Table 2 Characteristics of clusters. For instrument and dyad pairing, we performed a Fisher’s exact test.

From: Musical interaction is influenced by underlying predictive models and musical expertise

 

Characteristics of clusters

Cluster 1

Cluster 2

Cluster 3

Statistical value

Instrument

D/P = 5

H/M = 1

D/P = 0

H/M = 4

D/P = 8

H/M = 4

p = 0.033

Dyad pairing

D/P + D/P = 2

D/P + H/M = 1

H/M + H/M = 0

D/P + D/P = 0

D/P + H/M = 0

H/M + H/M = 2

D/P + D/P = 2

D/P + H/M = 4

H/M + H/M = 0

p = 0.048

Experience

12.62 (SD = 2.43)

14.31 (SD = 3.1)

13.13 (SD = 5.8)

F(2,19) = 0.155 p = 0.857

SI

0.911

(IQR = 0.676, 0.966)

0.9579

(IQR = 0.934, 0.979)

0.96

(IQR = 0.937, 0.973)

F(2,8) = 1.17 p = 0.358

SDasy

12.6 ms, SD = 14.4

4.1 ms, SD = 2.9

4.8 ms, SD = 7.2

F(2,8) = 2.715 p = 0.126

  1. For experience, SI and SDasy, a one-way ANOVA were performed. We report the median and interquartile range for data that was not normally distributed, and mean and standard deviation for normally distributed data.