Qualitative research focuses on exploring how people interpret and make sense of their experiences, social roles and interactions. It typically uses data in the form of words, images or observations rather than numbers. Methods such as interviews, focus groups and participant observation are common in this approach. Because the stem emphasises understanding meanings, experiences and social processes through non-numerical data, it clearly refers to qualitative research.
Option A:
Qualitative research aims at depth of understanding rather than breadth of coverage, often studying fewer cases in greater detail. It allows for rich descriptions and the development of concepts grounded in participantsโ perspectives. These features match the emphasis in the stem on meanings and experiences, so qualitative is the correct completion.
Option B:
Experimental research involves manipulating an independent variable under controlled conditions to examine its effect on a dependent variable, relying heavily on numerical data and statistics. While it can include qualitative components, it is not defined by non-numerical data and meaning-focused analysis. Thus, experimental is not the best description here.
Option C:
Correlational research examines the statistical relationships between variables without manipulating them, often using numerical data and correlation coefficients. Its primary concern is the strength and direction of associations rather than deep exploration of meanings. Therefore, correlational research does not fit the definition in the stem.
Option D:
Ex post facto research looks for possible causes after an effect has already occurred, usually using existing groups and quantitative measures. Although it may complement qualitative work, it is not inherently about understanding meanings through non-numerical data. Hence, ex post facto is not the appropriate answer.
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