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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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