8 Arts-based and embodied data analysis
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Helen Kara
Abstract
In general, the analysis of data may be both the most specialised and the least well understood aspect of making research. A common failing of research reports and journal articles is not to explain the process of analysing data clearly enough for readers to gauge their level of confidence in the findings, or for researchers to replicate the analytic method (Odena 2013: 364).
Like data gathering, data analysis needs careful planning. There are a wide range of methods available to researchers. However, the methods we choose should not be the ones that appeal to us the most, but the ones that are most likely to help us answer our research questions. Other factors in choosing analytic methods are the type and status of the data. These points apply whether we are doing quantitative, qualitative or multi-modal research.
There are many ways to analyse any given set of data. Suppose that you hold a focus group with eight first-generation immigrants from different countries of origin. You begin by having each person share some basic demographic data by way of introduction: where they have lived, how old they are, their occupation(s) before and after immigration, who and where their family members are. Then you facilitate a discussion of their experiences of emigration and immigration around themes drawn from the academic literature, including wealth and poverty, coercion and freedom, belonging, emotion, status, togetherness and separation. The resulting data would be amenable to quantitative and qualitative analysis. In quantitative terms, you could do only descriptive statistical analysis, as your sample size and nature would not support inferential statistics.
Abstract
In general, the analysis of data may be both the most specialised and the least well understood aspect of making research. A common failing of research reports and journal articles is not to explain the process of analysing data clearly enough for readers to gauge their level of confidence in the findings, or for researchers to replicate the analytic method (Odena 2013: 364).
Like data gathering, data analysis needs careful planning. There are a wide range of methods available to researchers. However, the methods we choose should not be the ones that appeal to us the most, but the ones that are most likely to help us answer our research questions. Other factors in choosing analytic methods are the type and status of the data. These points apply whether we are doing quantitative, qualitative or multi-modal research.
There are many ways to analyse any given set of data. Suppose that you hold a focus group with eight first-generation immigrants from different countries of origin. You begin by having each person share some basic demographic data by way of introduction: where they have lived, how old they are, their occupation(s) before and after immigration, who and where their family members are. Then you facilitate a discussion of their experiences of emigration and immigration around themes drawn from the academic literature, including wealth and poverty, coercion and freedom, belonging, emotion, status, togetherness and separation. The resulting data would be amenable to quantitative and qualitative analysis. In quantitative terms, you could do only descriptive statistical analysis, as your sample size and nature would not support inferential statistics.
Kapitel in diesem Buch
- Front Matter i
- Contents vii
- List of boxes, figures and tables xi
- Notes on the author xv
- Foreword xvi
- Debts of gratitude xvii
- How this book can help 1
- Introducing creative research 5
- Creative research methods in practice 23
- Transformative research frameworks and Indigenous research 45
- Creative research methods and ethics 61
- Creative thinking 77
- Arts-based and embodied data gathering 101
- Technology-based and multi-modal data gathering 119
- Arts-based and embodied data analysis 135
- Technology-based and multi-modal data analysis 149
- Arts-based and embodied research reporting 163
- Technology-based and multi-modal research reporting 177
- Arts-based and embodied presentation 187
- Technology-based and multi-modal presentation 199
- From research into practice 215
- Conclusion 235
- Further reading 239
- References 241
- Index 285
Kapitel in diesem Buch
- Front Matter i
- Contents vii
- List of boxes, figures and tables xi
- Notes on the author xv
- Foreword xvi
- Debts of gratitude xvii
- How this book can help 1
- Introducing creative research 5
- Creative research methods in practice 23
- Transformative research frameworks and Indigenous research 45
- Creative research methods and ethics 61
- Creative thinking 77
- Arts-based and embodied data gathering 101
- Technology-based and multi-modal data gathering 119
- Arts-based and embodied data analysis 135
- Technology-based and multi-modal data analysis 149
- Arts-based and embodied research reporting 163
- Technology-based and multi-modal research reporting 177
- Arts-based and embodied presentation 187
- Technology-based and multi-modal presentation 199
- From research into practice 215
- Conclusion 235
- Further reading 239
- References 241
- Index 285
