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GROUNDED THEORY 493<br />

fragments are then rearranged, through coding,<br />

to produce a new understanding that explores<br />

similarities, differences, across a number of different<br />

cases. The early part of coding should be confusing,<br />

with a mass of apparently unrelated material.<br />

However, as coding progresses and themes emerge,<br />

the analysis becomes more organized and structured.<br />

(Ezzy 2002: 94)<br />

In grounded theory there are three types<br />

of coding: open, axial and selective coding, the<br />

intention of which is to deconstruct the data<br />

into manageable chunks in order to facilitate an<br />

understanding of the phenomenon in question.<br />

Open coding involves exploring the data and<br />

identifying units of analysis to code for meanings,<br />

feelings, actions, events and so on. The researcher<br />

codes up the data, creating new codes and<br />

categories and subcategories where necessary,<br />

and integrating codes where relevant until the<br />

coding is complete. Axial coding seeks to make<br />

links between categories and codes, ‘to integrate<br />

codes around the axes of central categories’<br />

(Ezzy 2002: 91); the essence of axial coding is<br />

the interconnectedness of categories (Cresswell<br />

1998: 57). Hence codes are explored, their<br />

interrelationships are examined, and codes and<br />

categories are compared to existing theory.<br />

Selective coding involves identifying a core code;<br />

the relationship between that core code and<br />

other codes is made clear (Ezzy 2002: 93),<br />

and the coding scheme is compared with preexisting<br />

theory. Cresswell (1998: 57) writes that<br />

‘in selective coding, the researcher identifies a<br />

‘‘story line’’ and writes a story that integrates the<br />

categories in the axial coding model’.<br />

As coding proceeds the researcher develops<br />

concepts and makes connections between<br />

them. Flick et al. (2004:19)arguethat‘repeated<br />

coding of data leads to denser concept-based<br />

relationships and hence to a theory’, i.e. that the<br />

richness of the data is included in the theoretical<br />

formulation.<br />

Constant comparison<br />

The application of open, axial and selective coding<br />

adopts the method of constant comparison. In<br />

constant comparison the researcher compares the<br />

new data with existing data and categories, so<br />

that the categories achieve a perfect fit with<br />

the data. If there is a poor fit between data<br />

and categories, or indeed between theory and<br />

data, then the categories and theories have to be<br />

modified until all the data are accounted for. New<br />

and emergent categories are developed in order to<br />

be able to incorporate and accommodate data in<br />

agoodfit,withnodiscrepantcases.Glaserand<br />

Strauss (1967: 102) write that ‘the purpose of the<br />

constant comparative method of joint coding and<br />

analysis is to generate theory ...by using explicit<br />

coding and analytic procedures’. That theory is not<br />

intended to ‘ascertain universality or the proof<br />

of suggested causes or other properties. Since<br />

no proof is involved, the constant comparison<br />

method ...requires only saturation of data – not<br />

consideration of all available data’.<br />

In constant comparison, then, discrepant, negative<br />

and disconfirming cases are important in<br />

assisting the categories and emergent (grounded)<br />

theory to fit all the data. Constant comparison is<br />

the process ‘by which the properties and categories<br />

across the data are compared continuously until<br />

no more variation occurs’ (Glaser 1996), i.e. saturation<br />

is reached. In constant comparison data<br />

are compared across a range of situations, times,<br />

groups of people, and through a range of methods.<br />

The process resonates with the methodological<br />

notion of triangulation. Glaser and Strauss (1967:<br />

105–13) suggest that the constant comparison<br />

method involves four stages: comparing incidents<br />

and data that are applicable to each category;<br />

integrating these categories and their properties;<br />

bounding the theory; setting out the theory. The<br />

first stage here involves coding of incidents and<br />

comparing them with previous incidents in the<br />

same and different groups and with other data that<br />

are in the same category. The second stage involves<br />

memoing and further coding. Here ‘the constant<br />

comparative units change from comparison of incident<br />

with incident to comparison of incident with<br />

properties of the category that resulted from initial<br />

comparisons of incidents’ (Glaser and Strauss<br />

1967: 108). The third stage – of delimitation –<br />

occurs at the levels of the theory and the categories<br />

Chapter 23

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