Introduction to fsQCA using R.
What you'll learn
- fsQCA as an analysis of set relations. Sets are usually composed of numbers, or other sets of things.
- In fsQCA, the variables are transformed into sets. Then, it is analyzed what combination of causal sets (dependent variables) produces the outcome set.
- There are many advantages fsQCA has over traditional correlational analysis like regression: Relationships are asymmetrical, Equifinality and Causal complexity
- FsQCA differs from regression analysis in the way it focuses on problems. The focus is on what conditions lead to a given outcome
- You will learn everything. No previous experience is needed about R programming language.
This course is oriented to everyone that wants to study causal relationships using fuzzy set qualitative comparative analysis (fsQCA). That is, the identification of causal configurations or recipes that lead to a certain outcome.
We use the R programming language although no previous experience is required in its use.
The course ends with a practical example to identify the conditions or configurations that lead a bank to a possible bankruptcy situation.
Once the example is understood, the fsQCA methodology can be applied to a large variety of different scenarios.
The structure of the course is the following:
- INTRODUCTION TO FSQCA: includes the explanation of necessity, sufficiency, set membership, calibration, the negation of sets, consistency, coverage, truth table, or different causal solutions
- R INSTALLATION: procedure to install R programming language on a Windows PC and on an Apple computer.
- INTRODUCTION TO R: introduction to R ecosystem, the importance of the working directory, type of R objects, indexing and subsetting data, and introduction to RStudio IDE.
- EXAMPLE OF fsQCA APPLICATION TO BANK FAILURE: data loading, dealing with missing values, the importance of row names, calibration of the outcome and the conditions, selection of fuzzy set variables, truth table construction, and extraction of the different types of solutions: complex, parsimonious and intermediate.
Who this course is for:
- Everybody with an interest in causal relationships that lead to a given output.
Full time Professor at University of Valencia (Spain)
More than 20 years teaching accounting, finance, auditing and computing at University of Valencia.
José Luís Zarzoso Lino and Pedro Carmona Ibáñez (2012). Novedades y repercusión de la Orden EHA/3360/2010 en las Sociedades Cooperativas. Estudios financieros. Revista de contabilidad y tributaciónComentarios, casos prácticos.
Pedro Carmona; Alexandre Momparler and Carlos Lassala (2015).The relationship between non-audit fees and audit quality: dealing with the endogeneity issue. Journal of Service Theory and Practice.
Pedro Carmona Ibáñez; Julián Martínez Vargas and Jose Pozuelo Campillo (2015). Análisis de la innovación en las cooperativas mediante la captación del valor intangible: un estudio empírico. CIRIEC-España Revista de economía pública, social y cooperativa.
Momparler, Alexandre; Carmona, Pedro and Lassala, Carlos (2015). Quality of consulting services and consulting fees. Journal of Business Research.
Julián Martínez; Pedro Carmona and José Pozuelo (2015) LA PRESIÓN FISCAL EN LAS COOPERATIVAS: UNA VALORACIÓN POR TAMAÑOS, COMUNIDADES Y SECTORES PARA EL PERÍODO 2008-2011. Revista de Estudios Cooperativos (revesco).
Pedro Carmona Ibáñez; Julián Martínez Vargas and José Pozuelo Campillo (2013). Diagnostico económico-financiero de la empresa cooperativa (un estudio comparado de los años 2004 y 2007). Revista de Estudios Cooperativos (revesco).
Carlos Lassala, Alexandre Momparler and Pedro Carmona (2013). Determinants of performance of independent financial advisors. International Entrepreneurship And Management Journal.