Two teacher selection models have been developed that focus on selecting teachers for an urban school settings: the Star Teacher Selection Interview model developed by Martin Haberman and the Interactive Computer Interview SystemUrban created by Howard Ebmeier and Jennifer Ng. This study examined the correlation between the scores teachers receive on the two instruments and discusses the overlapping content of both interview instruments. A Pearson correlation was calculated between the rating the teacher received on the Star Teacher Selection Interview and the rating the teacher received on the Urban ICIS to determine whether there was a relationship between the two ratings on the teacher selection models. A statistically significant correlation ( r = .613) was found between teachers’ scores on the Star and ICISUrban. Additional correlations were completed to determine whether a teacher’s age and a teacher’s years of experience were related to how teachers scored on the Star and ICIS-Urban. A statistical significant relationship (r = .279) was found between teachers’ ICIS-Urban scores and teachers’ age. After correlations were completed a qualitative comparison between scores on both interview instruments was made between the questions on the Star and ICIS-Urban to find out how closely related the content was when using the Star and ICIS-Urban. Results indicated the Star and ICIS-Urban interviews have a positive correlation to one another due to the overlap of content and beliefs formed within both interview tools.