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Qualitative Analysis03:46

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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Reflections on qualitative data analysis training for PPI partners and its implementation into practice.

Alison Cowley1,2, Margaret Kerr3, Janet Darby2

  • 11Institute of Nursing & Midwifery Care Excellence, Nottingham University Hospitals NHS Trust, Hucknall Road, Nottingham, NG5 1PB UK.

Research Involvement and Engagement
|August 21, 2019
PubMed
Summary
This summary is machine-generated.

Training Patient and Public Involvement (PPI) partners in qualitative data analysis enhances their research participation. This study explored a two-session training program, finding it beneficial for active involvement in research teams.

Keywords:
Co-productionPPIQualitative researchTraining

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Area of Science:

  • Health Services Research
  • Qualitative Research Methods
  • Patient and Public Involvement (PPI)

Background:

  • Service user involvement is crucial for research relevance and intervention effectiveness.
  • Involving service users in qualitative data analysis, particularly from older populations, is valuable but underrepresented.
  • Limited guidance exists on optimal training content and duration for Patient and Public Involvement (PPI) partners in qualitative analysis.

Purpose of the Study:

  • To explore the content and delivery of a qualitative data analysis training program for a University PPI group.
  • To assess the effectiveness of training in preparing PPI partners for active roles in qualitative data analysis.
  • To provide insights into the practical application and impact of such training.

Main Methods:

  • A two-session (3-hour each) qualitative data analysis training program was designed by researchers and PPI partners.
  • Training covered qualitative research theory, coding skills, and thematic analysis using mock interviews.
  • Participants practiced coding in group sessions and provided feedback.

Main Results:

  • The training was positively received, described as interesting, enjoyable, and providing a good overview.
  • One PPI partner successfully coded data alongside a researcher on a funded study.
  • The collaborative analysis challenged researchers' perspectives, promoting a service user-centric view of the data.

Conclusions:

  • The training successfully enabled PPI partners to become active contributors in qualitative data analysis.
  • Further research is needed to determine the optimal training duration and content for PPI partners in qualitative analysis.