Epistemic Network Analysis (ENA) is a method of identifying and quantifying connections among elements in coded data and representing them in dynamic network models. A key feature of the ENA tool is that it enables researchers compare different networks, both visually and through summary statistics that reflect the weighted structure of connections.

The ROCK is a standard for encoding qualitative data in human- and machine-readable format, which is implemented in the R package {rock} available at: https://rock.opens.science and a graphical user interface called iROCK available at: https://i.rock.science. For novice users of R or QE methods, see the ROCK Book at: https://rockbook.org.

nCoder is a learning analytics platform used to develop, validate, and implement automated coding schemes. A powerful tool for transforming raw data into meaningful information, nCoder is designed specifically for working with big data: large document collections, logfiles, and other text data.

Rho is used to test the generalization of inter-rater reliability (IRR) statistics, such as Cohen's kappa. To do this, rho uses an empirical sampling process that produces, for any IRR statistic, an estimate of the expected Type I error rate at a given sample size.