TABLE 5.

Overrepresentation^a of the characteristics of work-related internet uses in each cluster.

	Cluster 1	Cluster 2	Cluster 3	Cluster 4	Chi-square (df)
Workday	0.25–2 h	0.25–2 h	2.25–4.75 h	5–11 h	χ2 (6) = 123,828∗∗
Workday—At work	0–2 h	0–2 h	2.25–4 h	4.25–9.75 h	χ2 (6) = 58,671∗∗
Workday—At home	0 h	0.25–5 h	0 h	0.25–5 h	χ2 (3) = 189,935∗∗
Workday—In transports	0 h	nd	nd	0.25–3.5 h	χ2 (3) = 42,878∗∗
Day off	0 h	0.25–1.75 h	2–10 h	2–10 h	χ2 (6) = 707,883∗∗
Day off—At home	0 h	0.25–1 h	0.25–1 h	1.25–8 h	χ2 (6) = 508,962∗∗
Day off—In Transports	0 h	nd	nd	0.25–2 h	χ2 (3) = 36,989∗∗
Day of leave	0 h	0.25–0.75 h	0.25–0.75 h	1–8 h	χ2 (6) = 627,913∗∗
Day of leave—At home	0 h	0.25–1 h	0.25–1 h	1.25–6 h	χ2 (6) = 540,614∗∗
Day of leave—In transports	0 h	nd	nd	0.25–2 h	χ2 (3) = 33,649∗∗

^aAdjusted Residual >1.96;^∗p < 0.05; ^∗∗p < 0.01; nd, non-discriminant.