Several sources of bias can plague research data and individual assessment. When cultural groups are considered, across or even within countries, it is essential that the constructs assessed and evaluated are as free as possible from any source of bias and specifically from bias caused due to culturally specific characteristics. Employing the Explanations of Unemployment Scale (revised form) for a sample of 1,894 employed and unemployed adults across eight countries (the United States, the United Kingdom, Turkey, Spain, Romania, Poland, Greece, and Brazil), we applied a method based on individual differences multidimensional scaling and principal component analysis to detect item bias in terms of culture and try to eliminate this bias variance from the overall item variance so as to (a) avoid jeopardizing validity levels and (b) arrive at clearer and more meaningful dimensions after adjusting the raw scores by removing the bias part. The results supported our statistical-psychometric intervention as the structure computed for the unadjusted data was enhanced and clarified when the data were adjusted for bias in terms of culture. Finally, implications for individual assessment procedures are discussed, and a method for evaluating the relative impact of bias in terms of culture on the raw assessment scores is also presented.