Beyond scientific CHC index: Constructing additional index scores of Faxtor Cognitive Ability Test (FCAT)

The Faxtor Cognitive Ability Test (FCAT) is a CHC theory-based instrument in Indonesia, but its interpretive utility is limited by the few index scores available. This study examines the internal structure of additional index scores: the Nonverbal Index (NVI), General Ability Index (GAI), and Cognitive Proficiency Index (CPI). The study used data from 2,146 participants and applied Confirmatory Factor Analysis (CFA) to test how well these models fit. The results showed that both the NVI and GAI-CPI models fit well, providing strong evidence for the use of these new indexes. These findings improve the FCAT's ability to measure and interpret cognitive abilities more flexibly, especially for individuals with language difficulties or gaps in reasoning and processing speed. This study introduce three new indexes, offering a more detailed and dynamic profile of cognitive ability. However, this study has some limitations. Future studies could further explore the placement of NPR and VST subtests in the model by adding other relevant subtests. Expanding the sample to include a more diverse age group would also help strengthen the findings. Additionally, testing alternative models, such as bifactor or exploratory structural equation modeling, could provide a deeper understanding of the internal structure of the FCAT.