Data Analysis and Interpretation
Data Analysis and Interpretation is the ability to observe and dissect research data to derive meaningful insights. In the context of Research and Development, it involves selecting, manipulating and studying experimental data, as well as applying statistical models. This capability shapes the innovative outcomes, driving forward-focused decisions and underpinning robust, evidence-based strategies.
Level 1: Emerging
At a foundational level you are able to follow basic data collection and analysis steps with guidance, using standard tools and methods relevant to Research and Development. You accurately record findings, check simple patterns, and share results with your team. Your work supports evidence-based decisions by providing reliable data for others to interpret further.
Level 2: Proficient
At a developing level you are able to gather and organize research data using basic tools and methods. You begin to identify patterns and trends with guidance, applying straightforward analysis within standard research and development projects. Your work helps contribute to team insights, supporting informed decisions and building your analytical foundation.
Level 3: Advanced
At a proficient level you are able to independently analyze and interpret complex research data sets using established statistical methods. You select appropriate tools and approaches to draw reliable conclusions that inform R&D decisions. Your work ensures that projects are based on clear evidence, strengthening the quality and direction of innovation.
