iterative studies \\ Writing sequential methods \\ Chapter 5: Complementary analysis of varied data sources \\ Enhance analysis (and reporting) with supplementary data \\ Compose a coherent picture from complementary data \\ Juxtapose complementary sources \\ Exploring process and outcome: integrating complementary sources in analysing the effectiveness of interventions \\ Complementary analyses: a caution and a final example \\ Chapter 6: Analysing linked data: seeking patterns and contrasts \\ Cases as units of analysis when linking data \\ Preliminary processing of data sources \\ Strategies for analysing linked data sources \\ Missing data in linked data sources \\ Integration of linked data: a final example \\ Chapter 7: From codes and counts to content analysis and ’big data’ \\ Counts from qualitative data \\ Content analysis – quantitative or mixed method? \\ ‘Big data’ – a scientific revolution in the making? \\ Counting, content analysis and big data in the context of integrated mixed methods analyses \\ Chapter 8: Integration through data transformation 1: Qualitative data to statistical variables \\ Quantifying qualitative data for further analysis – theoretical aspects \\ Statistical analysis options for a “qualitative” case by variable matrix \\ Chapter 9: Integration through data transformation 2: Exploratory, blended, and narrative approaches \\ Transforming qualitative data for exploratory multivariate analyses \\ Exploratory multivariate statistical analyses for case and matrix data \\ Building descriptive and narrative accounts from numeric data \\ Blended analyses and consolidated databases: coding, conversion, and combination working together \\ Chapter 10: Inherently mixed, hybrid methods \\ Inherently mixed strategies \\ Hybrid strategies \\ Chapter 11; Exploring dissonance and divergence \\ Dissonance and its resolution in mixed methods studies \\ Learning from the analysis of divergent or extreme cases \\ Part 3: Negotiated, warranted inferences \\ Chapter 12: From integrative analyses to warranted assertions and a coherent, negotiated account \\ The negotiation starts \\ Progressing the conversation \\ Negotiating coherence through writing and visualising \\ Ensuring the warrant for mixed methods inferences \\ Warranted assertions

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