When conducting research and comparing data from different psychological questionnaires, one often encounters the challenge of harmonisation. This is the need to match the items from several scales like the Drinking to Cope (DTC) and the Rutgers Alcohol Problem Index (RAPI). For a direct comparison, the items in DTC vs RAPI must align correctly in terms of content and context, which can be a time-consuming and subjective task.
Harmony, a software developed specifically for psychologists, simplifies the harmonisation process by utilising cutting-edge natural language processing and generative AI models. The software is capable of analysing content from different sources and detecting similarities or correlations. By evaluating the items in the DTC vs RAPI through Harmony, researchers can extract a percentage match between each item in these scales, enhancing the reliability and efficiency of their findings.
In using the Harmony software, researchers have the option to work with a variety of instruments available within the built-in database or simply drag and drop their own collection in PDF format. This 21st-century innovation enables you to compare items in DTC vs RAPI and even facilitates harmonisation across multiple languages. This is particularly beneficial when carrying out vital cross-cultural studies. Gain significant time savings and consistency with your DTC vs RAPI match by using Harmony for efficient questionnaire harmonisation.
