Harmonising the measurements used in research questionnaires can be a challenging task, and this is where a tool like Harmony comes into play by making the process much smoother and less subjective. As a comparative case, let’s look at two prominent questionnaires often used by psychologists and social scientists - the Center for Epidemiological Studies-Depression (CES-D) and the Social Functioning Questionnaire (SFQ). The CES-D focuses on symptoms associated with depression, while the SFQ investigates a person’s social functioning capacity. Comparing these two enriches the understanding of mental health from two key perspectives. Using Harmony, a CES-D vs SFQ comparison can be performed, wherein each item from these questionnaires can be matched with a percentage similarity - producing a harmonised dataset for research. The platform doesn’t require researchers to manually extract questions from the PDFs, making the CES-D vs SFQ assessment less cumbersome and more accurate. On top of that, the generative AI and natural language processing capabilities of Harmony make it possible to harmonise items across different languages—an essential feature in today’s global businesses and research projects. We encourage psychologists, social scientists, or anyone involved in similar research, to explore CES-D vs SFQ comparison using Harmony. This tool’s sophisticated AI models offer an easy solution for researchers to understand their subjects better and further their study by providing them with a comparative, multilingual, and harmonised dataset. Visit Harmony’s web interface at https://harmonydata.ac.uk/app and dive into the ease of harmonising research questionnaires like CES-D and SFQ.
