Data Analysis, Findings and Implications GRDG690 Data Analysis, Findings and Implications

Data analysis is Ongoing Reflective Asks, what is going on here?

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

Implications asks What does this mean for me as a teacher?

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)

Data analysis Interpretation What themes are emerging? Where do these themes reappear in the data? (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.

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.

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.

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

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

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

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

Presentation Night Expectations How to organize 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)

Next Steps Send in a draft of Findings as directed on the course schedule. Send in a draft of your revised Introduction (which reflects what you discovered (your thesis/claim) and your Implications and Conclusions section as directed on the course schedule. Send in a draft of the whole capstone. 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.) Sign-up for 1-1 meetings (as needed)

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. Meet with me as needed.