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The literature provides conclusive evidence of a positive relationship between student SES and academic performance in school. Extensive national and international educational research has studied the underlying processes that configure this relationship. Calculating a sound SES measure is a critical step in these studies. This paper shows step by step a procedure to calculate and validate a family SES measure using data from Progress in International Reading Literacy Study (PIRLS) 2006. Variables characterizing parental education, parental occupations, home possessions, and financial status are reduced into a single SES measure using Principal Components Analysis (PCA). The conceptual definition of SES, its reliability and cross-cultural validity are discussed, offering recommendations for further research and survey developers. The presented procedure can be generally applied to national and international large-scale assessment studies. Its illustration is the main contribution of this paper.
Daniel H. Caro, IEA Data Processing and Research Center
Diego Cortés, IEA Data Processing and Research Center