Quantitative research is characterised by the use of structured instruments, numerical data and statistical procedures to test hypotheses or answer questions. It often seeks to establish patterns, relationships or differences among variables in large samples. The emphasis is on objectivity, measurement and generalisability. Hence, research that focuses on numerical data and statistical analysis is appropriately called quantitative research.
Option A:
Historical research involves systematic study of past events using documents and records, and it may use both qualitative and quantitative data. However, it is defined by its temporal focus rather than by emphasis on measurement and statistics alone. Therefore, historical research is not the best completion.
Option B:
Quantitative research commonly uses experiments, surveys and quasi-experiments to collect data that can be summarised with descriptive and inferential statistics. Its strength lies in producing generalisable evidence and estimates of effect sizes. This orientation aligns exactly with the description in the stem.
Option C:
Phenomenological research is a qualitative approach that explores lived experience and the essence of phenomena from participantsโ perspectives. It typically uses in-depth interviews rather than extensive numeric measurement, so phenomenological is not the correct answer.
Option D:
Ethnographic research immerses the researcher in a cultural or organisational setting to understand practices and meanings, relying heavily on qualitative observations and narratives. It is not primarily about numerical measurement and statistical testing, so ethnographic does not fit the stem.
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