Terms (HL) Flashcards

(34 cards)

1
Q

Representational generalization

A

Findings from qualitative research can be applied to populations outside of the population of the study.

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2
Q

Inferential generalization

A

Findings of qualitative research can be applied outside if the setting of the study.

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3
Q

Theoretical generalization

A

Theoretical concepts derived from the study can be used to develop further theory.

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4
Q

Ethical considerations (LIST)

A
Anonymity/Confidentiality
Informed consent
Voluntary participation
Protection from harm
Given clear understanding
Comfortabilty

*watch for very sensitive topics

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5
Q

Purposive sampling

A

Sampling that targets a specific group or people.

  • Quick
  • For rare/difficult to find populations
  • *SAMPLING MAY BE BIASED
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6
Q

Snowball sampling

A

Researcher asks participants if there are other possible participants that they know of.

  • Quick, effortless sampling
  • Can locate hidden populations
  • Cost-efficient
  • *MAY BE BIASED (same opinions)
  • *CONFIDENTIALITY CONCERNS (participants know each other)
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7
Q

Convenience sampling

A

Selects a group of people who happen to be there.

  • Quick, convenient
  • *SIMILAR RESEARCH IS NEEDED (may be biased after)
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8
Q

Participant expectations

A

Also known as reactivity, it is the participants’ ideas of the research and the researcher. Trustworthiness of data may be affected.

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9
Q

Researcher bias

A

Researcher does not pay enough attention to participants, so the researchers’ own beliefs determine the research process.

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10
Q

Triangulation

A

Cross-checking of information/conclusions in research. Usage of multiple procedures/sources is needed.

Needs multiple perspectives/sources/methods to support data.

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11
Q

Types of triangulation (list)

A

Method triangulation: comparing data that come from the use of different methods (qualitative/quantitative)

Data triangulation: comparing data gathered from other participants/sources (qualitative)

Researcher triangulation: use of several observers/interviewers/researchers to compare data

Theory triangulation: looking at data from different theoretical perspectives

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12
Q

Types of reflexivity

A

Personal reflexivity: reflecting on ways in which factors in researcher’s values, beliefs, experiences, interests, and political commitment have influenced the research.

Epistemological reflexivity: reflecting on ways in which knowledge has been generated in the study. (*Look at the limitation of a question that was asked; how many answers could possibly be found)

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13
Q

Participant observation

A

Observer takes part in the situation being studied while doing the research.

  • To gain more intimate familiarity
  • To understand the setting (literal/emotional) of participants (avoids bias)
  • Must create relationships with people they may/may not like
  • Researcher may change in process
  • *WATCH REFLEXIVITY
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14
Q

Non-participant observation

A

Observer is not part of the situation being studied.

  • Easier and faster to gather data
  • Much less energy consuming
  • *WATCH REACTIVITY, CONFIDENTIALITY, AND DECEPTION
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15
Q

Naturalistic observation

A

Observation takes place in the participants’ natural environment. Researchers avoid interfering with behaviour of participants.

  • Good ecological validity
  • Good for generally unethical/impossible cases
  • Need multiple observers
  • *WATCH DECEPTION AND REACTIVITY
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16
Q

Unstructured observation

A

Researcher records all relevant behaviour.

  • No checklist
  • Behaviour is unpredictable
  • Difficult
17
Q

Semi-structured observation

A

Data collection is open-ended, with the researcher having general areas to look for.

  • Easier than unstructured.
  • Allows for deep/detailed analysis
18
Q

Structured observation

A

Researcher records specific, predetermined features of behaviour.

  • Checklist developed before observation
  • Easy
  • Data analysis restricted to preset categories
19
Q

Overt observation

A

Participants know they are being observed.

  • Ethical considerations are reduced
  • Some deception may be used, but participants know that the researcher is there
  • Used to create a good relationship between researcher/participant (if needed)
  • *WATCH REACTIVITY
20
Q

Covert observation

A

Participants do not know they are being observed.

  • Used in settings in which it would normally be difficult to access
  • May be dangerous, if researcher chooses to observe a particularly violent group
  • *WATCH ETHICAL CONSIDERATIONS (NO CONSENT)
21
Q

Semi-structured interview

A

Researcher has a guide to structure the interview, but it’s very open-ended. No restricted; researcher may use either closed or open-ended questions.

  • To get insight into personal experience while following a guide
  • Informal structure
  • Researcher may ask participant to elaborate
  • Checklist so all participants may respond to the same general questions
  • *WATCH RESEARCHER BIAS (may lead interview on toward their intended result) AND ECOLOGICAL VALIDITY
22
Q

Focus groups

A

Group discussion used possibly instead of one vs. one.

  • Allows participants to explore/clarify their views toward a question
  • 6-10 people generally, or else it may be difficult to get all of them to participate
  • Purposive sampling used often (so the group will interact as they normally would)
23
Q

Reflexivity

A

Where the researcher should reflect on their own background and beliefs, and how that could play a roll in the research process (bias)

24
Q

Narrative interview

A

Participants are asked to tell stories to the researcher.

  • To see the order in which an individual experiences life (sense)
  • Should be taken as the individual’s interpretation of the context.
  • Good with exploring complexity of a context
  • Can be used with all types of people
  • Time-consuming
  • *WATCH TRUSTWORTHINESS
25
Interviewer effects
Effect caused by the presence of a particular interviewer. **WATCH GENDER, AGE, ETHNICITY, AND RESEARCHER BIAS
26
Considerations before/during/after interviews (list)
BEFORE - Briefing - Potential ethics - Reflexivity DURING - Interview guide - Choice of interviewer - Extent of training of interviewer - Comfortability with recording/note taking of interview (trustworthiness) - General comfortability (rapport) - Ethics - How the interviewer listened - Reactivity or conformity AFTER - Debriefing - How data was recorded (transcription, notes, verbatim or no) - Ethics
27
Inductive content analysis
A way of analyzing data in which the researcher pulls raw data themes from the interview, then generates a new theory based on data collected. - To gain insight into how an individual percieves/explains a phenomenon - Based on presumption that an answer will come from the data taken from the interviews (not outside of study) - Interpretation of a participant's experience * *WATCH REFLEXIVITY AND INTERPRETATION
28
Process of inductive content analysis (list)
1. Read/rereading of transcripts (record initial thoughts) 2. Identifying themes (emerging/raw data themes) 3. Structuring clusters and hierarchies based on data interpreted 3. Summary table of structured themes/relevant quotations that illustrate themes - Analyse data until no more new information can be extracted (data saturation) * *WATCH REFLEXIVITY
29
Case study
An in-depth investigation of human experience. - Can be one person or a group - Chance to investigate phenomena that would otherwise be impossible to study (lack of lab: ecological validity) - Permits insight - Stimulates new research - Helps develop new theories while critiquing old ones **WATCH RESEARCHER BIAS, MEMORY, AND MEMORY OF PARTICIPANTS
30
Intrinsic case study
Represent nothing but themselves. Normally used to investigate a rare phenomenon.
31
Instrumental case study
Represent more general phenomenon of interest. Normally used to investigate a more common phenomenon
32
Descriptive case study
To generate detailed description of a phenomenon
33
Explanatory case study
To describe AND find possible explanations for a phenomenon (old/new theory)
34
Extent of generalization in case studies (list)
- Cannot be replicated - Can be generalized to existing theory - Purposive sampling - Needs support from other studies - Needs a great amount of description if there is a prediction that results will be replicated if given a similar setting