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Table 2 Characteristics of participant speech by sex (means, standard deviations, and ranges)

From: Friend matters: sex differences in social language during autism diagnostic interviews

 

Females

Males

Effects

Participant speech behavior

Part A

 Social word frequency per 1000 words

127.04 (24.8)

59–161

110.59 (24.3)

59–171

p < .001**

est: − .13

 Friend word frequency per 1000 words

7.72 (4.92)

2–23

6.13 (3.81)

0–15

p = .01*

est: − .22

 Family word frequency per 1000 words

8.88 (5.84)

0–26

8.32 (5.61)

0–28

p = .18

est: − .11

Part B

 Total length of conversation (min)

21.86 (4.24)

14.3–38.7

21.64 (6.67)

10.8–52.3

p = .97

est: − .05

 Total time speaking (min)

7.66 (3.29)

2.9–15.4

6.96 (3.59)

0.8–19.3

p = .15

est: − .87

 Word count

1218.72 (545.97)

318–2420

1024.68 (544.47)

132–3091

p = .11

est: − 150.9

 Characters per word

3.83 (0.11)

3.6–4.1

3.77 (0.15)

3.4–4.1

p = .18

est: < .001

 Type-token ratio

0.40 (0.08)

.30–.63

0.37 (0.07)

.24–.60

p = .05

est: < .001

  1. Effect sizes for GLM are reported as unstandardized effects (estimates [94]). The final GLM model [glm(variable ~ age.z + IQ.z + sex, data = lang.par, family = ‘poisson’)] accounts for age (centered), IQ (centered), and examines sex as primary predictor variable. Part A includes the primary variables of interest. Part B includes additional variables used to characterize the language sample. Effect of sex is significant p < .01