WEBVTT

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I'm looking at
qualitative data and I'm

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collecting data through
interviews and focus groups.

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And I'm using situational
analysis to analyse my data.

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It's a spin-off of a
grounded theory,

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so it's a way of reconceptualising 
grounded theory.

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I don't really tend to
assess significance because

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of the nature of my research.

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It's qualitative
research, so it's really

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linked to the interpretation
of the researcher.

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So I tend to look at
the data in relation

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to the research
questions and how

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the data will help me to
answer the research questions.

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So, if you will, that's a way
for me to assess the data.

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My method of analysis
doesn't really

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encourage to drop any data.

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And because it's made--

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you're basically looking
at your data as a whole.

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And you need the
wholeness of the data

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to then produce several maps
that will show the context.

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And you really have to be
open to unexpected findings.

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So really, dropping
the data is not

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something that is encouraged
in my line of research.

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There are many ways you can
interpret your findings,

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especially I mean,
in all kinds of--

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regardless of what
method you use.

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And this has to do with
your research question.

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It also depends on the
research questions.

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It depends on the
methodology you use.

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But you need to be aware of
all alternative interpretations

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and you need to be
transparent about that.

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You need to acknowledge
other interpretations

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and you need to justify your
way of interpreting data.

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That adds additional
validity to your claims

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and to your results, and you
need to be aware of that.

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Presenting the findings, preliminary
findings, with colleagues or perhaps with

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an audience in a conference can
provide us with certain aspects

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that we cannot see from
the inside as insiders.

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So outsider's view is important
to avoid bias in this case.