19: Blakeslee/Fleischer Prompts, Ch. 6

Prompt 3 (p. 171): Getting Organized for Analyzing Your Data

The following is a rough draft of a hypothetical calendar for this study:

  • Finish proposal phase (including critical intro, research questions, methods, and literature review): December 10, 2010
  • Obtain permission to conduct study and prepare survey materials: January 1, 2011
  • Conduct survey and observation portion of study: Jan. 1, 2011-Feb. 1, 2011
  • Conduct interview portion of study (and continue survey portion if necessary): Feb. 1, 2011-March 1, 2011
  • Transcribe interviews: March 15, 2011
  • Organize all data: April 1, 2011
  • Complete analysis of data: May 1, 2011
  • Finalize write-up of study: June 15, 2011

The following is a plan for organizing research materials:

  • Observation notes will have their own notebook. I will later transcribe and organize relevant observations into a Word document.
  • Surveys will be administered as one sheet of paper, which I will gather. Later, I will put these results into a Word document.
  • Interview data will be recorded, then transcribed into a Word document.

Materials:

  • Surveys (developed on a computer and printed)
  • Notebook for observations
  • Audio recorder for interviews
  • Microsoft Word
  • Highlighters for picking out themes in printed data
  • (Maybe) Concordance software (ConcorderPro)
  • A large file folder for saving original data materials

Prompt 8 (p. 185): Creating Research Memos

As I haven’t actually gathered any data yet, this exercise is hypothetical …

I imagine gathering interview data as I always have–by audio recording and then transcribing all information into a Word document. I then print and highlight this document, sometimes cutting it into pieces to rearrange information. A narrative memo–much like a news story–would be my ideal summary of this set of data. I have always treated observation data in much the same way, which the exception that I am unable to audio record it.

Survey data presents a slightly different scenario. I imagine using visual depictions will be more important to me in analyzing this data. Since my variables are sex, age, and ability, I will likely create tables for each of these variables that show participant responses to each question. This way, I can easily compare results from participants who share variables and pick out themes.

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