Media articles often communicate the latest scientific findings, and readers must evaluate the evidence and consider its potential implications. Prior work has found that the inclusion of graphs makes messages about scientific data more persuasive (Tal & Wansink, 2016). One explanation for this finding is that such visualizations evoke the…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

Preschoolers, as a group, are highly attuned to causality, and this attunement is known to facilitate memory, learning, and problem solving. However, recent work reveals substantial individual variability in the strength of children's "causal stance," as demonstrated by their curiosity about and preference for new causal information. In…

This paper examines the cost effectiveness of educating boarding and day secondary students in Kisumu district in Kenya. The research designs used in this study were descriptive survey and casual comparative designs. The population consisted of five head teachers, 140 form four teachers and 609 form four students. Saturated and systematic random…

Production-function analysis, a correlation-based analysis, has been used for years to evaluate whether resources deposited into the educational process yielded a definitive result. For example, it has been used in several state cases as a measure of equity in educational funding. This paper is of the opinion that correlation-based analyses are…

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)