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The purpose of this convergent parallel mixed methods paper is to explore the mentoring experience within the context of a science, technology, engineering and math (STEM) specific mentoring program for urban, at risk, high school youth, using the Principles of Adult Mentoring Inventory (PAMI) as an instrument that modeled effective mentoring behavior. The study took place at a large, urban, Midwestern university in the USA.

A research design was developed and both quantitative and qualitative data were collected in parallel, analyzed separately and then merged to determine results. The PAMI instrument that measures six constructs of mentor effectiveness was administered to STEM mentors as a pre/post-test and enabled researchers to collect quantitative data. Researchers used focus groups to collect qualitative data in the form of transcribed interviews. This study sought to inform STEM mentoring program development by collecting both qualitative and quantitative data independently and simultaneously in order to confirm findings. Researchers used a convergent parallel mixed methods design to first, reinforce and corroborate the findings given the small sample size (n=8); second, minimize alternative interpretations from data gathering and analysis, third, make clear various factors contributing to the effectiveness of STEM mentoring.

Throughout the mentoring experience, mentor perceptions of their mentoring abilities increased to be in the “more highly effective” range within PAMI. In five of the six constructs the results indicated mentors scored lower on the pre-test than they did on the post-test of the PAMI, meaning mentor perceptions of mentoring abilities improved overall during the course and the mentoring experience. Common themes from both quantitative and qualitative results were developed, are discussed using the PAMI constructs as organizers, and include communication, information, and gender differences.

This study added to the dearth of literature and investigations surrounding STEM mentoring. Many studies have concentrated primarily on mentoring but few have investigated the concept of STEM mentoring program best practices. The results of this study provided a multidimensional look at STEM mentoring programs that impact urban, at risk, high school youth.