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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... orientated to identifying connections between social phenomena - for example , how events are structured or influenced by how actors define situations . These distinctions are not water-tight, as Tesch herself acknowledges, and her.
... orientated to identifying connections between social phenomena - for example , how events are structured or influenced by how actors define situations . These distinctions are not water-tight, as Tesch herself acknowledges, and her.
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... distinctions are not the whole story. We can learn as much from how meanings and numbers relate as we can from distinguishing them. In social science, number depends on meaning, and meaning is informed by number. Enumeration depends ...
... distinctions are not the whole story. We can learn as much from how meanings and numbers relate as we can from distinguishing them. In social science, number depends on meaning, and meaning is informed by number. Enumeration depends ...
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... distinctions : this situation is ' boring ' and not ' exciting ' or ' stimulating ' or ' interesting ' or ' amusing ... distinction being drawn between what is and what might have been the case . Meanings reside in social practice ...
... distinctions : this situation is ' boring ' and not ' exciting ' or ' stimulating ' or ' interesting ' or ' amusing ... distinction being drawn between what is and what might have been the case . Meanings reside in social practice ...
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... distinctions between types of data! For example, we might contrast the survey as a method involving the collection ... distinction. Moreover, the survey itself can be used as a data collection instrument within the context of a ...
... distinctions between types of data! For example, we might contrast the survey as a method involving the collection ... distinction. Moreover, the survey itself can be used as a data collection instrument within the context of a ...
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A User Friendly Guide for Social Scientists Ian Dey. Another distinction sometimes drawn between qualitative and quantitative methods is that the former produce data which are freely defined by the subject rather than structured in ...
A User Friendly Guide for Social Scientists Ian Dey. Another distinction sometimes drawn between qualitative and quantitative methods is that the former produce data which are freely defined by the subject rather than structured in ...
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