Topic modeling is a type of statistical modeling that extracts topical patterns of text-based data (Egger & Yu, 2022). Typically, within any body of text, users might see a mixture of topics within a corpus or database (Maier et al., 2018; Egger & Yu, 2022).  First, topic modeling is applied to sets of documents or posts, then it creates a list of topics or themes that are said to emerge from the data (See Figure

Qualitative data is non-numerical data that is produced from qualitative research methods. Any of these can be used in data coding.

There are many methods of qualitative data collection methods, and each have their own unique advantages and disadvantages. You should select a qualitative methodology that is best suited for answering your research questions. There are more methodologies than what I’ve listed here, but here are some examples.

Qualitative research is research that utilizes non-numerical from methods such as observations, in depth interviews, or focus groups, or by analyzing content such as documents, or records. Analysis deals with words, meaning, and interpretation. 

The process of coding qualitative data is an important part of the analytical process of analyzing qualitative research. When you generate data from qualitative methods such as semi-structured interviews, qualitative coding allows you to interpret, organize, and structure your observations and interpretations into meaningful theories. Coding in qualitative research allows you to be reflexive, critical, and rigorous with your findings. Continue reading to learn more about coding in research.

At a top level, content analysis in research allows you to examine and understand the content of textual data. There are two types of methodological approaches to content analysis: quantitative content analysis and qualitative content analysis.  The term “qualitative content analysis” can be misleading because it often uses many quantitative elements. For this reason, it is helpful to clearly define each approach to show where this overlap in qualitative content analysis occurs.   What is quantitative

Qualitative content analysis is a research method used to analyze and interpret the content of textual data, such as written documents, interview transcripts, or other forms of communication.  It provides a systematic way to identify patterns, concepts, and larger themes within the data to gain insight into the meaning and context of the content. This guide introduces qualitative content analysis. We also cover many types of qualitative content analysis and address the conflicting ways this