Qualitative Data Analysis: A User Friendly Guide for Social ScientistsRoutledge, 2003 M09 2 - 300 páginas First Published in 2004. Learning how to analyze qualitative data by computer can be fun. That is one assumption underpinning this introduction to qualitative analysis, which takes account of how computing techniques have enhanced and transformed the field. The author provides a practical discussion of the main procedures for analyzing qualitative data by computer, with most of its examples taken from humour or everyday life. He examines ways in which computers can contribute to greater rigour and creativity, as well as greater efficiency in analysis. He discusses some of the pitfalls and paradoxes as well as the practicalities of computer-based qualitative analysis. The perspective of "Qualitative Data Analysis" is pragmatic rather than prescriptive, introducing different possibilities without advocating one particular approach. The result is a largely discipline-neutral text, which is suitable for arts and social science students and first-time qualitative analysts. |
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... category lists for analysing female stereotypes 8.2 Weighing up the degree of refinement in initial category set 8.3 Developing a more refined category list 9.1 Categorizing data—1 9.2 Categorizing data—2 9.3 Categorizing data—3 10.1 ...
... category lists for analysing female stereotypes 8.2 Weighing up the degree of refinement in initial category set 8.3 Developing a more refined category list 9.1 Categorizing data—1 9.2 Categorizing data—2 9.3 Categorizing data—3 10.1 ...
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... set of characteristics which define the boundaries of what can or cannot count as a ' school ' . We may think of it ... category. Clearly categories can refer to a potentially unlimited series. Figure 2.2 Category relating two ...
... set of characteristics which define the boundaries of what can or cannot count as a ' school ' . We may think of it ... category. Clearly categories can refer to a potentially unlimited series. Figure 2.2 Category relating two ...
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... category, in terms of whether it fits with a number of similar observations. We compare this observation with ... set of purpose-built buildings. But a school can also double as a community centre, a sports facility, and during ...
... category, in terms of whether it fits with a number of similar observations. We compare this observation with ... set of purpose-built buildings. But a school can also double as a community centre, a sports facility, and during ...
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... category , we do not automatically exclude it from others . We discount other possibilities , rather than exclude ... set of categories . Suppose we encounter some yellow apples lurking at the bottom of the box . Our categories no ...
... category , we do not automatically exclude it from others . We discount other possibilities , rather than exclude ... set of categories . Suppose we encounter some yellow apples lurking at the bottom of the box . Our categories no ...
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Contenido
Introducing computers | |
Finding a focus | |
Managing data | |
Linking data | |
Making connections | |
connections | |
Memling story | |
Of maps and matrices | |
Corroborating evidence | |
Producing an account | |
Conclusion | |
Reading and annotating | |
Creating categories | |
Assigning categories | |
Splitting and splicing | |
lines of analysis | |
If the Impressionists had been Dentists | |
Software | |
Glossary | |
References | |
Index | |
Otras ediciones - Ver todas
Qualitative Data Analysis: A User Friendly Guide for Social Scientists Ian Dey Vista previa limitada - 2003 |
Qualitative Data Analysis: A User-friendly Guide for Social Scientists Ian Dey Sin vista previa disponible - 1993 |
Qualitative Data Analysis: A User-friendly Guide for Social Scientists Ian Dey Sin vista previa disponible - 1993 |
Términos y frases comunes
artistic aspects assessment assigning categories association Bentley bits of data categorizing the data category set category temperament Catharsis cathartic humour causal Cézanne characteristics Claire Memling comparison complex conceptual connecting categories connections between categories consider context criteria cross-tabulation databits assigned dental dentist Derek Bentley develop diagrams discomfort Disfigurement distinctions Essex Girl evidence example explanation Figure Gauguin gender ideas identify images incongruity infer interaction interested interpretation interview involves judgement letter levels of measurement linked databits linking data look matrix meaning measure memos observations occupation overall patient perhaps possible procedures producing an account qualitative analysis qualitative data analysis qualitative research quantitative question refer relevant requires retrieve Schwimmer is suing sense significance social Sol Schwimmer speaking clock stereotypes story subcategories substance suffering Suppose Table Transposing transpositions validity values variables Victoria Wood Vincent Woody Allen