Psychologists and social scientists often struggle with the concept of harmonisation, a process in which they have to match items in various questionnaires to gain a meaningful analysis. One such instance is when attempting to correlate questionnaires like CES-D (The Center for Epidemiological Studies-Depression), a measure for caregivers’ depressive symptoms, with the CFNS (Child Food Neophobia Scale), which gauges children’s reactions and attitudes towards new food. Navigating through the complexities of such comparison, i.e., CES-D vs CFNS, could be overwhelming and time-consuming. This is where Harmony comes into play. Harmony is an advanced software designed to ease the process of harmonisation for researchers. Leveraging natural language processing capabilities and generative AI models, Harmony can match and compare similar items in different questionnaires, even across various languages. When looking for a correlation in studies like CES-D vs CFNS, Harmony can be remarkably useful. The tool uses large language models to compare instruments and can provide a percentage match between each questionnaire item in CES-D and CFNS. Such functionality makes Harmony an invaluable tool for psychologists interested in comparing CES-D vs CFNS or similar questionnaires. To utilize Harmony, all you need to do is select your instruments from Harmony’s robust database or drag and drop your PDFs via the web interface. By automating the process of item harmonisation, Harmony not only simplifies your comparison tasks, such as CES-D vs CFNS, but will also allow you to dedicate your focus to driving more profound insights from your respective studies.
