Qualitative Data Processing Flashcards
Meta Data Log (Involves: 5)
Research administrative task to keep track of research activities.
Helps to preserve confidentiality.
Involves:
Title of project
Place and date of data collection
Names of data collectors
Code names of participants
Method and format of data collection
Transcription
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Coding
Identify important issues/concepts in data that are relevant to the research question and assign a phrase to summarize.
Smallest unit of text that represents the data.
Related codes are combined to form themes.
What to code
It caught your attention
Seen in a published journal/article
Occurred frequently in the data
Relevant and important to the research question
Appears relevant and important to the participant
Coding Strategies (2)
Deductive coding: codes exist before data. Code book/scheme. Enough current literature on the topic.
Inductive coding: data exists before codes. Little or no knowledge on topic. Codes evolve through the coding process.
Other things to consider for Coding (3)
Iteration (coding over and over again to develop the codes as the analysis progresses).
Reflection (keep a log of procedures accounting for thoughts and feelings).
Triangulation (Linking raw data with codes and documentation of reflection. Even better with multiple coders).
Data Saturation - Reasons to stop data collection/analysis (3)
No new codes are being generated (during iterative coding) -> stop coding.
New data is similar or identical to data already collected (iterative data collection) -> Stop data collection.
In grounded theory research, all elements of the theory are represented in data already collected and analyzed (during theoretical sampling) -> stop theoretical sampling and data collection.
Theoretical Sampling
Collect appropriate data to explain the theory.
The theory generated in one iteration of data collection is used to determine the next type of data to collect.
