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Summary SPS5034 research-design-23
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- SPS5034 Research Design
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- University Of Glasgow
SPS5034 research-design-23
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lOMoARcPSD|6106013Notes Research Design 23
Research Design (University of Glasgow)
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, lOMoARcPSD|6106013
Research Design: Randomised Designs and Causality. 23.10.2017.
Inductive and Qualitative Research:
Important distinction to be made between inductive/deductive on the one hand and
qualitative, quantitative on the other.
Deductive: hypothesis testing.
Inductive: Start with data, and use the observation to develop a theory.
Qualitative can be inductive or deductive, as can quantitative research.
Inductive research probably more common in qualitative research.
Inductive Qualitative Research:
If you decide to do this, it is important to understand what it entails: the theory could be
mis-specified, or not specified in some particular ways. It is better to say what is missing
from a theory or background concept from the beginning.
Usually there would be one of these scenarios:
Unspecified Independent variable.
Unspecified dependent variable – maybe you can observe some interesting phenomena,
and you have a sense of whether the things you are observe have an impact on something
else, but you don’t know what the effect is.
Unspecified intervening variables. You don’t know what the causal path is: why does the
independent variable lead to the dependent variable.
These are all about causal research questions. Sometimes you know all the variables, but
still feel that the different variables are not well enough specified. You know the concepts
but there could be sub-concepts underlying variables.
Concept Formation
Adcock and Collier. They’re saying that you’re starting out with a background concept but
you want to get to a systemised concept – given we know that we know what that concept
is then we should develop indicators to tie the systemised concept to actual data. In some
cases you can come up with them just by reasoning about it. Otherwise you can do inductive
research to come up with the concepts and indicators. Inductive research comes into their
model at the levels of optimisation and conceptualisation. You always have some sort of
conceptual idea in mind, but usually it is an approximate background idea. Similarly, the
variables can be raw, not systemised concepts. If you didn’t have any theoretical
preconceptions then you wouldn’t know what questions to ask.
“Qualitative research discourages the use of causal language”: well, ‘yes and no’. Whilst you
can’t prove causality, you are developing a theory and it would ideally be causal, because
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