Week 6 Flashcards
1
Q
Quantitative Sampling
A
- Produce representative group of participants
- Results from sample generalized to population of interest
2
Q
Qualitative Sampling
A
- Less interested in representative sample
- Find participants that fit the picture
3
Q
Probability Strategy
A
- Equal & independent probability of selection
- Need to complete sampling frame
- Rarely used (time consuming & burdensome)
4
Q
Non-Probability Strategy
A
- Elements chosen non-randomly
- Very common
- Qualitative only uses
- Network/snowball
- Purposive
5
Q
Theoretical Sampling
A
- Grounded theory research use
- Groups selected based of relevance to further development of emerging categories
6
Q
Purposive Sampling
A
- Hand pick
- Use criteria
7
Q
Snowball/Network Sampling
A
- Useful for hard-to-locate elements
- Participants know others with same criteria
8
Q
Data Collection
A
- Interviews (may be structured)
- Observation
- Documents & media
9
Q
Data Analysis (Qualitative)
A
- Make meaning out of test/data
- Many methods available
10
Q
Data Analysis Challenges
A
- No universal rules for analyzing
- Massive amounts of data
- Concise/richness balance
- Difficult to critique without access to raw data
11
Q
Data Reduction
A
- Selecting, simplify, transforming
- Data appearing in field notes/transcriptions
12
Q
Data Coding
A
- Sorting, resorting of collected data
- Transform unstructured & messy ideas
13
Q
Credibility
A
- Truth of findings as judged by participants and others within the discipline
14
Q
Audibility
A
- Adequacy of information leading the reader from the research question and raw data through various steps of analysis to the interpretation of findings
15
Q
Fittingness
A
- Faithfulness to the everyday reality of the participants
- Described in enough detail so that others in the discipline can evaluate the importance for their own practice, research, and theory development
