KIM (Key Indicator Matrix) and RAM (Risk Assessment Matrix) Matrices Integration Into One Platform

This technical research note will integrate the Key Indicator Matrix (KIM) and the Risk Assessment Matrix (RAM) into one platform to clearly demonstrate their statistical modeling overlap.  Key Indicators deal with the ability to predict overall compliance or performance based on existing data.  Risk Assessment Indicators do not predict but determine a risk score based upon prevalence and severity measures.  Their purposes are different but when integrated together the two matrices are a powerful tool in determining the health of the measured entity.   

The below matrix integrates the two matrices of KIM and RAM and shows that KIM scores are generally at the lower end of risk but having sufficient prevalence when it comes to non-compliance.  RAM scores have a larger variance and are most concerning at the higher end of the continuum. 

KIM x RAM Matrices 

KIM Low Group High Group  Severity: 
Compliance 1 2 Low 
Non-Compliance 4 5 Medium 
 High 
Prevalence: Low Medium High RAM 
For additional information about this matrix, please don’t hesitate to contact Dr Fiene at Fiene@psu.edu or RFiene@RIKInstitute.com

About Dr Fiene

Dr. Rick Fiene has spent his professional career in improving the quality of child care in various states, nationally, and internationally. He has done extensive research and publishing on the key components in improving child care quality through an early childhood program quality indicator model of training, technical assistance, quality rating & improvement systems, professional development, mentoring, licensing, risk assessment, differential program monitoring, and accreditation. Dr. Fiene is a retired professor of human development & psychology (Penn State University) where he was department head and director of the Capital Area Early Childhood Research and Training Institute.
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