Benefits and Challenges of Analyzing Qualitative Data Sheelagh - - PowerPoint PPT Presentation

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Benefits and Challenges of Analyzing Qualitative Data Sheelagh - - PowerPoint PPT Presentation

May 08, 2023 228 likes •404 views

Benefits and Challenges of Analyzing Qualitative Data Sheelagh Carpendale empirical research binary? qualitative or quantitative spectrum quantitative qualitative spectrum quantitative qualitative we will look at the qualitative part of

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Benefits and Challenges

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Analyzing Qualitative Data

Sheelagh Carpendale

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empirical research

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binary?

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qualitative or quantitative

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spectrum qualitative quantitative

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spectrum qualitative quantitative

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we will look at the qualitative part of this spectrum qualitative

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even then there are more reality‐based (on left) and more controlled (on right) qualitative controlled reality‐based

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Benefits: a rich slice of reality

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Benefits: a insight into real‐world tasks, and problems

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Benefits: a inspiration for appropriate design

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Challenges

There are challenges at all stages of the process Sampling – random sampling generalization – objection ‘convenience’ sampling purposeful sampling Data gathering – ‘as is’ (fly-on-the-wall) some ‘intervention’; led; elicited, … – data lacks precision is rich and difficult to work with Data analysis – what this morning is gong to be about ….

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Challenges

Methods Sequential models of methods problematic – qualitative methods tend to need to be re-thought in every step – consider – ‘logic-in-use’ vs re-constructed logic’ (Kaplan) – as Maxwell (2005) suggests applying these concepts to study design – rigorous qualitative study design needs constant re-thinking

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qualitative controlled reality‐based

Degree of reality depends on ‐ how data is collected ‐ how data is analyzed ‐ possible to approach ‐ not possible in absolute Degree of control depends on how data is collected ‐ how data is analyzed ‐ becomes more quantitative ‐ possible to approach ‐ not possible in absolute ‐

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qualitative controlled reality‐based

Degree of reality depends on ‐ how data is collected ‐ how data is analyzed ‐ possible to approach ‐ not possible in absolute Degree of control depends on how data is collected ‐ how data is analyzed ‐ becomes more quantitative ‐ possible to approach ‐ closed coding ‐ Inter‐coder reliability ‐

while my personal interest is tending towards

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qualitative controlled reality‐based

Degree of reality depends on ‐ how data is collected ‐ how data is analyzed ‐ possible to approach ‐ not possible in absolute Degree of control depends on how data is collected ‐ how data is analyzed ‐ becomes more quantitative ‐ possible to approach ‐ closed coding ‐ Inter‐coder reliability ‐

(approximate subjective positioning) while my personal interest is tending towards

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Overview

8:30 Introductions 8:45 Benefits and Challenges of Qualitative Data Analysis (Sheelagh Carpendale) 9:00: Choosing a Focus (Uta Hinrichs) 9:15: Activity 1: choosing a focus 9:30: Closed Coding (Melanie Tory) 9:45: Open Coding (Alice Thudt) BREAK 10:10 to 10:30 10:30: Open Coding Activity Explanation (Alice Thudt) 10:35: Activity 3: open coding 11:05: Clustering and Categorizing (Soren Knudsen) 11:20: Activity 4: clustering and categorizing 11:40: Consensus and Agreement (Sheelagh Carpendale) 11:45: Closing Panel for questions and discussion 12:10 - End