title: Text mining a self-report back-translation.
abstract: There are several recommendations about the routine to undertake when back translating self-report instruments in cross-cultural research. However, text mining methods have been generally ignored within this field. This work describes a text mining innovative application useful to adapt a personality questionnaire to 12 different languages. The method is divided in 3 different stages, a descriptive analysis of the available back-translated instrument versions, a dissimilarity assessment between the source language instrument and the 12 back-translations, and an item assessment of item meaning equivalence. The suggested method contributes to improve the back-translation process of self-report instruments for cross-cultural research in 2 significant intertwined ways. First, it defines a systematic approach to the back translation issue, allowing for a more orderly and informed evaluation concerning the equivalence of different versions of the same instrument in different languages. Second, it provides more accurate instrument back-translations, which has direct implications for the reliability and validity of the instrument's test scores when used in different cultures/languages. In addition, this procedure can be extended to the back-translation of self-reports measuring psychological constructs in clinical assessment. Future research works could refine the suggested methodology and use additional available text mining tools. (PsycINFO Database Record
authors: Department of Pedagogy and Psychology, University of Lleida.
authors: Angel
authors: A
authors: Blanch
authors: Department of Pedagogy and Psychology, University of Lleida.
authors: Anton
authors: A
authors: Aluja
mesh_terms: D003431:Cross-Cultural Comparison; D057225:Data Mining / Q000379:methods*; D006801:Humans; D010556:Personality Tests / Q000592:standards*; D011594:Psychometrics / Q000379:methods*; D015203:Reproducibility of Results; D057566:Self Report / Q000592:standards*; D014177:Translations