National Enterprise Scale Readiness Map

National Scale Enterprise Readiness Scale Methodology

The evaluative aspect of this work was carried out in three phases. Phase 1 included identification of institutions that met criteria in line with our objectives, as well as recruitment of individual participants from said sample of institutions to interview and engage in focus groups. Phase 2 involved coding transcriptions from interviews and focus groups using two rounds of coding: general thematic coding and coding by question. These codes were then assessed for meta-codes (parent codes). Concepts were extracted and then defined using participant excerpts. A rubric for evaluating National Scale Enterprise Readiness emerged from meta-themes which guided the Performance Attributes, and the transcription content defined the Performance Descriptors and Dimensions of Performance. Four rounds of recruitment yielded a 21% response rate to engage in interviews and focus groups which totaled 10 Minority Serving Institutions (MSIs) who contributed to development of the rubric. The final phase included work by The Decision Platform (TDP) has developed several families of algorithms that work together to help answer holistic questions in a piece-wise fashion. This family of algorithms, organized with a modular approach will work to identify and streamline root cause analyses and areas of opportunity for improvement. Essentially, TDP has created several ‘sub’-algorithmic scores that are able to be combined to holistically address the broader question. TDP Generated each of these algorithms by using R and Python, combining multivariate linear, logistic, and Poisson regression models with bayesian and other probability concepts. Mathematical simulation methods were used more than 100,000 times with each of these algorithms to produce validation metrics. The final ranking emerged.