The case study method involves intensive, holistic examination of a single case such as a person, class, school or programme. Data are collected from multiple sources, including documents, observations and interviews, to build a rich, contextualised picture. This method is especially useful when the researcher seeks to understand complex processes and unique features rather than to generalise statistically. Therefore, the in-depth investigation described in the stem is correctly termed a case study.
Option A:
Survey methods collect data from many respondents, usually at one point in time, to describe patterns or relationships, not to examine one case in depth. They lack the detailed, contextual focus highlighted in the stem.
Option B:
Experimental methods manipulate variables and use control groups to test hypotheses, which typically involve more than one case and aim at causal generalisation rather than detailed description of a single unit. Thus, they do not fit the stem.
Option C:
A case study uses triangulation of multiple data sources and perspectives to build an in-depth narrative or analysis of the case. It often reveals insights about processes, meanings and interactions that might be missed in broader surveys. These features correspond exactly to the description given, making this option correct.
Option D:
Correlational methods focus on measuring the strength and direction of relationships between variables across many cases and do not centre on intensive study of a single individual or institution.
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