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. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: Acad Med. 2015 Jan;90(1):69–75. doi: 10.1097/ACM.0000000000000442

Table 4.

Correlations Between Priority Scores and Words in LIWC Categories in Critiques of R01 Applications from Experienced Male and Female Investigators, from a Text Analysis Study of 454 Critiques, University of Wisconsin-Madison, Fiscal Year 2008–2009a

Variable 1 2 3 4 5 6 7 8
1 Priority scores -- −.417b .008 −.406b .290 b −.199c −.071 −.425b
2 Ability −.061 -- .073 .575b −.336b .072 −.041 .395b
3 Achievement −.070 .075 -- .161 −.005 .300b −.066 .078
4 Agentic −.089 .430b .293b -- −.130 .275b −.063 .386b
5 Negative .020 .052 .083 .074 -- −.087 .171 −.346b
6 Positive −.112 −.007 .204b −.014 −.003 -- .024 .176
7 Research .101 .076 .173b .167b −.013 .101 -- .022
8 Standout −.110 −.017 .030 .051 .330b −.119 −.038 --

Abbreviations: LIWC = Linguistic Inquiry Word Count text analysis software program.

a

Correlations between experienced female investigators’ scores and word categories in critiques are above the diagonal; experienced male investigators’ are shown below.

b

Correlation is significant, P < .01.

c

Correlation is significant, P < .05.