1. Data and Analysis

2. Managing, Analyzing, and Interpreting Data
Marshall, C. and Rossman, G. B. (2006) Designing qualitative research, Sage Publications, Thousand Oaks, Calif.
CHAPTER 5
Recording and Managing Data
Generic Data Analysis Strategies
Analytic Procedures
Organizing the Data
Immersion in the Data
Generating Categories and Themes
Coding the Data
Writing Analytic Memos
Offering Interpretations
Searching for Alternative Understandings
Writing the Report or Representing the Inquiry
Dialogues Between Learners
Further Reading

3. Number of newspaper clippings and percent of total per year
Table Content analysis of 603 newspaper clippings covering Los Belvederes,
Main topic of newspaper clipping (including feature articles, brief reports, press releases, commentary, and letters to the editor)
Number of newspaper clippings and percent of total per year
1982
1983
1984
1985
1986
1987
1990
Popular Mobilization1
Demands and/or claims re: land tenure, services and political action.
Ecological arguments and projects calling for alternative (sustainable) development 14
45% 0%
40% 16
14% 24
21% 15
22% 7
10% 39
39%
562
37% 1 1% 21
25%
32%
Diverse Topics (e.g., poverty, residential segregation) covered from a pro-colono perspective;
Official declarations and politically conservative commentary concerning the politics of containment3 9
29% 8
26% 4
11% 17
49%
18% 56
48% 13
19% 32
13% 47
47% 9% 80
53% 45
56% 11
52%
Total N = 603 31 35
117 67 99
151 81 22

4. Prefigured technical – Emergent Intuitive Continuum
“Whether the researcher prefigures the analysis before collecting data, begins analyzing while collecting, or collects burst and analyzes later depends on the qualitative genre and assumptions of the study. Generating categories of data to collect, like cells in the matrix, can be an important focusing activity of the study. Tightly structured, highly organized, data-gathering and data analyzing schemes, however, often filter out the unusual in the serendipitous – the puzzle that it tended to and pursued would require a recasting of the entire research endeavor. Thus, a balance must be struck between efficiency and design flexibility” (p. 154).
“In qualitative studies, data collection and analysis typically go hand-in-hand to build a coherent interpretation. The researcher is guided by initial concepts in developing understandings that she shifts or modifies as she collects and analyzes the data. Her overall strategy is closer to the interpretive code/subjectivist end of the continuum rather than the technical/objectivist end” (p. 155).
Source: Marshall, C. and Rossman, G. B. (2006) Designing qualitative research, Sage Publications, Thousand Oaks, Calif.

5. Analysing and interpreting your findings
Robson, C. (2007) How to do a Research Project: A Guide for Undergraduate Students, Blackwell Publishers, Madden, Mass.
CHAPTER 6
What this chapter tries to do
Preparing for analysis
Quantitative (numerical) data
Categorical variables
Ordered categorical variables
Summarizing and displaying categorical data
Continuous variables
Calculating summary statistics with continuous variables
Calculating variability
Displaying continuous variables
Statistical tests and statistical significance
Effect sizes
Clinical significance
What test do I use?
Qualitative data
Data reduction and organization
An example ‐ the grounded theory approach to analysis
Using specialist computer packages for qualitative data analysis
Summary of qualitative data analysis
Interpretation ‐ what is going on here?
Further reading

6. Analyzing Case Study Evidence
Yin, R. K. (2003) Case study research : design and methods, Sage Publications, Thousand Oaks, Calif.
CHAPTER 5
An Analytic Strategy: More than Familiarity with Analytic Tools
Specific Analytic Techniques
Pressing for a High‐Quality Analysis