Chapter 10 Flashcards
1
Q
Define grounded theory
A
This is the discovery of theory from data. It adheres to the traditional phases of research: Planning, data collection, data analysis, and reporting. Unlike other types of research, this is not a linear process. The difference is data collection may be revisited repeatedly until theoretical saturation has been reached.
2
Q
Name some common assumptions associated with grounded theory research: (11)
A
- The aim of grounded theory research is to generate or discover a theory.
- Theoretical ideas are set aside to allow a substantive theory to emerge.
- This theory focuses on how individuals interact in relation to the phenomenon under their study.
- Data is acquired through fieldwork, interviews, observations, and documents.
- Data analysis is systematic and begins as soon as data becomes available.
- Data analysis proceeds through identifying categories and connecting the.
- Further data collection is based on emerging concepts.
○ These concepts are developed through constant comparison with additional data. - Data collection can stop when new conceptualizations emerge.
- Data analysis proceeds from open coding, through axial coding, to selective coding around an emerging story line.
- The outcome (resulting theory) is reported in a narrative framework or as a set of propositions.
3
Q
Describe the process of grounded theory research:
A
- Initiation of the research- selection of an area of inquiry and a suitable site for study.
- Data selection- this involves the location and identification of potential data sources associated with the research question.
- Initiation and ongoing data collection- the exchange between data collection in the naturalistic environment. This is where the codes, categories, and rationale are developed.
- Data analysis- constant comparative method for generating and analyzing data.
- Concluding the research- the researcher has observed a point of data/theoretical saturation and a sufficient theory has emerged from the data.
4
Q
Describe the 9 steps of data analysis within grounded theory:
A
- Coding the first set of data
- Application of codes and potential changes in respondents (or sites).
- Comparing and revising the codes.
- Checking for emerging categories (axial coding)
- Forming category sets
- Applying and modifying data set categories and their properties.
- Assessing level of needed elaboration of categories and their properties.
- Clarification of developed concepts.
- Describing and clarifying the analytical rationale of the research process.