Table 3.

Fixed Effects Estimates from Hierarchical Linear Models

	Dependent Variables
	PA	NA	Work Time	Perceived Work Productivity	Sleep Duration (Lead)
Independent Variables	Estimate (SE)	Estimate (SE)	Estimate (SE)	Estimate (SE)	Estimate (SE)
Between Level
Intercept	.15** (.05)	.04 (.03)	.36 (.20)	−.13 (.07)	7.04*** (.18)
Within Level
Day	−.04** (.01)	−.01 (.01)	−.09 (.05)	.03 (.02)	−.05 (.04)
Sleep Duration	−.01 (.03)	−.01 (.02)	−.52** (.15)	.05 (.04)	−.21* (.10)
Sleep Quality	.09* (.04)	−.06 (.03)	−.22 (.16)	.05 (.06)	−.02 (.10)
Positive Affect	--	--	--	.27* (.11)	−.10 (.18)
Negative Affect	--	--	--	−.34* (.15)	−.24 (.21)
Work Time	--	--	--	.06** (.02)	−.02 (.04)
Perceived Work	--	--	--	--	−.21* (.09)
Productivity
Residual Variance	.20*** (.02)	.10*** (.02)	4.27*** (.49)	.62*** (.04)	2.47*** (.37)
Indirect Effects			Estimate	SE	95% CI
Sleep Duration→Positive Affect→Perceived Productivity			−.002	.01	[−.02, .01]
Sleep Duration→Negative Affect→ Perceived Productivity			.003	.01	[−.01, .02]
Sleep Duration→Work Time→ Perceived Productivity			−.03	.01	[−.06, −.003]

Note: Sleep Duration Lead = Sleep Duration measured t + 1.

^*p < .05,

^**p < .01,

^***p < .001.