The number of test translations and adaptations has risen exponentially over the last two decades, and these processes are now becoming a common practice. The International Test Commission (ITC) Guidelines for Translating and Adapting Tests (Second Edition, 2017) offer principles and practices to ensure the quality of translated and adapted tests. However, they are not specific to the cognitive processes examined with clinical neuropsychological measures. The aim of this publication is to provide a specialized set of recommendations for guiding neuropsychological test translation and adaptation procedures.

The International Neuropsychological Society’s Cultural Neuropsychology Special Interest Group established a working group tasked with extending the ITC guidelines to offer specialized recommendations for translating/adapting neuropsychological tests. The neuropsychological application of the ITC guidelines was formulated by authors representing over ten nations, drawing upon literature concerning neuropsychological test translation, adaptation, and development, as well as their own expertise and consulting colleagues experienced in this field.

A summary of neuropsychological-specific commentary regarding the ITC test translation and adaptation guidelines is presented. Additionally, examples of applying these recommendations across a broad range of criteria are provided to aid test developers in attaining valid and reliable outcomes.

Establishing specific neuropsychological test translation and adaptation guidelines is critical to ensure that such processes produce reliable and valid psychometric measures. Given the rapid global growth experienced in neuropsychology over the last two decades, the recommendations may assist researchers and practitioners in carrying out such endeavors.

Appropriate adjustments to normative data for neuropsychological (NP) tests are imperative for their equitable use in brain health practices. Age and education are known to be strong predictors of test performance. In settings where validated tests are not available, common practice has been to adapt and apply them in similar fashion as settings where they were developed. However, demographic adjustments cannot be assumed de facto to be universal in their strength and domain associations. For example, South Africa (SA) and Zimbabwe are neighboring countries with some similarities in their demographic makeup, but with vastly different sociopolitical trajectories- Zimbabwe was colonially occupied until 1980 and SA was oppressed under Apartheid until 1994- which have impacted access to and quality of education by severely limiting educational opportunities for native citizens. The present study explored whether the direction and strength of relationships between age and education on NP test performance were similar or not between SA and Zimbabwe adults living with and without HIV.

Data was extracted from two IRB-approved studies in SA and Zimbabwe with similar inclusion and exclusion criteria. The SA sample (n=214) was comprised of 56% females, 48% HIV-positive adults, mean age of 34 years, and a nine-year range in education (3-14 years). The Zimbabwe sample (n=212) was comprised of 68% females, 67% HIV-positive adults, mean age of 36 years, and a thirteen-year range in education (7-20 years). Participants completed NeuroScreen, a tablet-based battery of 12 brief NP tests adapted for indigenous SA and Zimbabwe languages. The two study samples were analyzed separately. Zero order correlations between each of the tests and age and gender were conducted to determine the influence of the demographic variables. Relationships with moderate correlations (r>0.3) in both samples were further analyzed using univariate ANOVA to examine the main effects and interactions of age and education

Overall, there was a similar pattern of results across samples, with nine tests showing no-to-low associative relationships with age and education respectively. Moderate, significant relationships were found between age, education and three tests of processing speed (Visual Discrimination A, Visual discrimination B, and Number Speed) in both samples. Age and education had different effects on Visual discrimination A across samples with a significant main effect for age but not education in SA [F(40,83)=3.060, p<0.01], whilst Zimbabwe had a significant main effect for education but not age [F(10,87)=4.541, p<0.01]. Visual Discrimination B and Number Speed showed significant main effects for both variables in both samples. However, there was a significant interaction for both tests in Zimbabwe only.

The current study is novel in its exploration of country-specific relationships between NP test performance and demographic factors in settings where assessment science is emergent. Results demonstrate the presence of differential relationships between demographic variables on test performance which raises questions about the source of these differences. One important potential source is the socio-cultural context of each country and the intersection of demographic factors in these contexts. Further research is required to explore these considerations.