Which type of data representation is typically used for qualitative data?

The choice involving narrative descriptions and thematic analysis is particularly suited for qualitative data representation. Qualitative data is characterized by non-numerical information that captures the quality, meaning, and experiences behind respondents' perspectives. Narrative descriptions allow researchers to convey in-depth insights and contextual information about the data collected, while thematic analysis involves identifying and interpreting patterns or themes within qualitative data. This approach helps to uncover the nuances and complexities of human behavior, perceptions, and social phenomena, which are often lost in purely quantitative representations.

In contrast, the other options typically align with quantitative data representation. Numerical tables and graphs are used to summarize and present numerical data in a visual format, facilitating comparisons and trends. Statistical models and predictions rely on quantifiable data to make forecasts or test hypotheses. Surveys and questionnaires can gather both qualitative and quantitative data, but the way the data is analyzed determines whether it is qualitative or quantitative. For qualitative analysis, open-ended questions from surveys may lead to narrative descriptions, but the primary focus for qualitative representation is best captured in the first choice.