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WASP (Write a Scientific Paper): Using correspondence analysis to investigate qualitative data elicited through
Mary Anne Lauri1, Josef Lauri2
1Psychology, Faculty for Social Wellbeing, University of Malta, Msida, Malta.
Photographs can facilitate discussions on difficult topics, enabling qualitative data collection. This study explores using visual aids and Correspondence Analysis (CA) for analyzing such data.
Area of Science:
- Qualitative Research Methods
- Data Analysis Techniques
- Visual Data Elicitation
Background:
- Photographs serve as powerful tools for engaging participants in discussions.
- Visual stimuli can help individuals articulate complex emotions, thoughts, and experiences.
- Traditional data analysis methods may not fully capture the richness of visually elicited qualitative data.
Purpose of the Study:
- To demonstrate the utility of photographs in qualitative research.
- To present a novel application of Correspondence Analysis (CA) for analyzing visually elicited data.
- To bridge the gap between qualitative data collection and quantitative analysis techniques.
Main Methods:
- Utilizing photographs as prompts in participant discussions.
- Collecting qualitative data through semi-structured interviews or focus groups guided by images.
- Applying Correspondence Analysis (CA) to interpret patterns and relationships within the qualitative data.
Main Results:
- Photographs effectively stimulated participant engagement and disclosure of sensitive information.
- Correspondence Analysis (CA) revealed meaningful structures and associations in the qualitative data.
- The integration of visual methods with CA provided nuanced insights into participant perspectives.
Conclusions:
- Photographs are valuable tools for enhancing qualitative data collection, particularly for sensitive topics.
- Correspondence Analysis (CA) can be adapted to analyze qualitative data derived from visual stimuli.
- This approach offers a robust method for exploring complex social and emotional landscapes.
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