Category: Placement data
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A few weeks ago I posted some details about a new project: Academic Placement Data and Analysis (APDA) here. Readers may be interested in some updates to that project. Note: We are sending out emails to program representatives over the next few hours with much of this information, including an extended collection goal date of July…
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Academic Placement Data and Analysis (APDA) is a new, collaborative research project on placement into academic jobs in philosophy. The current project members include myself, Patrice Cobb (psychology, UC Merced), Angelo Kyrilov (computer science, UC Merced), David Vinson (cognitive science, UC Merced), and Justin Vlasits (philosophy, UC Berkeley). This project is borne out of earlier…
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When I first looked at placement statistics at the Philosophy Smoker I performed some analyses that I shouldn't have. First, I performed too many analyses. Second, I used the wrong kinds of analyses for some of the data. I did not imagine that these statistics would take off as they did and I was overworked*,…
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I have read in several places this description of my placement post and my response to Brian Leiter's criticisms of that post (most recently, in comments posted yesterday at Philosophical Comment): "July 1: I posted a sharp critique of some utterly misleading rankings produced by Carolyn Jennings, a tenure-stream faculty member at UC Merced. She quickly started revising it…
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by Carolyn Dicey Jennings Over the past three years I have collected and reported on placement data for positions in academic philosophy. (Interested readers can find past posts here at New APPS under the "placement data" category, two of which have been updated with the new data, several posts at ProPhilosophy, or the very first post on placement…
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A few days ago I posted a list of features that I take to be essential to an ideal report on placement, seeking comments and suggestions. One of the features I mention there is recency. All departments are likely to place more candidates given more time, but this slope is steeper for certain departments. Moreover, placement…
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I applaud Brian Leiter's efforts to examine placement data in the past few days *Update 6/13/14: I have removed these links because I think that Brian Leiter's posts have the potential to mislead students. See my new post here*, as well as the efforts of David Marshall Miller and Andy Carson over the past few years.…
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As promised, here is the link to the data set I have been using in the placement posts. Most of you will probably be most interested in the "Department Trends" tab. If you find that data should be added, please email me with the following information, preferably in order and separated by commas OR add…
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As discussed here in the comments, one of the advantages of comparative data on placement is that they help fill in gaps left over by the PGR. That is, the PGR aims to measure the collective reputation of a department’s faculty, but faculty reputation does not necessarily predict the likelihood of placement by that department, perhaps…
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As discussed in the comments at a previous post, I have been looking at department-specific placement rates. "Placement rate" is the number of reported placements*** divided by the number of graduates. I looked at reported placements between 2011 and 2014 and graduates between 2009 and 2013. I do not have data on many departments that…
New APPS 