Home

Menu

Loading wiki pages...

View
Wiki Version:
<p>As part of an invited blog I wrote for Nature Human Behavior on the academic job market, I decided to look at the CVs of assistant professors in psychology from top-ranked research universities (R1s) and small liberal art colleges (SLACs) in the US to get a sense for things like the following:</p> <ul> <li>how many publications did new assistant professors have when they started their job?</li> <li>how much teaching experience did new assistant professors have when they started their job?</li> <li>where were these new hires coming from? (e.g., straight from graduate school, after a postdoc, from another faculty position)</li> </ul> <p>R1s were chosen based on their graduate psychology program being ranked in the top-10 by U.S. News & World Report. SLACs were chosen based on the college being ranked in the top-10 by U.S. News & World Report, though I added a few extra similar reputable colleges to increase my sample size for this group. Every assistant professor listed on the institution’s psychology department website was included (including visiting assistant professors who are more prominent at SLACs), though adjuncts or clinical positions were excluded. As I recorded all information manually, via CVs or online profiles (e.g., university website, LinkedIn, Google Scholar), it is possible there are occasional coding errors and there was missing data for some faculty. Since I did not have access to the job applications of these now-professors, all stats (e.g., papers) are up to and including the year the person began their position. While this may produce slight overestimates, I suspect that applicants would have included work that is “submitted” or “under review” or “in press” (on their CVs/research statements and in job talks) and that hiring committees would have considered such work in their decision. To be conservative, publications listed in my blog post do not include conference proceedings (i.e., only journal articles, chapters, or encyclopedic entries (which were rare) counted).</p> <p><strong>NOTE:</strong> all information was publicly available and stats pulled from people's CVs were manually coded. If errors are noticed, please let me know (diego.reinero@nyu.edu) and I will be sure to update the record.</p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.