The process of recognizing patterns in data after various forms of coding is referred to as what?

The process of recognizing patterns in data after various forms of coding is accurately referred to as theme building. This technique involves identifying and developing themes or patterns that emerge from qualitative data after it has been categorized or coded. Theme building is essential in qualitative research as it allows researchers to synthesize data into meaningful insights, leading to a deeper understanding of complex issues or phenomena.

In contrast, data triangulation refers to the use of multiple data sources to increase the credibility and validity of research findings. Trend analysis involves examining data over time to identify consistent patterns or trends, which is more quantitative in nature. Operational analysis focuses on evaluating the effectiveness and efficiency of organizational operations. Each of these alternative concepts has distinct purposes within research and analytics but does not encapsulate the specific act of synthesizing and recognizing patterns post-coding as theme building does.