Lyn Richards
Dados Biográficos
| ID | 3886646 |
|---|---|
| NOME | Lyn Richards |
| PRENOMES | Lyn |
| SOBRENOME | Richards |
| ASSINATURA | RICHARDS L |
| AFILIAÇÕES | La Trobe University |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 17 |
| TOTAL DE CITAÇÕES | 76 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 1 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1985 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 6 |
Handling Qualitative Data
Readme First for a User's Guide to Qualitative Methods
Preface Why Readme First? Goals Methods and Their Integrity Methodological Diversity and Informed Choice No Mysteries! Learning by Doing It: Qualitative Research as a Craft Qualitative Research as a Challenge Using Readme The Shape of the Book What to Expect Doing Qualitative Research Resources Thinking Research The Integrity of Qualitative Research Methodological Purposiveness Methodological Congruence The Armchair Walkthrough And Now-Your Topic…
Handling Qualitative Data
Setting up your project -- Making qualitative data -- Data records -- Up from the data -- Coding -- Handling ideas -- What are you aiming for? -- Searching the data -- Seeing a whole -- Telling it
Organising Knowledge
The organization, processing and representation of knowledge becomes increasingly important in all scientific and business contexts. This book focuses on qualitative methods for knowledge organization
Rigorous, Rapid, Reliable and Qualitative? Computing in Qualitative Method
Qualitative researchers are assisted by software tools in pursuit of each of these goals, but in each area there is a need for software design to address the tasks of research where rigor, rapidity, and reliability are paramount requirements
Qualitative computing--a methods revolution
Qualitative computing is often described by enthusiasts as revolutionary, but in stark contrast, its methodological innovations are rarely discussed. Why is the debate missing? The paper charts some of the major developments in support for coding and theory-building, exploring the many reasons why these are either taken for granted or unrecognized and often unused. Whilst these tools had the potential to change methods, their adoption and their i…
The NVIVO Qualitative Project Book
Introduction The Book and the Software Making a Start First Coding Making Data Working with Data Shaping Your Project 'Emerging' Theory? Ordering Concepts Moving Faster Getting There Preparing Data
Data Alive! The Thinking Behind Nvivo
Qualitative Teamwork
Data Alive! The Thinking Behind NVivo
Rich data from qualitative research have been treated poorly by computers. Yet, plain text and static documents largely have been uncritically accepted as a price of coding. The new qualitative software from Qualitative Solutions and Research (QSR), NUD•IST Vivo (NVivo), challenges that assumption. This article explores the goals of rich data in qualitative research and the ways NVivo addresses these. Like its sibling software, NUD•IST4, NVivo su…
Closeness to Data
An essential goal of all qualitative researchers is getting close to data. Recently, that goal has gained prominence without critical examination. Pursuit of closeness poses risks and requires careful specification. This article identifies four very different meanings of "closeness to data." Although being close to data in each of these senses is essential to researchers, the challenge of getting distance is critical to good analysis and far more…
User's Mistake as Developer's Challenge
The Nudist qualitative data analysis system
Computing in Qualitative Analysis
In all fields where qualitative data are important, and especially in fields where rigorous qualitative analysis is demanded, computers are remaking methodology. Demand for, and faith in, computing for qualitative analysis is now strongly influencing health research. In this article, the authors argue for an evaluation of the impact of computer techniques and an opening of debate among developers and users of programs to address the purposes, pow…
Nobody's home
Family and Home Ownership in Australia
No abstract available for this article
Australian Women
The Nudist qualitative data analysis system
Closeness to Data
An essential goal of all qualitative researchers is getting close to data. Recently, that goal has gained prominence without critical examination. Pursuit of closeness poses risks and requires careful specification. This article identifies four very different meanings of "closeness to data." Although being close to data in each of these senses is essential to researchers, the challenge of getting distance is critical to good analysis and far more…
Qualitative computing--a methods revolution
Qualitative computing is often described by enthusiasts as revolutionary, but in stark contrast, its methodological innovations are rarely discussed. Why is the debate missing? The paper charts some of the major developments in support for coding and theory-building, exploring the many reasons why these are either taken for granted or unrecognized and often unused. Whilst these tools had the potential to change methods, their adoption and their i…
