Understanding Data and Ways to Systematically Collect Data Flashcards

(43 cards)

1
Q

Kinds of Qualitative Research Design

A

Ethnographic, Grounded Theory, Case Study Design, Phenomenological Design, Narrative

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2
Q

Aimed at exploring cultural phenomenon reflecting knowledge and meaning of a cultural group like historic formation, compositions, materiality and people’s heritage.

A

Explain ethnographic / ethnography

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3
Q

How is date collection done in Ethnography?

A

conducting audio and video interviews, field notes, and surveys.

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4
Q

The research should be open but it can take months to structure verification and summary in the later phase to form one central theme.

A

process of Grounded Theory

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5
Q

To develop theory surrounding phenomenon grounded in observation.

A

Grounded Theory

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6
Q

The researcher collects a detailed information through a huge amount of data collection procedures over a constant period of time.

A

Case Studies

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7
Q

how is data collection done in case studies?

A

field notes, interviews, surveys, or observation the case study gives a descriptive account of the entities’ experiences or behaviors kept by the researcher.

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8
Q

The real meaning of human experience about a phenomenon.

A

Phenomenological Research

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9
Q

use of Phenomenological Research

A

Helpful for collecting stories, narratives and anecdotes from individuals and groups of people.

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10
Q

4 roles the researcher can assume in Phenomenological Research

A

Complete Observer, Complete Participant, Participant-as-observer, Observer-as-participant

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11
Q

Roles of Complete Observer & Complete Participant

A

the group is uninformed of the observer’s status as a researcher

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12
Q

Roles of Participant-as-observer & Observer-as-participant

A

group members are conscious of the researcher’s role

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13
Q

How is Narrative Inquiry used?

A

to obtain a deeper understanding in which individuals organize and develop meaning from events.

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14
Q

How is Narrative Inquiry done?

A

studying the impact of social structures on an individual and
how that relates to identity, intimate relationships, and family

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15
Q

Kinds of sample description

A

Redundancy Criterion & Pragmatic Criterion

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16
Q

Redundancy Criterion

A

When no new information is forthcoming from new sampled units, stop collecting data

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17
Q

Pragmatic Criterion

A

in defining sample size, considering the amount of time it costs to do and transcribe the interviews and the number of sub-groups from which one will select respondents.

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18
Q

strategies to obtain a quality sample

A
  • focus on the study
  • find a representative sample
  • determine a recruitment strategy
  • consult with the community to identify and recruit potential participants
  • avoid selection bias
  • do not after the first attempt to recruit a potential participant
  • allow for flexibility in the process
19
Q

Sampling techniques for which a person’s likelihood of being selected for membership in the sample is known.

A

Nonprobability Sampling

20
Q

types of nonprobability Samples

A

purposive samples, snowball samples, quota samples, convenience samples

21
Q

a researcher begins with specific perspectives in mind that he wishes to examine and then seeks out research participants who cover that full range of perspectives

A

Purposive Sampling

22
Q

participants of purposive sampling

A

they have a target number of participants rather than a set requirement

23
Q

a researcher might know of one or two people he would like to include in his study but then relies on those initial participants to help identify additional study participants

A

Snowball sampling

24
Q

a researcher identifies categories that are important to the study and for which there is likely to some variation

A

Quota sampling

25
a researcher simply collects data from those people or other relevant elements to which he or she has most convenient access useful in exploratory research
Convenience sampling/ Haphazard Sampling
26
Some of the things a researcher might do with the information he collects:
- Entering narratives, numbers, and other information into a computer program - Performing any mathematical or similar operations needed to get quantitative information ready for analysis. - Transcribing - Coding data - Organizing Data
27
3 methods of data collection
participant observation direct observation unstructured interviewing
28
the researcher becomes a participant in the culture or environment being observed
Participant Observation
29
- A direct observer doesn't typically try to become a participant in the context - Direct observation suggest a more detached perspective - Tends to be more focus than participant observation
Direct Observation
30
- No formal structured instrument or protocol | - The interviewer is free to move the conversation in any direction of interest that may come up
Unstructured Interviewing
31
here questions regarding the research arises
Data analysis
32
6 main system of analysis | ( Easreby-Smith, Thorpe, and Jackson )
``` Content analysis Grounded analysis Social Network analysis Discourse analysis Narrative analysis Conversational analysis ```
33
- no system for prerecording therefore a method for identifying and labeling or coding data needs to be developed that is bespoke for each research which is called content analysis
Content Analysis
34
content analysis can be used when qualitative data has been collected through:
interview, focus group, observation, documentary analysis
35
content analysis two levels
Basic level or the manifest level & | Higher level or latent level of analysis
36
Basic level or the manifest level
descriptive account of the data
37
Higher level or latent level of analysis
a more interpretive analysis that is concerned with the response as well as what may have been inferred or implied
38
- the researcher does not start from a defined point, | - he allows the data to speak for itself, with themes emerging from the discussions and conversations
Grounded Analysis
39
examines the links between individuals as a way of understanding what motivates behavior
Social Network Analysis
40
not only analyses conversation but also takes into account the social context in which the conversation occurs. - including previous conversations, power relationships, and the concept of individual identity
Discourse Analysis
41
looks at the way in which stories are told within an organization or society to try to understand more about the way in which people think and are organized within groups
Narrative Analysis
42
requires a detailed examination of the data, including exactly which words are used, in what order, whether speakers overlap their speech, and where the emphasis is placed. detailed conventions are used in transcribing for conversation analysis.
Conversation Analysis
43
chapter 3 - Methodology parts
research design research respondents data gathering procedure data analysis