MohrCoddy

MohrCoddy is a methodology and toolset used in the field of qualitative research and content analysis, particularly in the study of social sciences and humanities. It was developed by the German sociologist Monika Mohr in the 1990s. The methodology is primarily used to analyze and interpret text data, such as interview transcripts and written documents, in order to identify patterns and themes.

The MohrCoddy system consists of a set of rules and categories that researchers use to code and analyze the data. This involves breaking down the text into smaller units, such as quotes and sentences, and assigning codes to each unit based on specific criteria. The codes are then used to identify patterns and themes in the data, which can be visualized using various dotcodes.

MohrCoddy is often used in research that involves studying social phenomena, such as inequality, identity, and power relations. The methodology has been praised for its clarity and simplicity, making it accessible to researchers from various backgrounds. However, some critics have argued that the system can be too rigid, limiting the creativity and nuance of the analysis.

The popularity of MohrCoddy has led to its adoption in various research fields, including sociology, anthropology, and psychology. Researchers have used the methodology to study a range of topics, from migration and refugees to public policy and decision-making. While some have raised concerns about the methodology's limits, other researchers have found it to be a valuable tool for organizing and interpreting complex text data.