Aging & Disease (A&D) is a peer reviewed, open access online journal that aspires to publish novel and high-impact findings on central issues pertaining to the biology of aging, pathophysiology of age-related diseases, and innovative therapies for diseases afflicting the elderly population. The diseases of interest include (but not limited to) Stroke, Alzheimer's disease, Parkinson’s disease, Epilepsy, Dementia, Depression, Cardiovascular Disease, Cancer, Arthritis, Cataract, Osteoporosis, Diabetes and Hypertension. Studies on animal models as well as human tissues or cells are welcomeThis summary is an extension of the peer-reviewed paper Adult Learning: Barriers and Enablers to Advancement in Canadian power Engineering [1] related to the dissertation: Factors Influencing Canadian Power Engineers’ Decision to Pursue Advanced Certification [1,2]. The peer-reviewed paper and dissertation comprised LOC (control loci) as one of the six IVs. Power engineering certification in Canada comprises a hierarchical, graduated system available to adults of all ages. The peer-reviewed paper [1] offered insight into the knowledge gap related to factors influencing Canadian power engineers ’ decision to pursue advanced certification with implications for adult learning. The dissertation research methodology was quantitative correlational design in which linear and logistic regressions employing a modified Bonferroni equivalent alpha were utilized [2]. Revealed in the results were positive, statistically significant relationships between the dependent variable (DV) of advancement intention and three of the six IVs. Time commitment, responsibility, and elapsed time exerted statistically significant effects on advancement intention (DV). The three remaining IVs that did not exhibit significant relationships with the DV were educational support, LOC, and peer appraisal. This indicated that the IVs of educational support, LOC, and peer appraisal did not significantly influence the DV when compared to the significant influences of time commitment, responsibility, and elapsed time on the DV. While the LOC (control loci) variable was not statistically significant, the power engineering research revealed the potential for LOC to influence myriad behavioural substrates