Quantitative Data Analysis - Research Methodology RMY371S

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What is the purpose of external validity in research?

External validity ensures if the results of a study can be generalised to a larger population.

What is recommended for case study research according to Yin (2009)?

In case study research, it is encouraged that theories are used in single case studies and replication logic in multiple case studies.

What does generalisation show in research?

Generalisation shows that the result of an empirical investigation can "hold for a variation of populations and settings".

Name the three forms of generalisation that exist.

The three forms of generalisation are: naturalistic, statistical, and analytical generalisation.

What does naturalistic generalisation allow researchers to do?

Naturalistic generalisation allows the findings of a research to be generalised to a more general theory.

How is statistical generalisation commonly used in research?

Statistical generalisation in case study research makes use of empirical data collected from a population under study and conclusions are drawn based on the results obtained. This method of generalisation is commonly used when doing surveys.

What is the purpose of analytical generalisation?

Analytical generalisation allows researchers to develop and generalise theories in which existing hypotheses are tested using two or more cases.

Which research approach primarily uses statistical generalisation?

Statistical generalisation is not commonly used in qualitative research but it is used in quantitative research.

What is required for a naturalistic generalisation according to the text?

In a naturalistic generalisation a detailed case study is used which allows the researcher to have an in-depth understanding of the case.

How can researchers determine if cases are generalisable in naturalistic generalisation?

By studying the case study narrative the researcher can determine if the cases are generalisable to other cases if the circumstances are similar.

Test your knowledge on quantitative research methods and application examples in the field of land administration. Explore concepts such as experiments, surveys, and manipulation of independent variables to determine effects on dependent variables.

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