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Week 10 data collection and analysis

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  • 1. AGENDA
    • Talking about job descriptions in your field
    • Group work: Sharing Resumes and Cover letters
    • Moving forward with your SAPs: Data Analysis
    • What is multimodal/multigenre writing? Brainstorming various multigenre writing options for your SAPs.
    • Assignments
  • 2. Sharing Resumes and Cover letters
    • In pairs, explain what job you’re applying, why you are interested in this job.
    • Look at your classmates resume and cover letter and answer the followings:
    • Do you think this person is a good fit for the available position? If so, why?
    • What are some of the strengths of the persons resume and cover-letter?
    • What can he/she do to improve them (comment on both written and experiential aspects)?
  • 3. Back to SAPs
    • Research papers come in all shapes, sizes, forms, and disciplines.
    • Different genres: argumentative, descriptive, narrative, analytic
    • In this class we’re working on multiple genres : 1) Research Article 2) Multimodal work (combination of multiple genres)
  • 4. Social Action Research Process
  • 5. Multigenre writing: A creative component of your SAPs
    • A multi-genre project is a project that will use a mix of genres to create your own work based on your SAPs.
    • The main aim of this project is to help you explore a social action issue that you care and more importantly expand your understanding of genre and academic. You will be given a chance to use a wide range of genres in your own creative projects.
    • Your must contain at least two “genres”
    • Your instructor will talk to Media relations next week to cover any expenses!
  • 6. Derek’s multi-genre project on Post-traumatic Stress Disorder
  • 7. Sarah’s Armenian Genocide and 9/11 description
  • 8. Mick’s Multi-genre project on DUI experience
  • 9. WebQuest and Video Creation
    • Homelessness in U.S.A.
    • http://questgarden.com/51/22/4/070608090111/index.htm
    • Teaching
    • http://www.youtube.com/watch?v=14OF1fhKPts&feature=related
  • 10. Multigenre/multimodal writing
    • Similar to standard research papers
      • Select a topic/interest
      • Conduct research using standard methods
      • Collect information
      • Process information
      • Analyze data
      • Present your findings with an academic language.
    • Different than standard research papers
      • Writings of different genres/creative pieces
      • Writer is personally engaged
      • Inclusion of visual elements
      • Includes audio-video text, podcasts.
      • Powerpoint presentations
  • 11. Before the Multimodal arrives…Data collection and analysis
    • Make sure you complete your data collection by November 10
    • Digitize your data (feel free to use video recording or audio recording)
    • Move all your data in one folder.
    • Use wide range of data sources (feel free to include photos, clips etc.)
  • 13. What will you do with your data?
  • 14. What is your data?
    • Interview transcripts
    • Articles
    • Video recordings
    • Documentaries
    • Visuals: Photos, advertisements
    • Observation notes, field notes
  • 15. What is Data Analysis? Steps of Data Analysis
    • Get to know your data
    • Good analysis starts with getting to know your data very well.
    • Write down your impressions about your data. What can you find so far?
    • Identify your main questions again AND look for answers in your data
    • Identify themes and patterns (look at the language being used, phrases, words, photos etc…)
    • Organize them into coherent cathegories
  • 16. Findings emerging themes and categories
    • Analysis is a breaking up, separating, or disassembling of research materials into pieces, parts, elements, or units.
    • Reread your data and search for types, classes, sequences, processes, patterns, or wholes. Look at your data what emerging themes do you see?
    • The aim of this process is to assemble or reconstruct the data in meaningful or comprehensible fashion (Jorgenson, 1989: 107).
  • 17. Emerging categories
    • Rather than bringing your own assumptions or preconceived categories and themes, you need to reread your data and find themes that recur in your data.
    • So, categories are defined AFTER you worked on your data.
    • Example # 1: What is the benefit of youth mentoring program?
    • Responses to this question were sorted out: Benefits to youth, benefits to family, benefits to community.
    • Example # 2: What makes a quality education program?
    • Responses to this question were sorted out: Staff, relevance, participation, time , content
  • 18. Some key language you can use…
    • The interview results…the survey results…my analysis of media…my analysis on women’s photos….
    • suggest that….reveals…shows…demonstrates…
    • Indicates….
    • Some of the common themes emerging in the data includes:….
    • One of the most intriguing responses that X gave is…
  • 19. Assignments
    • Continue with your data collection
    • When we come back on Tuesday, we will talk more about data analysis, and see sample sample research papers and analyze the data analysis sections