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Summary

Samenvatting Research Methods (Quantitative Qualitative)

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Summary of the 3rd year course Research Methods, divided into lectures on Quantitative Research Methods and Qualitative Research Methods ( a completed exercise on coding). Outside of the use for this particular course, this summary can also be used to write your thesis and to have all research methods in one overview, with the corresponding theoretical background.

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Uploaded on
November 10, 2020
Number of pages
20
Written in
2018/2019
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Summary

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Qualitative Research Methods

Qualitative Lecture 1 | introducing qualitative and quantitative research

Qualitative vs Quantitative

Qualitative Quantitative
- Associated with the subjective quality of a - Associated with an objective quality of a thing
thing or phenomenon (reputation) or phenomenon that is measurable and
verifiable (heaviness)
- Emphasizes words in the collection of an - Emphasizes quantification in the collection of
analysis of data an analysis of data

One is not better than the other: they are merely different ways of understanding phenomenon.

Qualitative Quantitative
Exploring relationships Confirming relationships
Building models Testing models
Data collection methods: Data collection methods:
- Interviews - Surveys
- Focus groups - Experiments
- Existing data (sources) - Existing data (numbers)
Explaining relationships observed in a Generalizing relationships observed in a
quantitative study qualitative study

Advantages of qualitative research

- In-depth examination of phenomenon
- Uses subjective information
- Examine complex questions that can be impossible with quantitative methods
→ Quality refers to the what, how, when and where of a certain thing

Triangulation

The use of more than one method or source of data in the study of a social phenomenon, so that
findings may be cross-checked. By combining several lines of sight, researchers obtain a better and
more substantive picture of reality.
- Every method is a different line of sight directed toward the same point: observing social
and symbolic reality.
I. Data triangulation (different sample strategies)
II. Investigator triangulation (multiple perspectives)
III. Theoretical triangulation (multiple theoretical perspectives)
IV. Methodological triangulation (qualitative, quantitative approaches and data)
V. Environmental triangulation (different locations, times and seasons)

Epistemological approaches

Behaviour natural context → Observation: Qualitative
Existing material → Sources and content analysis: Qualitative
Relevant stakeholders quick scan → Questionnaire: Quantitative
Relevant stakeholders in-depth → Interviews: Qualitative

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