Tuesday, October 29, 2013

Saldana Ch. 5 and 6

Saldana's The Coding Manual for Qualitative Researchers

Ch. 5: Second Cycle Coding Methods

The Goals of Second Cycle Methods
The second cycle of coding is the point at which the myriad codes created in the first cycle get refined into larger codes or categorical labels. The idea is to begin finding trends or themes within the data which can eventually be assembled into a theory or model. We have to be careful that our categories are not too disparate; if they are, we are probably misrepresenting some things because data will not tend to hold such variety without overlap.

Second Cycle Coding Methods
Pattern coding: a meta-code that pulls the existing codes into a smaller number of codes or categories
Focused coding: looks for frequent or high intensity codes to identify salient features of the text
Axial coding: reassembles split data; looks for dominant and subordinate codes to create a categorical system that specifies the properties and dimensions of categories
Theoretical coding: Identifies a core category and formulates codes that relate the data to that category; can be theory-driven or emergent
Elaborative coding: Uses categories/themes from a previous study to interpret the data; strengthens the theory by seeing how well the prior coding set explains the new data
Longitudinal coding: Used for life-long studies; notes increase/decrease in study variables, accumulations, epiphanies, idiosyncracies, constancy, and missing data

Ch. 6: After Second Cycle Coding
It can be difficult to transition from fully-coded data to making theoretical claims. There are many different formats that research can take, so Saldana focuses on solidifying ideas.

Focusing Strategies
The "top 10" list: Use the 10 most interesting or varied pieces of data to illustrate the salience or breadth of your research
The study's "trinity": Identify the three most important concepts in your research and figure out the relationship between the three
Codeweaving: Using the major codes in your research, tell a story that structures the relationships between the codes
The "touch test": Look at your codes and find those that are things-- what can be touched? These codes need to be abstracted a level (mother to motherhood)

From Coding to Theorizing
Elements of a theory: Identify the if/then components or relationships within your coding
Categories of categories: Place your existing categories into larger categories

Formatting Matters
Rich text emphasis: Bold major concepts and italicize important assertions
Headings and subheadings: Use headings and subheadings to structure an argument

Writing About Coding
It is helpful to include as much information about the methods you used as possible. This includes everything from the data acquisition and sampling to the computer programs you used to code and manage the data. Make sure to emphasize major outcomes of the analysis.

Ordering and Reordering
Analytic storytelling: Tell the story of your analysis in a chronological way
One thing at a time: Write about concepts or categories one at a time, keeping them separate initially
Begin with the conclusion: If having trouble writing, begin with the conclusion

Assistance from Others
Peer and online support: Have peers (in person or online) look at your work and provide suggestions
Searching for "buried treasure": Have readers of your work look for important ideas or assertions that are not explained

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