DEVELOPMENTAL CRISIS IN EARLY ADULTHOOD: A ...
DEVELOPMENTAL CRISIS IN EARLY ADULTHOOD: A ...
DEVELOPMENTAL CRISIS IN EARLY ADULTHOOD: A ...
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Developing Superordinate Themes and/or Pattern Codes<br />
IPA and the Interactive Model are in agreement that it is through hierarchical<br />
arrangement of themes that analytical progress is achieved after initial themes are<br />
created. They have similar techniques for combining themes into higher units of<br />
organisation. In IPA these higher units of meaning are called “superordinate themes”<br />
and in the Interactive Model they are called “pattern codes”. Superordinate themes or<br />
pattern codes hierarchically subsume and group the lower-level themes or codes. It is<br />
through this process that synthesis occurs and meaningful relationships emerge from<br />
qualitative data.<br />
In IPA, to establish superordinate themes, themes are clustered together into<br />
meaningful categories that have a common core or common denominator. A list of<br />
these superordinate themes is created for each case first, then for groups of cases and<br />
then for the sample as a whole. The final list of super-ordinate themes is the result of<br />
an iterative process of moving between within-case and cross-case modes of analysis<br />
(Smith and Eatough, 2006).<br />
In Miles and Huberman’s approach, “pattern codes” are created to subsume<br />
the lower order units of meaning into more generic categories and constructs, by a<br />
similar process of clustering and grouping:<br />
“First-level coding is a device for summarizing segments of data. Pattern coding is a<br />
way of grouping those summaries into a smaller number of sets, themes, or<br />
constructs.” (1994, p.69)<br />
“Pattern codes are explanatory or inferential codes, ones that can identify an emergent<br />
theme, configuration, or explanation. They pull together a lot of material into more<br />
meaningful and parsimonious units of analysis. They are a sort of meta-code.” (1994,<br />
p.69)<br />
Clustering Cases<br />
Clustering of cases is another process that can be used in the composite model,<br />
based on Miles and Huberman’s approach (1994). Case clustering involves sorting<br />
individuals into groups that have commonalities, and can provide an intermediary<br />
level for cross-case analysis; after each individual case is analysed, clusters can then<br />
be analysed before the whole sample is attempted. Clusters can be established a-<br />
priori if one is doing confirmatory research, but in the case of exploratory research<br />
such as this thesis, clusters can emerge from contact with the data, after within-case<br />
analysis, but before intensive between-case analysis. Members of a cluster can be<br />
similar on one dimension, on several dimensions or on a general configuration. The<br />
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