Communality Performance Assessment of Electricity Load Management Model for Namibia

This paper, "Communality performance assessment of electricity load management model for Namibia", presents a good analysis of the interval of communality. While there is only a minimum, which strengthens the author's claim of obtaining the optimal performance assessment criterion for the electricity load management model developed. Out of the 300 administered questionnaires, 127 were yielded for statistical analyses. The separate communalities obtained closely mirrored the predictors, whenever they were closer to unity. Using Borel's strong law of large numbers for analyses, it was shown that sample sizes larger than 127, produced errors, which exceeded 0.1 only once for every five runs of the process. Therefore, communality analyses provide elegant lower-bound solutions that belong to a class of nonsmooth optimisation algorithms useful for obtaining high quality exploratory and confirmatory decoupled multivariate analyses, as shown in this study.