Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2011 Apr 6;6(4):e18262. doi: 10.1371/journal.pone.0018262

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Ni et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

PMC Copyright notice

Inline graphic — The embedded path graph was fitted by the cubic function in the form of . (A - E) Coefficients,,, and were compared between the two blocks and within each block. There are significant differences between valenced pictures and arousal pictures for the coefficients ,, and , where coefficients and were different in graded arousal levels, indicating a non-linear effect of arousal. (F) The embedded curves in each affective level of valence and arousal. Star marks significant differences (one star: p<0.01; two stars: p<0.01 and three stars: p<0.001; by ANOVA test). Here , and denote the 2^nd, 3^rd and 4^th eigenvector, respectively.

The embedded path graph was fitted by the cubic function in the form of . (A - E) Coefficients,,, and were compared between the two blocks and within each block. There are significant differences between valenced pictures and arousal pictures for the coefficients ,, and , where coefficients and were different in graded arousal levels, indicating a non-linear effect of arousal. (F) The embedded curves in each affective level of valence and arousal. Star marks significant differences (one star: p<0.01; two stars: p<0.01 and three stars: p<0.001; by ANOVA test). Here , and denote the 2^nd, 3^rd and 4^th eigenvector, respectively.