Hostname: page-component-6766d58669-fx4k7 Total loading time: 0 Render date: 2026-05-20T10:14:05.199Z Has data issue: false hasContentIssue false

Peer Reviewing in Political Science: New Survey Results

Published online by Cambridge University Press:  02 April 2015

Paul A. Djupe*
Affiliation:
Denison University
Rights & Permissions [Opens in a new window]

Abstract

Charges are frequently leveled that the peer-review system is broken, and reviewers are overburdened with requests. But this specific charge has been made in the absence of data about the actual reviewing loads of political scientists. I report the results of a recent survey asking a random sample of about 600 APSA members with PhDs what their reviewing loads are like and what their beliefs are about the value of peer reviewing to them and others. Article reviewing loads correspond to rank, institution, and scholarly productivity in predictable ways. At PhD-granting institutions, assistant professors averaged 5.5, associate professors averaged 7.0, and full professors averaged 8.3 in the past year; everyone else averaged just under 3 reviews a year. To recognize the value we place on peer reviewing, we need a system that collects data on who reviews and presents them in a format usable by scholars and their relevant evaluation bodies.

Information

Type
The Profession
Copyright
Copyright © American Political Science Association 2015 
Figure 0

Figure 1 The Diversity of Engagement with Peer Reviewing in Political Science, by Rank (proportion checking each item)Source: 2013 Peer Review Survey, data weighted. “Have you served as a peer reviewer for a journal, press, university, or granting agency in the past year? Please check all that apply.”

Figure 1

Figure 2 Article Reviewing Across Rank and PhD Granting Status of the InstitutionSource: 2013 Peer Review Survey, data weighted.Note: The marker represents means and the capped lines represent one standard deviation in either direction. The Assistant, Associate, and Full differences in means by PhD granting status are significant at p<.01, while the Non-TT difference is significant at p<.1.

Figure 2

Table 1 Negative Binomial Regression Estimates of Article Reviewing

Figure 3

Figure 3 Predicted Review Counts Given the Number of Articles Published and PhD Granting Status of the Institution (estimates from Table 1); 95% confidence intervalsSource: 2013 Peer Review Survey.

Figure 4

Figure 4 Review Uptake Rate by Rank and PhD Granting Status of the InstitutionSource: 2013 Peer Review Survey, data weighted.Note: The black markers represent means and the capped lines represent one standard deviation in either direction. Only the differences in means by PhD granting status among assistants is significant at p<.06 – neither of the other within-rank difference in means is significant. Across rank, the assistant to associate drop is significant in non-PhD granting institutions and the associate to full drop is significant within PhD granting institutions; both assistant to full drops are significant (p<.01).

Figure 5

Table 2 OLS Estimates of the Review Uptake Rate

Figure 6

Figure 5 Beliefs about Peer ReviewingSource: 2013 Peer Review Survey, data weighted.

Supplementary material: File

Djupe supplementary material

Djupe supplementary material 1

Download Djupe supplementary material(File)
File 15.4 KB