1.  Students can compare and contrast, through an illustrative 
diagram, major forms 
    of qualitative data and assess them for credibility, 
authenticity, reliability,
    and validity:  observational field notes, interview and 
questionnaire transcripts,   
    public and private documents and other participant 
artifacts, and film, tape, 
   and photograph records.

2.  Students can chart and relate conceptual and theoretical 
research frameworks 
    from the social sciences that have informed qualitative 
data 
analysis in     
    educational research.

3.  Students can match qualitatively formulated research 
problems and questions with 
    appropriate selection and sampling procedures and appraise 
these procedures for
    how they affect qualitative data collection and analysis. 

4.  Students can generate credible units from narrative and 
visual data and develop 
    categories from the units by comparing, contrasting, 
aggregating, and ordering 
    the narrative and visual data.  They can generate 
properties 
of the categories 
    from the data and integrate the categories conceptually and 
empirically.

5.  Students can synthesize an analysis of qualitative data by 
presenting it in a 
    chronological or thematic case example or case history, in 
an essay formulated 
    around topics or theses, or in an alternative format 
appropriate to the analysis. 
    Student can interpret a qualitative analysis within its 
appropriate conceptual, 
    theoretical and empirical frameworks.

1.	Course overview
2.	Getting into data analysis
3.	Data analysis: An overview
4.	Inductive analysis
5.	The role of description in meaning making/Data analysis 
groups
6.	The role of analysis in meaning-making/Data analysis 
groups
7.	Theory and analysis/Data analysis groups
8.	Phenomenological approaches to data analysis/Data 
analysis groups
9.	Computer Assisted Qualitative Data Analysis Software
10.	Narrative analysis/Data Analysis Groups
11.	Ethnomethodological & conversation analytic approaches
12.	Writing it up/Data analysis groups
13.	Representation of data/Data analysis groups
14.	Small Group Presentations