Data Alive! The Thinking Behind NVivo
Rich data from qualitative research have been treated poorly by computers. Yet, plain text and static documents largely have been uncritically accepted as a price of coding. The new qualitative software from Qualitative Solutions and Research (QSR), NUD•IST Vivo (NVivo), challenges that assumption. This article explores the goals of rich data in qualitative research and the ways NVivo addresses these. Like its sibling software, NUD•IST4, NVivo su…
Qualitative Teamwork
User's Mistake as Developer's Challenge
Computing in Qualitative Analysis
In all fields where qualitative data are important, and especially in fields where rigorous qualitative analysis is demanded, computers are remaking methodology. Demand for, and faith in, computing for qualitative analysis is now strongly influencing health research. In this article, the authors argue for an evaluation of the impact of computer techniques and an opening of debate among developers and users of programs to address the purposes, pow…
Australian Women
Family and Home Ownership in Australia
No abstract available for this article
Nobody's home
The Nudist qualitative data analysis system
Computing in Qualitative Analysis
In all fields where qualitative data are important, and especially in fields where rigorous qualitative analysis is demanded, computers are remaking methodology. Demand for, and faith in, computing for qualitative analysis is now strongly influencing health research. In this article, the authors argue for an evaluation of the impact of computer techniques and an opening of debate among developers and users of programs to address the purposes, pow…
User's Mistake as Developer's Challenge
Closeness to Data
An essential goal of all qualitative researchers is getting close to data. Recently, that goal has gained prominence without critical examination. Pursuit of closeness poses risks and requires careful specification. This article identifies four very different meanings of "closeness to data." Although being close to data in each of these senses is essential to researchers, the challenge of getting distance is critical to good analysis and far more…
Data Alive! The Thinking Behind Nvivo
Qualitative Teamwork
Data Alive! The Thinking Behind NVivo
Rich data from qualitative research have been treated poorly by computers. Yet, plain text and static documents largely have been uncritically accepted as a price of coding. The new qualitative software from Qualitative Solutions and Research (QSR), NUD•IST Vivo (NVivo), challenges that assumption. This article explores the goals of rich data in qualitative research and the ways NVivo addresses these. Like its sibling software, NUD•IST4, NVivo su…
The NVIVO Qualitative Project Book
Introduction The Book and the Software Making a Start First Coding Making Data Working with Data Shaping Your Project 'Emerging' Theory? Ordering Concepts Moving Faster Getting There Preparing Data
Rigorous, Rapid, Reliable and Qualitative? Computing in Qualitative Method
Qualitative researchers are assisted by software tools in pursuit of each of these goals, but in each area there is a need for software design to address the tasks of research where rigor, rapidity, and reliability are paramount requirements
Qualitative computing--a methods revolution
Qualitative computing is often described by enthusiasts as revolutionary, but in stark contrast, its methodological innovations are rarely discussed. Why is the debate missing? The paper charts some of the major developments in support for coding and theory-building, exploring the many reasons why these are either taken for granted or unrecognized and often unused. Whilst these tools had the potential to change methods, their adoption and their i…
Organising Knowledge
The organization, processing and representation of knowledge becomes increasingly important in all scientific and business contexts. This book focuses on qualitative methods for knowledge organization
Handling Qualitative Data
Setting up your project -- Making qualitative data -- Data records -- Up from the data -- Coding -- Handling ideas -- What are you aiming for? -- Searching the data -- Seeing a whole -- Telling it
Readme First for a User's Guide to Qualitative Methods
Preface Why Readme First? Goals Methods and Their Integrity Methodological Diversity and Informed Choice No Mysteries! Learning by Doing It: Qualitative Research as a Craft Qualitative Research as a Challenge Using Readme The Shape of the Book What to Expect Doing Qualitative Research Resources Thinking Research The Integrity of Qualitative Research Methodological Purposiveness Methodological Congruence The Armchair Walkthrough And Now-Your Topic…
Handling Qualitative Data
Computer Science (13 obras) · Sociology (10 obras) · Qualitative research (8 obras) · Qualitative Research Methods and Applications (8 obras) · Data science (6 obras) · Engineering (5 obras) · Psychology (5 obras) · Qualitative Research Methods and Ethics (5 obras) · Social science (5 obras) · Data Analysis and Archiving (3 obras)