A technique for detecting item bias that is responsive to attitudinal measurement considerations is a maximum likelihood factor analysis procedure comparing multivariate factor structures across various subpopulations, often referred to as SIFASP. The SIFASP technique allows for factorial model comparisons in the testing of various hypotheses…

Efforts to study the fidelity of translation of attitudinal scales into foreign languages have faltered due to the lack of powerful statistical tests to assess such transformations. This study uses a maximum likelihood factor analysis procedure to compare multivariate factor structures across subpopulations. The results showed that inconsistent…