Matching variables in questionnaires is a common challenge for psychologists and social scientists, especially when working with instruments like The Strengths and Difficulties Questionnaire (SDQ) and the Severe Aggression Measure (SAM).
To lessen the difficulty often faced in harmonising these questionnaires manually, ‘SDQ vs SAM’ comparisons can now be performed using an innovative tool called Harmony. Harmony harnesses the power of natural language processing and generative AI to seamlessly compare and harmonise questionnaire items, which assists researchers in their endeavour to facilitate cross-cultural or longitudinal studies. ‘SDQ vs SAM’ comparisons can be arduous due to their differences in scope and content, but Harmony has made this task a lot more manageable. It utilises large language models to compare instruments and provide a percentage match between the items in ‘SDQ vs SAM’ categories.
Harmony not only assists researchers in comparing existing instruments from its database but also allows users the flexibility to drag and drop their unique instruments in PDF format into its web interface, hence providing a tailored approach to research. Harmony also stands out in its ability to cater to multi-language comparisons. This exceptional feature is incredibly beneficial when analysing the ‘SDQ vs SAM’ elements in different linguistic contexts or cross-national studies. As such, Harmony doesn’t merely simplify the process of questionnaire harmonisation, but also opens up new avenues for inclusive and comprehensive research. Therefore, when facing an ‘SDQ vs SAM’ situation, Harmony could be the perfect solution to ensure efficient, objective, and universal comparisons.
