Week 7 Videocast Slide Deck

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October 01, 2020

Week 7 Videocast Slide Deck

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DPC

October 01, 2020
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Transcript

  1. Research Design Qualitative Data Collection PADMN 6289// WEEK 7

  2. Collection through analysis 03 Dimensions to consider 02 Qual definition

    & examples 01 This Videocast
  3. RQ The Research Design Concept identification Definitions and measurement Data

    collection Data analysis Findings Conclusions The Research Process Epistemic approach Literature review
  4. The Research Design Concept identification Definitions and measurement Data collection

    Data analysis The Research Process In qualitative research, the line between data collection and analysis is often not a clean one
  5. Qualitative Data 01

  6. Qualitative Data Non-numerical data, taking the form of written words,

    recorded narratives, images or videos, etc.
  7. Qualitative Data Less frequently concerned with measuring amounts our discrete

    concepts/phenomena and more concerned with “thick” descriptions, experiences, and answering “how” or “why” questions
  8. Interviews Documents (e.g. media, organizational publications, public records) Websites and/or

    social media content Focus groups Observer and/or participant-observer Non-text content (e.g. recordings, videos) Historical (e.g. journals, older news media, other older documentation, etc) More common (in public affairs research) Less common (but appropriate and valuable) Qualitative Data Sources
  9. Dimensions to Consider 02

  10. Research objectives Explore? Describe? Explain?

  11. Sampling Purposive sampling strategies • Maximum variation • Representation •

    Key informants • Snowball • Etc.
  12. Data collection instruments • Interview questions • Participant/observer framework •

    Coding framework (discussed later) • Etc.
  13. Question(s) Theory & Concepts Data Deductive Positivism/empiricism Greater structure in

    collection Inductive Interpretivism Less structure in collection
  14. RQ The Research Design Concept identification Definitions and measurement Data

    collection Data analysis Findings Conclusions The Research Process Epistemic approach Literature review
  15. The Research Design Concept identification Definitions and measurement Data collection

    Data analysis The Research Process Deductive design Inductive design
  16. Collection through analysis 03

  17. ” Sometimes content analysis [aka “coding”] is used when working

    with narratives such as personal diaries and journals. In the strictest sense, content analysis converts qualitative data into quantitative analysis. However, it is often used qualitatively to identify common themes. — Gail Johnson
  18. Coding i.e. “to code” Convert qualitative content into qualitative data

    by assigning it to/tagging it with a more general, abstract, or comparable meaning • A code can be “more” or “less” quantitative or qualitative • Coding often takes the form of assigning themes to text • Coding can be “more” or “less” inductive or deductive Question(s) Theory & Concepts Data Deductive Inductive
  19. Research Design Qualitative Data Collection PADMN 6289// WEEK 7