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Qualitative_data_analysis

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Capra, F. 29, 64, 99<br />

case studies 14, 51, 77<br />

cases 79–7, 91, 184–9;<br />

use of matrices to compare see matrices<br />

categories:<br />

connections between see connections;<br />

creating 99–118<br />

see also category sets;<br />

definitions 108–3, 129–3, 133, 188,<br />

211, 247, 280;<br />

inclusive/exclusive 21–1, 44, 46, 113–8,<br />

148, 152, 188, 218;<br />

mapping see mapping;<br />

overlapping 21, 117<br />

categories, assigning 28, 119–28, 198, 247,<br />

260;<br />

breaking up <strong>data</strong> into bits 121–18, 127–<br />

1;<br />

mechanics of 119–15, 125, 127, 131,<br />

280;<br />

problems illustrated in letters from<br />

Vincent to Theo 122, 125–27;<br />

working chronologically and in sequence<br />

125–20<br />

categories, splitting and splicing 136–31,<br />

210, 239, 259, 272;<br />

combining categories 147–51;<br />

subcategorization see subcategorization<br />

categorization 6, 20–21, 27, 41, 43–4, 49,<br />

60, 63, 160, 177, 206, 210, 239, 247,<br />

259, 262, 263, 272, 273;<br />

and linking as complementary activities<br />

160, 166–60<br />

category, meaning of a 108<br />

category sets 103–118, 133, 136, 149;<br />

approaches to creation of 109–5, 117;<br />

familiarity with <strong>data</strong> required to create<br />

115–10;<br />

flexibility 117;<br />

levels of classification 113, 114–9;<br />

refining 111–9, 117–12<br />

causal relationships and links 163–6, 190–3,<br />

193–90, 218–14<br />

Churchill, Winston 273<br />

classification 21–3, 28, 30–1, 40–46, 48, 51,<br />

99;<br />

INDEX 289<br />

levels of 113, 114–9, 148;<br />

see also categories;<br />

category sets<br />

coding <strong>data</strong> 58, 60, 121, 136<br />

Cody, L. 233<br />

communication of meaning 32–5, 39, 116;<br />

ambiguity 35–7<br />

computer software 4, 58, 77, 274, 280–4;<br />

for individual processes see under<br />

computers<br />

computers 4–5, 8, 56–64, 235, 274–8;<br />

and annotating and reading 91–8, 94,<br />

280;<br />

and assigning categories 119–15, 125,<br />

127, 131, 161, 280;<br />

auditing <strong>analysis</strong> 62, 275;<br />

boolean operators 152, 182, 235, 280;<br />

and category definitions 188, 280;<br />

connecting 180–9, 280–4;<br />

and corroboration of evidence 229, 231,<br />

234, 281;<br />

creation of bits of <strong>data</strong> 125;<br />

different ways of analysing <strong>data</strong> 235;<br />

facilities for reformatting <strong>data</strong> 79;<br />

and graphic representation 57, 77, 114,<br />

203, 207, 208, 211, 213, 224, 225, 251,<br />

257, 259, 281;<br />

and interactive accounts 267;<br />

linking 61–62, 94–1, 121, 139, 161–4,<br />

172,<br />

management of <strong>data</strong> 56–7, 75–86, 127,<br />

181, 280;<br />

problems and criticisms of 63–2;<br />

and producing account 56, 254–9, 259,<br />

263, 281;<br />

recategorization of <strong>data</strong> 155;<br />

retrieval and search facilities 58, 60–9,<br />

127, 127, 135, 136–30, 147, 224, 275,<br />

280–4;<br />

and subcategorization 145, 147<br />

concepts, conceptualization 3, 5, 6, 7, 11–<br />

12, 18, 19–20, 21, 22, 23–3, 25, 27, 45,<br />

46, 61, 143, 147, 262, 263, 274;<br />

auditing evolution of 62;<br />

as basis of future inferences 208, 249;<br />

connections between see connections;<br />

new v. established 267–1<br />

concepts-indicators approach 3

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