SWP 638 Lecture Notes - Lecture 8: Data Management, Grounded Theory
29 Mar 2017
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Document Summary
Raw data that needs to be reduced and transformed through an iterative process of reading, describing, and interpreting. Balance between staying close to the data and thinking abstractly treat data with integrity. This process always get over looked, little thing finding similarities. Coding (key questions to ask) second impression of the data ask these questions as you are reading. How do structure and context serve to support, maintain, impede, or change these actions. Ongoing process that involves breaking data into meaningful parts for the purpose of examining them. Keyword analysis (how to obtain your key words): Frequent repetition of terms: researchers note words or synonyms that frequently use (look for number of times someone talks about an issue relating to your research) Use of terms: reflect local usage (local context, describe something in a different way due to the community you are a part of etc. )
