How To Design & Conduct Interviews [Tut] Flashcards

1
Q

Pros of questionnaires (in data collection)?

A

• Good at determining specific information.
• large sample size responses.
• better pattern analysis.

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2
Q

Cons of questionnaires (in data collection)?

A

• Terrible at determining more detail about a specific question (unanswered why? question).

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3
Q

Pros of interviews (in data collection)?

A

• One can obtain depth of answers (the why?).
• qualitative data.

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4
Q

Cons of interviews (in data collection)?

A

• Small sample size responses.

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5
Q

Researcher bias?

A

= when questions are ordered in a way that is devoid of biases/subjective views of the researcher and where researchers are expected to be neutral when posing questions.

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6
Q

How to inform the prospective participant about their involvement in your study?/Gain confidence of prospective participants(6)

A

• Explain what your study is about.
• Your expectations of participants.
• Benefits & risks.
• Your promises to them (confidentiality & anonymity).
• Reporting of your data.
• Participation being voluntary.

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7
Q

Things to consider when preparing for the interview. (8)

A

• Setting (Is it appropriate?).
• Community (Which kind of community is it?).
• Recording of data (consent for audio or video recording).
• Making notes after each interview.
• Consider what themes you will look out for in your initial analysis.
• Consider how you will order & pose questions (researcher bias).
• How do your interview questions align with your research question for your study?
• Why is it necessary to consider researcher bias?

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8
Q

Summary of preparation of interview? (6)

A

• Think about the research question & turn this into interview questions.
• Decide on the broad themes for your questions.
• Think about ordering the questions.
• Consider Interview setting.
• Consider Study sample.
• Type of responses that you can expect based on the kind of questions that you ask.

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9
Q

Characteristics of a pilot 1a1interview? (3)

A

• Small group of people.
• Remove any questions that come across as ambiguous, confusing or insensitive.
• Length of interview.

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10
Q

Types of interview structures? (3)

A

• Unstructured interview.
• Semi-structured interview.
• Structured interview.

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11
Q

Brief description for data analysis?/How to data analyze well?(5)

A

• Read & reread interview transcripts.
• Code the data from interviews (themes).
• Find patterns & themes that emerge from the data.
• Software programmes.
• Trustworthiness.

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12
Q

Dimensions of trustworthiness? (4)

A

• Credibility.
• Transferability.
• Dependability.
• Confirmability.

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13
Q

Data collection forms?/How can data be collected? (3)

A

• Focus group interviews.
• Individual interviews.
• Venue/setting for interview.

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14
Q

Focus group interviews characteristics? (7)

A

• 6-12 people.
• discussion of the people’s views, experiences, etc.
• pre-determined set of questions.
• Open-ended questions.
• people must feel comfortable to express opinions.
• free communication.
• interviewer should control direction of the interview.

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15
Q

Individual interviews characteristics? (3)

A

• 1 on 1.
• interviewer & interviewee.
• more in-depth questions & answers.

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16
Q

Structured interview characteristics? (4)

A

• predetermined questions.
• more controlled.
• less flexible.
• easy data analysis.

17
Q

Semi-structured interview characteristics? ()

A

• more flexibility.
• not completely predetermined.
• more complicated data analysis.
• more probing questions can be asked.

18
Q

Unstructured interview characteristics? (5)

A

• evenly controlled interview.
• very flexible.
• direction is unpredictable.
• findings are more difficult to analyze.
• many unexpected findings due to unpredictable direction of interview.