The purpose of the current study was to assess local residents' psychological support prior to hosting a mega-sporting event and to report preliminary results as to which factors of support affect local residents' attitudes toward hosting future mega-sporting events, using the case of the 2012 Super Bowl in Indianapolis. This study provides a theoretical model to examine local residents' psychological support factors using structural equation modeling, which helps the understanding of local residents in the process of supporting the hosting of mega-sporting events in the future. The results of this study indicate that the perceptions of positive outcomes from the event have the strongest relationship to feelings toward hosting future events. Therefore, governing bodies of the host community and the event should rely most heavily on the positive outcomes. While the negative factors were not as strongly related, they were still significant indicators of feelings toward future events. The part of the plans pertaining to growing community support should include ways that the negative impacts might be mitigated.

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The purpose of this study was to evaluate the performance of newly hired coaches in relation to their predecessors, and utilize the analysis to provide guidance to decision makers in college athletic departments. This study examined 185 coaching changes in Division I women's basketball in 16 conferences between 2000 and 2009. Data were collected from online sources including institutional websites, media guides, and media articles. Latent class analysis was employed to reduce the data to one item per factor. Factors included demographics, coaching ability, coaching experience, past team performance, hiring factors (coaching level change, inside/outside hire, interim, conference affiliation), and institutional factors (public/private, demographic market area, enrollment, budget, and NACDA standings). Mixed models analysis was performed to identify which categories have a relationship with changes in the number of wins following a coaching change. Results suggest that past team performance was the strongest indicator of future performance after a coaching change.