Leppink J

Language: Spanish
References: 3
Page: 117-119
PDF size: 183.20 Kb.

ABSTRACT

Both quantitative and qualitative data are important in simulation. However, 'quantitative' and 'qualitative' are usually treated as two different types of data with the argument that qualitative information cannot be quantified. This tendency hinders mixed-methods research and meta-analysis or meta-synthesis of series of studies. Therefore, this article presents a Bayesian model that has already been used for quantitative data and can also help to quantify qualitative information. Although the example used in this article has one participant (N = 1) who provides twelve responses in each of two simulation sessions, this model can also be used in contexts where there is an interest in comparisons between groups of participants.

REFERENCES

1. Leppink J. Small numbers are an opportunity, not a problem. Sci Med. 2021; 31(1): e40128. Available in: https://doi.org/10.15448/1980-6108.2021.1.40128.

2. Leppink J. Diseños de caso único en la simulación. Rev Lat Am Sim Clin. 2021; 3 (2): 80-82. doi: 10.35366/101432.

3. Love J, Selker R, Marsman M, et al. JASP Team (2021). JASP (Version 0.16) [Computer software]. https://jasp-stats.org