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Data visualisation during the analysis process

Stela Valchovska, Horizon Digital Economy Research Institute, University of Nottingham, February 2015

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Introduction

• Windows users • Qualitative research • Presentation overview • Along the analysis process rather than just final

result outputs • Types of visualisations in NVivo

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Visualisations presented

• Models • Matrix coding queries • Charts and graphs • Connection maps • Cluster analyses of sources and concepts /

themes

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Models

More entrepreneurial For example: - opportunity-driven start-up - full-time self-employed - registered as an agricultural producer - low aspirations for paid employment - relatively large scale - continuous development of enterprise; start-up of additional business activities - using bank loans - hire non-family labour - enter into business partnerships

Less entrepreneurial For example: - income and/or unemployment-driven start-up - full-time or part-time self-employed - not registered as an agricultural producer - preference for employee status - relatively small scale - not investing and developing the enterprise since start-up - reluctant to borrow finance - labour provided only by family / household members

Entrepreneurship continuum

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Models

Mind-sets

Commitment to the sector low high

high

low

Self-employed Businessman

Employee Peasant

Aspirations for self-employment

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Matrix coding query

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Matrix coding query - charts

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Charts and Graphs

Charting a code by attribute values

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Chart – connection map

All sources informing aspirations-related codes

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Clusters

Comparison of cases representing two of the mind-sets

Nodes clustered by coding similarity representing the four mind-sets

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Dataset

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Models

E-commerce line of research – all data sources

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Models

Process of community enterprise setup

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Thank you!