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Q-Methodology
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Will elicit a good understanding of community views of factors associated with early child health and development.
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Too many statements will be challenging in a low literacy population. It will require a lot of work in a short time frame.
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Good grid structure, simple and clear to understand.
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Need additional software for analysis (Uses R-Methodology).
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“Think-out-loud” protocol is desirable. It allows for the reasoning behind factor placement to be captured.
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Data analysis groups participants according to similar viewpoints not exploratory in nature.
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Rank Order Methods
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Less complex data analysis than Q-methodology. Useful for initial instrument development.
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No grid. It does not allow for any topics to be given an equal weighting.
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Easy to understand. There is a simple linear structure associated with priority or preference ranking.
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Not as interesting or engaging as the other two research methods for participants. We want them to want to take part in future projects.
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Photo-Elicitation
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Less text, images allow for individuals own interpretation of the aim. As the study is exploratory this may be helpful.
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Less stringent research method. Will data gained still be worthwhile with a lack of numerical data.
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Images generally make difficult topics more accessible and easier to discuss. Broaching them is less probing than asking direct questions.
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Timeline too short to allow participants to take their own photos (i.e. Photo-Voice). Images would need to be pre-generated.
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