Workshop on Simple and Multiple Correspondence Analysis
The department of Social Sciences and Institute for Migration Studies organized a three-day workshop from October 9-11 on Simple and Multiple Correspondence Analysis.
Combining both lectures and laboratory exercises, this 20-hour course introduced faculty and students to the fundamental properties, procedures and rules of interpretation of the most commonly used forms of correspondence analysis, i.e. simple correspondence analysis (CA), multiple correspondence analysis (MCA) and cluster analysis.
In the social sciences, MCA is a statistical technique that first and foremost has become known through the work of the late Pierre Bourdieu (1930-2002), in particular “Distinction” (Bourdieu 1984), “Homo Academicus” (Bourdieu 1988) and “The State Nobility” (Bourdieu 1996).
As a counterpart to principal component analysis (PCA), a geometric technique for the analysis of metric variables, MCA is a geometric technique for the analysis of categorical or categorized variables.
Dr. Jennifer Skulte-Ouaiss, a political scientist and faculty member in the department, found the workshop “very well organized and clear. Dr. Hjellbrekke is clearly a leader in the field as well as an excellent teacher of research methods. An excellent workshop. I’m already thinking how I can use MCA on my current research on threat construction and terrorism policies in the United States”.
Several students commented on the benefits of gaining new research techniques which they could apply to their current academic and work needs.