Analysis in practice - Abstraction and interpretation - Explanation: accounting for patterns

6 important questions on Analysis in practice - Abstraction and interpretation - Explanation: accounting for patterns

What  do explanatory analyses do?

They tease out what underpins attitudes, decisions, motivations or outcomes, distinguisd factors that lead to different perspectives among subgroups within the samples; it suggest features that are formative in complex or difficult to understand behaviours; or identify processes that are based on a complex interplay of perceptions, expectations, circumstances resources, incentives, barriers and so on

What are explanations framed as?

Conjectures about why something came out

There are different types of explanation, which two and explain?

Explicit - based on accounts given by participants themselves
implicit - based on inferences made by the analyst
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What are explanations invovled through, which factors?

- personal characteristics
- dispositions (individual motivations)
- norms
- context

In what two main ways can the analyst develop implicit explanations?

- inferring an underlying logic within the  data -> analyst studies different types of linkage and develops and explanation or set of explanations to acocount of patterns. But also explain and understands.
- using a key analytic concept - developing a powerful explanatory concept or taking an analytic concept form a particular theoretical framework in the literature

What is a powerful explanatory concept?

Grounded theory, where the researcher refines categories until a central category is constructed which can account for patterns within the data

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