TABLE 4.

Joint music-making behavior before and during lockdown: online real-time methods.

4a.	Playing occurrence
	Yes	No
Before	11 (5%)	221 (95%)
During	40 (17%)	194 (83%)
	Playing frequency
	>Once a week	Once a week	Once every 2 weeks	Once a month	<Once a month
Before	0 (0%)	1 (<1%)	0 (0%)	4 (2%)	6 (3%)
During	9 (4%)	14 (6%)	6 (3%)	5 (2%)	6 (3%)
4b.	Interaction effects of playing occurrence and frequency during lockdown
		Playing occurrence		Playing frequency
Variables		Using Wilcoxon (W)		Using Kruskal-Wallis (H)
Household type		3711.5 (p = 0.654)		4.708 (p = 0.319)
Employment situation		3272.5 (p = 0.097)		2.425 (p = 0.489)
Music as main income		4090 (p = 0.432)		7.498 (p = 0.006)*
				Using Spearman (rs)
Technical difficulty		3894 (p = 0.930)		0.179 (p = 0.268)
Technical competence		4095 (p = 0.575)		−0.001 (p = 0.993)
Social competence		4103.5 (p = 0.558)		−0.051 (p = 0.755)

(4a) Playing occurrence indicates whether respondents played music with others using online real-time methods (Yes) or not (No) before and during lockdown. Playing frequency indicates how often respondents played. (4b) Summarized results of Wilcoxon rank sum and Kruskal-Wallis tests on variables with possible influence on musical behavior are provided, as well as results of Spearman correlation tests on experienced technical difficulty, self-assessed technical and social competence (*significant effect).