Skip to main content
. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: Cogn Behav Neurol. 2010 Sep;23(3):165–177. doi: 10.1097/WNN.0b013e3181c5dde3

TABLE 1.

Rotated Component Matrix Obtained With Principal Component Analysis of the Semiautomated Psycholinguistic Measurements on all 38 Picture Description Samples*

Variable Component
1 2 3 4

Length Hesitancy Empty Content Grammaticality
Pause-to-word ratio −0.148 0.803 0.132 −0.020
Fundamental frequency variance 0.042 −0.162 −0.075 0.798
POS perplexity −0.041 0.380 0.279 0.726
Word perplexity −0.407 0.529 0.024 0.213
Pronoun-to-noun ratio 0.108 −0.375 0.729 0.223
Word count 0.932 0.002 0.000 0.126
Speech duration (ms) 0.864 −0.063 −0.027 0.245
Mean prosodic Phrase length −0.498 −0.550 −0.013 0.006
Correct Information unit count 0.726 0.053 −0.390 −0.217
Long pause count −0.322 0.288 0.844 −0.135
Filled pause count 0.195 0.651 0.143 0.206
Pause count −0.182 0.426 0.830 −0.158
False start count 0.329 0.368 0.427 0.248
Pause-to-word ratio 0.181 0.403 −0.091 0.650

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

*

Rotation converged in 7 iterations.

Coefficients in bold represent the items used in subjective labeling of components with values exceeding 0.6.