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Initially developed by Barney Glaser and Anselm Strauss, grounded theory provides a methodology for developing theory based on data. The goal of grounded theory is to develop rich or dense theory that reflects the complexity of the phenomena being studied. Grounded theory should be abstracted from the data, understandable to the people studied, and generalizable to similar situations.

Different approaches to grounded theory exist. The Glaserian approach reflects the perspective initially developed by Glaser and Strauss. The Straussian approach was initially developed by Strauss and then refined by Strauss and Juliet Corbin. The first two approaches to grounded theory have been viewed as based in postpositivism because they emphasize that theories allow people to explain and predict. Kathy Charmaz developed a more constructivist approach to grounded theory. The basic approach detailed in this entry is the Straussian approach. In the next section, the data collection and analysis process are described, followed by details on how to write a grounded theory.

Data Collection and Analysis

The process of developing grounded theory is not linear; rather, the researcher tacks back and forth among data collection, data coding, and memo writing. Coding and memo writing begin soon after the initial data are collected and continue throughout the data collection. Coding and memo writing lead to and inform further data collection. Through coding and memo writing, the researcher develops ideas about possible relationships among concepts. The researcher can then engage in more focused data collection in order to test those relationships. Coding and memo writing may also result in questions and insights about possible relationships among categories that lead the researcher to go back and examine data collected earlier in the study.

Coding involves a process of constant comparison. The researcher compares a unit of data to previous data looking for the ways in which the data are similar or different from other data. Glaser and Strauss argued that grounded theory could be based in either quantitative or qualitative data. However, most discussions of grounded theory focus on qualitative data, including but not limited to interviews, field notes, documents, memoirs, letters, diaries, and newspapers. The process of constant comparison helps the researcher determine which category is the best fit for a unit of data, and it enables the researcher to refine categories and develop new categories. The process of coding data often involves three types of coding: open, axial, and selective.

Open Coding

Open coding entails breaking the data apart, developing codes, and assigning units of data to categories. The process involves doing a fine-grained data analysis by focusing on small units of data such as sentences or words. The process of open coding begins soon after the first data are collected. The researcher reads the data, looking for events, issues, or interactions that stand out and seem important in terms of the topic being studied. Items that stand out are compared and contrasted. Those that seem similar are grouped together in a category. The constant comparison in open coding also helps the researcher begin to identify the properties and dimensions of categories. Properties are characteristics such as frequency. Dimensions locate a property within a range such as low to high. The following example will be used to demonstrate the process of open coding.

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