An article co-authored by Ayesha Delpish, instructor of mathematics, has been published in a 2006 issue of The Journal of Quantitative Analysis in Sports.
The article, titled “Hierarchical Linear Modeling of Individual Athlete Performance-Affect Relationships,” proposes and illustrates a general statistical modeling approach that is consistent with the existing theoretical models for individual performance-affect relationship. This approach allows the relation between individual performance and the corresponding affect to be non-linear, which implies that optimal levels of affect may exist that are associated with optimal/superior performance.
Delpish wrote the article with Dr. Richard Tate, professor of educational psychology at Florida State University.