Important concepts and principles in quantitative research designs Flashcards

1
Q

What is the ultimate aim of research in health sciences?

A

To provide strong evidence on which the practice of quality care can be based.

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2
Q

What are key characteristics of a good research question?

A

specific, precise, not too narrow or too broad

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3
Q

What is the main goal of quantitative research?

A

To determine a relationship between or within variables through systematic, empirical investigation of observable phenomena using statistical, mathematical, or numerical data.

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4
Q

What is the starting point of quantitative research?

A

Hypothesis formulation.

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5
Q

What are the main steps in the quantitative research process?

A

Idea generation, hypothesis formulation, study design, literature review, sample definition, data collection, data analysis, and reporting results.

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6
Q

How are quantitative studies classified based on time dimension?

A

They can be classified as cross-sectional (specific point in time) or longitudinal (extended period of time).

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7
Q

What is a prospective study in quantitative research?

A

A study where data about a presumed cause are collected first, followed by measurement of the effect or outcome

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8
Q

What is a retrospective study in quantitative research?

A

A study where data on an outcome occurring in the present is linked to determinants from the past.

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9
Q

How does quantitative research differ from qualitative research?

A

Quantitative research focuses on hypothesis-driven, numerical data analysis, while qualitative research explores understanding through subjective data.

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10
Q

What is the purpose of rigour in quantitative research?

A

To ensure systematic design, interpretation, and the study’s validity, precision, and reproducibility.

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11
Q

Define causality in the context of quantitative research.

A

It refers to the relationship where causes lead to specific effects, such as “smoking causes lung cancer.”

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12
Q

What does probability refer to in quantitative research?

A

Relative causality, where a particular cause will probably lead to a specific effect, but not every time.

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