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.
- 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.