The authors outline a structured framework for developing high-quality measurement tools, covering item generation, content validation, scale construction, and psychometric evaluation. They emphasise the importance of grounding scales in theory, incorporating input from target populations, and using rigorous statistical methods to assess reliability and validity. The paper highlights common challenges in scale development and offers clear recommendations for best practice at each stage of the process. Overall, it serves as a detailed methodological resource for researchers developing or adapting measurement instruments.