Quantitative research is characterised by the collection of numerical data that can be analysed using statistical techniques. It often begins with clearly stated hypotheses and variables that can be measured and tested. The goal is usually to examine relationships, differences or trends that can be generalised to a larger population. Because the stem describes numerical data and statistical hypothesis testing, it clearly refers to quantitative research.
Option A:
Qualitative research typically focuses on understanding meanings, experiences and processes through non-numerical data such as interviews, observations and documents. While it may use some counting, it does not primarily rely on statistical procedures to test predefined hypotheses. Therefore, qualitative research does not match the description in the stem.
Option B:
Historical research investigates past events and developments using records, documents and artefacts to interpret what happened and why. It may occasionally use numerical data, but its main emphasis is on chronological analysis and interpretation, not on hypothesis testing with statistical procedures. Thus, historical research is not the best fit here.
Option C:
Quantitative research designs, such as surveys or experiments, are built around measurement and statistical analysis. Researchers specify hypotheses, operationalise variables and collect data in a structured way to allow for statistical inference. Since the stem highlights these very features, quantitative research is the correct completion.
Option D:
Ethnographic research is a qualitative approach that involves prolonged immersion in a cultural or social setting to understand practices and meanings from the participants’ perspective. It usually produces rich descriptive narratives rather than primarily numerical, hypothesis-testing data. Consequently, ethnographic research is not what the question describes.
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