. 2020 Mar 17;11(1):1726672. doi: 10.1080/20008198.2020.1726672

Table A6.

Text characteristics and statistics.

Characteristic/Statistic	Definition/Function	Construct
N(words)	Total number of words used (word tokens)	Fragmentation
N(unique words)	Number of unique words used (word types)	Avoidance
Type:Token Ratio (TTR)	N(word types)/N(word tokens)	Avoidance, Cohesion
Words used once	Words that occur only once in the text	Avoidance, Complexity
N(characters)	Total per phase	Complexity
Mean N(characters) per word	Mean word length in characters	Dissociation, Complexity
N(complex words)	Words of > 6 characters	Complexity
N(syllables)	Total syllables per phase	Complexity
Mean N(syllables per word)	Mean word length in syllables	Complexity
Repetition	Number of immediate word repetitions	Organization, Fragmentation
N(unique bigrams)	Number of unique bigrams used	Organization, Fragmentation
Pronoun:Noun ratio (PNR)	N(pronouns)/N(nouns)	Cohesion
Subordinate:coordinate ratio	N(conjsubo)/N(conjcoord)	Complexity
Dutch Flesch-Douma G	207 − $\frac{0.93 * N (w o r d t o k e n s) / N (u t t e r a n c e s)}{77 * N (s y l l a b l e s) / N (w o r d t o k e n s)}$	Dissociation, Complexity
Honoré’s R	$\frac{100 l o g (N (w o r d t o k e n s))}{1 - (N (w o r d s u s e d o n c e) / N (w o r d t y p e s))}$	Avoidance, Complexity
Brunét’s index	$N {(w o r d t o k e n s)}^{N {(w o r d t y p e s)}^{- 0.165}}$	Avoidance, Complexity

Note. Extracted using Python’s TextStat package and LIWC.