Chapter 17: The Nature of Qualitative Research Flashcards

(15 cards)

1
Q

What is qualitative research?

A

Research focused on meaning and experience.

Example: Studying employee stories about job stress.

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2
Q

What is inductive reasoning?

A

Building theory from data.

Example: Noticing patterns in interview responses.

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3
Q

What is grounded theory?

A

Developing theory directly from data analysis.

Example: Identifying a new leadership style from interviews.

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4
Q

What is reflexivity in qualitative research?

A

Acknowledging your own role in shaping data.

Example: Recognizing how your questions influence answers.

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5
Q

What is “thick description”?

A

Detailed, rich descriptions of context and behavior.

Example: A vivid narrative of a team meeting.

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6
Q

What is an emic perspective?

A

Understanding behavior from the participant’s viewpoint.

Example: Seeing “overtime” as pride, not burden.

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7
Q

What is context in qualitative research?

A

The environment shaping participant experiences.

Example: A startup vs. corporate office culture.

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8
Q

What is interpretivism?

A

Understanding meaning through participants’ eyes.

Example: Exploring what “leadership” means to different workers.

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9
Q

What is triangulation?

A

Using multiple data sources/methods for credibility.

Example: Combining interviews and observations.

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10
Q

What are themes in qualitative analysis?

A

Recurring patterns or topics in data.

Example: “Lack of trust” as a common theme.

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11
Q

What is purposive sampling?

A

Choosing participants for their relevance to the topic.

Example: Interviewing only HR managers.

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12
Q

What is credibility in qualitative research?

A

Trustworthiness of findings.

Example: Using participant quotes as evidence.

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13
Q

What is transferability?

A

Applicability of findings to other settings.

Example: From a hospital to another public service.

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14
Q

What is dependability?

A

Consistency and transparency in research process.

Example: Documenting how you coded interviews.

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15
Q

What is confirmability?

A

Neutrality and objectivity in findings.

Example: Avoiding cherry-picking data.

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