Data Analysis, Findings and Implications

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GRDG690

• Data Analysis, Findings and Implications

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Data analysis is

• Ongoing
• Reflective
• Asks, what is going on here?

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Data analysis

• Description describe your data
• What did you see? What was happening? What are
  your initial insights into the data?
• Make multiple copies of your data
• Sense-making read entire data set multiple
  times
• First read through
• What do I notice?
• What pieces of my data stand out from the rest?
• Second read through
• Initial coding
• Identify themes/categories
• Third read through
• Look for disconfirming evidence
• Additional questions

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Implications asks

• What does this mean for me as a teacher?

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What are Codes and Themes?

• Codes - Working labels applied to blocks of text
  (Mills, 2009, p. 124).
• Have meaning for you
• Captures what is going on
• Themes The big picture
• Categories you apply to groups of codes
• Key phrases that keep arising
• Themes stretch across data sources
• Themes should be supported by multiple data
  sources (triangulation)

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Data analysis

• Interpretation
• What themes are emerging?
• Where do these themes reappear in thedata?
  (triangulation)
• How are these themes related? Use concept
  mapping.
• What is missing? What have I missed?
• Once you do all this, you will write up how you
  went about doing it in the data analysis
  subsection of your methods section.

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Implications

• As you write up your findings (the themes with
  supporting evidence from your data), you may find
  yourself writing about what it means.
• Go ahead and write them but then pull your
  implications out and place them in your
  Implications and Conclusions section.

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Conclusions

• Briefly summarize your question, your theoretical
  framework, what the literature said, and what
  your findings and implications were.
• What would you do differently if you were to do
  it again? Where did your study fall short of your
  goals (Limitations)
• What questions does this research leave you with?
  What more do you want to learn?
• What you want your reader left thinking about.

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Abstract

• 120 words max
• Include only the essentials. No citations.
• One sentence for each of these areas.
• Question
• Claim
• Method
• Findings
• Implications

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Brochure

• Once your capstone is complete, create a brochure
  to share with your audience.
• Be as creative as you are able.
• Include pictures
• Graphics
• Tables

• Include
• Your name
• Your title
• Your question
• Significance
• Your findings
• Implications
• Suggested reading (key articles that informed
  your study)
• Contact information

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Publication

• If you decide you would like to turn your
  capstone into an article you must submit an IRB
  application.
• Meet with me 1-1 to learn how to do this.
• Before writing the article, study the journals
  you are interested in submitting to in order to
  learn their style and expectations.
• Possible publication outlets
• Journals you read
• Networks - an online journal for teacher research
  sponsored by the University of Wisconsin-Madison

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Data analysis practice Nate

• Description
• Interview transcript review
• Read it once through
• Read it again, focusing on what stands out,
  writing 1-2 word descriptors for each

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Analyzing Data

• Write each descriptor on an index card
• Work together to sort the descriptors
• Label each category
• What does this tell you about Nates
  understanding of himself as a reader?

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Presentation Night

• Expectations
• How long
• 15 minutes
• 5 minutes between presentations
• Interactivity is encouraged
• Using presentation software
• Keep of words to a minimum
• Use for pictures, graphics, tables

• How to organize
• Your question/topic/claim
• Theory (1 minute)
• Lit review (1 minute)
• Methods (1-2 minutes)
• Findings (5-7 minutes)
• Implications (2-3 minutes)
• Questions (any remaining time)

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Next Steps

• Send in a draft of Findings the week of 4/7-8.
• Send in a draft of your revised Introduction
  (which reflects what you discovered (your
  thesis/claim) and your Implications and
  Conclusions section the week of 4/14-15.
• Send in a draft of the whole capstone the week of
  4/21-22.
• 4/21 Presentation Walk-through/tech rehearsal
• Bring in one (1) copy of your brochure to get
  suggestions on
• Bring in a draft of your PowerPoint, Prezi,
  video, or other presentation materials in order
  to test it out.
• Bring in anything you need scanned to add to your
  final capstone document (artifacts, etc.)
• Allison Bosworth will also be here to talk about
  certification logistics
• Sign-up for 1-1 meetings (as needed)

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Workshop

• Use the rest of class to start your data
  analysis. Work with your critical colleague to
  talk through your initial impressions and to
  begin coding/identifying themes.