Quiz 6 Flashcards
Case Study Research Design
Generates an in-depth multi-faceted understanding of a complex issue in its real-life context; cases are examples that show how and why something happened; model to improve practice; shows changes as the result of a new event.
-sampling by type of case study: one person, event, or program
3 Different types:
Intrinsic
Instrumental
Collective
Data Collection: Triangulation (QUAL)
Data analysis: Includes both QUAN and QUAL methods.
- Qualitative analysis: can be quan or qual
- Quantitative analysis: can be quan or qual
Intrinsic (Case Study)
explore a unique occurrence of a real-life situation; the focus in this type of research is on exploring and explaining the uniqueness of the case
Instrumental (case study)
Selects one case from a group that will develop a better understanding of real-life issues
Collective (case study)
elements from several cases combine to create case; allows more in depth understanding than possible with single case
Focused Ethnography Design
The primary reason for selecting this design is when the goal is to understand the day-to-day aspects of a culture. The researchers would immerse themselves in the culture and collect data over the course of several years. Understand culture of group; in depth look at specific health-related belief/issue/practice within culture sharing group, goal -> researcher develops detailed portrait of groups shared culture, behaviors, beliefs and to understanding the health-related issue, studying verbal, nonverbal, symbolic communication, understand day to day behavior (explicit) and the implicit patterns about health-related issue
Special features of Focused Ethnographies:
-The focus is on understanding a specific health-related issue within the culture group versus understanding every aspect of the group’s culture.
Gatekeeper: Used to gain entrance into group; introduce; takes time to build trust
- Data collection:
1. Interviews/Observations: field notes -> observational
- Key informant: someone that has knowledge or relationship of group; explains aspects of group behavior and communication patterns in detail. Helps the researcher control for bias
- Triangulation: vitally important
- Data Analysis- can use any of the 29 analysis methods
Phenomenological Design (Lived Expereinces)
The researchers’ goal is to develop an understanding of an event, life situation, or experience through the study of people who have lived through the event/situation/experience
-Focused on collecting data from first person experiences.
Special Features of Phenomenological Design
Sampling: 5-25 people, snowball, purposive, convenience
- Data collection:
1. Interviews - Data analysis:
1. Reflective bracketing: Researcher puts aside own knowledge, experiences, and feeling to allow participant experiences and interpretation to guide
- Member checking: Researcher shares preliminary data analysis (themes) with participants to see if they are accurate; uncovers hidden bias and misinterpretation -> enhance trustworthiness: credibility
- Low inference data: Use of low inference data to explain codes and themes; direct quotes from participant interviews
Grounded Theory Design
Researchers goal is to develop a theory about a “process, action, or interaction, shaped by the views of participants”.
Purpose of Grounded Theory (what does this method seek to understand?): Develop theory or conceptual model that explains real-life processes, actions, or interaction between individuals; NOT experiences; goal is beyond description of the phenomena; development of theory or model
Special Features of Grounded Theory Design
sampling: Theoretical sampling -> recruit people in phases based on results
-Data collection:
In phases:
Data Analysis: open coding (fragmented and
analyzed for commonalities), axial coding
(patterns, interconnections emerge), selective
coding (overall picture of the data)
theoretical sampling
type of non-probability sampling (used for grounded)
Theoretical underpinning
Theoretical underpinning: theory has been established and defines the relationships between variables -> foundational understanding of issue (used in all but grounded theory, especially in case study)
Theoretical framework:
make a theory (used in all but grounded)