Graphical Representation of Errors
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Questions and Answers

What is the main purpose of Interaction Analysis?

  • To analyze quantitative data using statistical packages
  • To present findings using structured notations
  • To investigate and understand interactions between people and artefacts (correct)
  • To develop a theory from empirical data
  • What is the first level of coding in Grounded Theory?

  • Selective: Form a theoretical scheme
  • Open: Identify categories (correct)
  • Analyzing words, phrases, or sentences
  • Axial: Flesh out and link to subcategories
  • What is the purpose of CAQDAS Networking Project?

  • To support quantitative data analysis
  • To create structured notations for presenting findings
  • To provide tools for qualitative data analysis (correct)
  • To develop theories from empirical data
  • What is the difference between inductive and deductive analysis?

    <p>Inductive analysis extracts concepts from data, while deductive analysis uses pre-existing concepts</p> Signup and view all the answers

    What is the purpose of using statistical packages in data analysis?

    <p>To perform quantitative data analysis</p> Signup and view all the answers

    What is the purpose of using Nvivo and Dedoose tools?

    <p>To support qualitative data analysis</p> Signup and view all the answers

    What is the main purpose of using spreadsheets in data analysis?

    <p>To perform simple data analysis with basic graphs</p> Signup and view all the answers

    What is the main difference between mean, median, and mode?

    <p>They are different types of averages</p> Signup and view all the answers

    What is the main purpose of using stories in presenting findings?

    <p>To present ideas in an easy and intuitive way</p> Signup and view all the answers

    What is the main purpose of socio-technical systems theory?

    <p>To understand a whole socio-technical system</p> Signup and view all the answers

    Study Notes

    Data Analysis, Interpretation, and Presentation

    • Graphical representations provide an overview of the data

    Types of Data and Analysis

    • Quantitative data: Expressed as numbers
    • Qualitative data: Difficult to measure sensibly as numbers, e.g. how to measure dissatisfaction
    • Quantitative analysis: Numerical methods to ascertain size, magnitude, and amount
    • Qualitative analysis: Expresses the nature of elements and is represented as themes, patterns, or stories

    Quantitative Analysis

    • Averages: • Mean: Add up values and divide by the number of data points • Median: Middle value of data when ranked • Mode: Figure that appears most often in the data
    • Percentages (%): Be careful not to mislead with numbers!

    Interaction Analysis

    • Investigates and understands interactions between people and artefacts
    • Based on empirical observations, such as videos
    • Inductive process in teams, collaboratively
    • Contents of the material is logged, materials are extracted, classified, or removed
    • Instances of a salient event are assembled and played one after the other

    Grounded Theory

    • Seeks to develop theory from a systematic analysis of empirical data
    • Three levels of ‘coding’: • Open: Identify categories • Axial: Flesh out and link to subcategories • Selective: Form a theoretical scheme
    • Researchers are encouraged to draw on their own theoretical backgrounds to inform analysis

    Frameworks and Tools

    • System-based frameworks: Socio-technical systems theory and Distributed Cognition of Teamwork
    • Tools to support data analysis: • Spreadsheet: Simple to use, basic graphs • Statistical packages, e.g. SAS and SPSS • Qualitative data analysis tools, e.g. Nvivo and Dedoose • Computer Assisted Qualitative Data Analysis (CAQDAS) Networking Project

    Presenting Findings

    • Structured notations have clear syntax and semantics to present particular viewpoint
    • Stories are an easy and intuitive approach to communicate ideas
    • Summarize findings using a range of notations

    Summary

    • Data analysis depends on data gathering
    • Qualitative and quantitative data may be gathered from any of the three main data gathering approaches
    • Percentages and averages are commonly used in Interaction Design
    • Analysis of qualitative data may be inductive or deductive

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    Description

    Quiz about graphical representations of data, specifically showing the number of errors made. Understanding data visualization is crucial in many fields.

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