Session 15: Philosophy of science, quality and ethic Flashcards

(13 cards)

1
Q

Q: What is ontology in research?

A

A: The study of what exists; the nature of reality.

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2
Q

Q: What is the difference between constructivism and objectivism?

A

A: Constructivism sees reality as socially constructed; objectivism sees reality as independent and discoverable.

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3
Q

Q: What is epistemology in research?

A

A: The study of knowledge—how we know what we know.

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4
Q

Q: Interpretivism vs. Positivism?

A

A: Interpretivism focuses on subjective meaning; positivism focuses on objective facts.

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5
Q

Q: Inductive vs. Deductive reasoning?

A

A: Inductive: from data to theory. Deductive: from theory to hypothesis/testing.

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6
Q

Q: Key contrasts in the qualitative–quantitative divide?

A

Behavior vs. Meaning
Theory testing vs. Theory generating
Numbers vs. Words
Artificial vs. Natural settings

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7
Q

Q: What is the difference between overt and covert research?

A

A: Overt: participants know they’re being studied. Covert: they don’t.

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8
Q

Q: What defines research quality and rigor?

A

A: Reliability, validity, replicability, reproducibility, transparency, novelty.

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9
Q

Q: Key ethical principles in research?

A

A: Avoid harm, obtain informed consent, protect privacy, limit deception.

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10
Q

Q: What are types of scientific misconduct?

A

A: Fabrication, falsification, plagiarism, manipulative citation practices.

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11
Q

What is reciprocal analysis?

A

Reciprocal analysis is the process of applying one type of analysis to the data of the opposite type—for example:
- Quantitative analysis of qualitative data
- Qualitative analysis of quantitative data

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12
Q

What is set theory vs. probability theory

A

Set theory deals with clear group membership: things either belong to a set or not.
Probabilistic theory deals with uncertainty: things have a likelihood (probability) of occurring.

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13
Q

What is the difference between validity and reliability?

A

Reliability: Consistency of results—do you get the same result repeatedly?
Validity: Accuracy—are you measuring what you’re supposed to measure?

Goal: Darts close together (reliability) in the bulls eye (validity).

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