Skip to main content
. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Appl Neuropsychol Adult. 2020 Dec 30;29(5):1250–1257. doi: 10.1080/23279095.2020.1864733

Table 2.

Sample-wise Characteristics for Each Speech Feature.

Speech Index Intact MCI t (df = 86) p Cohen’s d
Total words 491.55 ± 233.54 348.23 ± 241.29 2.60 .01 0.60
Filler words 0.64 ± 0.61 0.73 ± 0.80 0.55 .58 0.13
Empty words 0.25 ± 0.16 0.18 ± 0.12 1.91 .06 0.49
Definite articles 1.63 ± 0.55 1.26 ± 0.64 2.78 .007 0.62
Indefinite articles 0.51 ± 0.17 0.47 ± 0.19 0.90 .37 0.22
Pronouns 2.54 ± 0.72 2.12 ± 0.77 2.47 .02 0.56
Nouns 4.43 ±1.11 3.51 ± 1.12 3.55 .001 0.83
Verbs 4.43 ± 1.14 3.81 ± 1.28 2.22 .03 0.51
Determiners 2.51 ± 0.73 1.98 ± 0.80 3.04 .003 0.69
Content Words 9.81 ± 2.49 8.06 ± 2.89 2.87 .005 0.64
Lexical Frequency 5.42 ± 0.33 5.62 ± 0.52 2.23 .03 0.46
Type-Token ratio 0.40 ± 0.07 0.44 ± 0.09 2.52 .01 0.50
Honoré’s statistic −6.10 ± 1.44 −7.86 ± 3.30 3.50 .001 0.69
Brunet’s index 13.40 ± 0.98 12.70 ± 1.36 2.74 .008 0.59
Speech rate 2.41 ± 0.34 2.31 ± 0.43 1.11 .27 0.26
Filler rate 0.07 ± 0.06 0.09 ± 0.08 1.23 .22 0.28

Note. Values show mean and standard deviation of each linguistic feature for each participant group, as well as the t-statistic, p-value, and Cohen’s d for the comparison between the two groups.