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Examine how race and gender together impact trajectories


Problem:

The present study is not without its limitations. First, Kuncel et al. (2001) and others have argued that individual samples are too restrictive. They purport that meta-analyses and large-scale studies are most appropriate in understanding the correlates of test scores with performance. However, an aim of the current study is to address local concerns that might not be addressed in such studies (e.g., correlates of performance in key courses), while contributing quality data for larger investigations, including meta-analyses, of the correlates of standardized test scores. Second, because our sample included only matriculated students, we have no information about how applicants with even lower GRE-Q scores would have fared in our doctoral program outcomes. Therefore, to the extent that the GRE-Q was a barrier to admission for applicants, our study is unable to examine the full impact for unadmitted students. Future studies can track unadmitted students to examine their access to and success in other doctoral programs. Though rare in the site department, we do not have information on if students retook any courses. Additionally, our dataset was limited to self-reported undergraduate GPA, without the verification of official transcripts. Finally, future studies should use an intersectional approach (Crenshaw, 1989, 1991) to examine how race and gender together impact trajectories, as we were underpowered to do so in the current study given the low numbers of URM groups. Rewrite. Need Assignment Help?

 

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