Chapter 6. Analysing Mixed Methods Data

  1. Sharon Andrew RN RM DipAppSc(NursEd), BAppSc, MSc(Hons), PhD, FRCNA Senior Lecturer Head and
  2. Elizabeth J. Halcomb RN BN(Hons), GradCert IntCareNurs, PhD, MRCNA Senior Lecturer
  1. Patricia Bazeley BA(Hons), PhD Director consultant Senior Research Fellow1,2

Published Online: 27 OCT 2009

DOI: 10.1002/9781444316490.ch6

Mixed Methods Research for Nursing and the Health Sciences

Mixed Methods Research for Nursing and the Health Sciences

How to Cite

Bazeley, P. (2009) Analysing Mixed Methods Data, in Mixed Methods Research for Nursing and the Health Sciences (eds S. Andrew and E. J. Halcomb), Wiley-Blackwell, Oxford, UK. doi: 10.1002/9781444316490.ch6

Editor Information

  1. School of Nursing, University of Western Sydney, New South Wales, Australia

Author Information

  1. 1

    Research Support P/L, Bowral NSW, Australia

  2. 2

    Quality of Life and Social Justice Research Centre, Australian Catholic University, Fitzroy, Vic., Australia

Publication History

  1. Published Online: 27 OCT 2009
  2. Published Print: 2 JAN 2009

ISBN Information

Print ISBN: 9781405167772

Online ISBN: 9781444316490



  • strategies for analysis in mixed methods research;
  • mixed methods employment in health services and nursing research;
  • combination of approaches at every stage - matter of general principle;
  • philosophical assumptions and approaches to analysis;
  • expansion or complementary designs;
  • analysis of contradictory or discrepant results;
  • strategies for mixed methods data analysis;
  • triangulation - data from two sources with complementary strengths;
  • interpretive quality of all data;
  • simple (hand-drawn) matrix


This chapter contains sections titled:

  • Introduction

  • The context - current practice

  • Integration and analysis purposes

  • Philosophical assumptions and approaches to analysis

  • Strategies for analysis

  • Separate data and analyses

  • Combining data types for synthesis

  • Combining data for comparative and pattern analysis

  • Transforming data during analysis

  • Further analytical strategies

  • The role of interpretation in the construction of knowledge

  • References

  • Acknowledgement