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This article investigates methodological problems of measuring family wealth among secondary school students with home possessions indicators. It employs multiple correspondence analysis MCA in order to explore 1 the dimensionality of home possessions items, 2 the nature of relationship between these items, and 3 the substantive meaning of the first and other relevant dimensions. It also employs regression analysis in order to study potential explanatory factors of the second dimension of the MCA solutions that may be related to measurement problems of the instrument.
Two sources of data are used: 1 open access data from the National Survey of Student Achievement NSSA in Lithuania that provide a series of national educational studies conducted from to , and 2 data from the Programme for International Student Assessment PISA study conducted in Lithuania in that is used to corroborate findings produced using the first data source.
However, there is at least one more important dimension, and it reveals multi-dimensional nature of the measurement instrument. Analysis of potential explanatory factors of the second dimension of the MCA solutions revealed that reading abilities and school-related affect is related to this dimension.
Thus, the second dimension of MCA solutions might also reflect methodological problems related to the measurement of home possessions in adolescent surveys. Socioeconomic status SES is one of the most important characteristics of individuals that may predetermine their health, subjective well-being, career development, as well as academic achievement, among many other things Diemer et al.