Table 3.

Linear stepwise multilevel models of salivary alpha-amylase with the moderating role of household chaos.

	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
Fixed effects	b (se), 95% CI
Intercept	1.98 (0.18) 1.63–2.33*	2.22 (0.25) 1.73–2.71*	2.22 (0.25) 1.73–2.71*	2.23 (0.25) 1.74–2.72*	2.16 (0.25) 1.66–2.65*	2.16 (0.25) 1.66–2.65*
Time		−0.04 (0.00) -.05 to −.02*	−0.04 (0.0) −0.05 to −0.02*	0.01 (0.01) −0.02 to −0.02*	0.01 (0.01) −0.05 – -0.02*	−0.03 (0.01) −0.06 to −0.01*
Condition					0.03 (0.01) 0.001–0.05*1	0.03 (0.03) −0.04–0.10
Time*condition						0.00 (0.02) −0.03–0.03
Covariates
Baseline score	0.62 (0.04) 0.55–0.68*	0.60 (0.04) 0.53–0.67*	0.60 (0.04) 0.53–0.67*	0.60 (0.04) 0.53–0.67	0.61 (0.04) 0.54–0.68*	−0.10 (0.06) −0.21–0.02
Age		0.00 (0.00) −0.01–0.02	0.00 (0.01) −0.01–0.02	0.00 (0.01) −0.01–0.02	0.00 (0.01) −0.01–0.02	0.00 (0.02) −0.01–0.02
Education		−0.06 (0.04) −0.13–0.01	−0.06 (0.04) −0.13–0.11	−0.06 (0.04) −0.13–0.01	−0.06 (0.04) −0.13–0.01	−0.06 (0.04) −0.13–0.01
Gingivitis/periodontitis		−0.06 (0.03) −0.12–0.01	−0.06 (0.03) −0.04–0.04	−0.06 (0.03) −0.12–0.01	−0.06 (0.03) −0.12–0.01	−0.06 (0.03) −0.12–0.01
Drink past ½ hour		0.00 (0.02) −0.04–0.04	0.00 (0.02) −0.04–0.04	0.00 (0.02) −0.04–0.04	0.00 (0.02) −0.04–0.04	0.00 (0.02) −0.04–0.04
Variance components	Coef. (se)
Variance residuals intercept ${\mathrm{\sigma }}_0^2$	0.13 (0.00)	0.13 (0.00)	0.13 (0.00)	0.14 (0.00)	0.13 (0.00)	0.31 (0.00)
Variance residuals within-person ${\mathrm{\sigma }}_e^2$	0.15 (0.00)	0.15 (0.00)	0.15 (0.00)	0.15 (0.00)	0.15 (0.00)	0.15 (0.00)
Correlation intercept slope ρ_01			0.00 (0.00)	−0.66 (0.75)
Variance residuals slope ${\mathrm{\sigma }}_1^2$				0.00 (0.00)	0.00 (0.00)	0.00 (0.00)
	F(df), p
Comparison to previous model	N. A.	5.10 (5)***		0.17 (1)	4.17 (1)*2	0.03(1)

Note. Dependent variables are listed under model description. Condition coded 0 = neutral, 1 = chaos. *p < 0.05 ** p < 0.01 *** p < .001.

¹ To show that this CI did not include zero, the value is rounded off an extra decimal point.

² Model 5 is compared to Model 3, since Model 4 did not improve significantly compared to Model 3. Empty fields = not applicable. Model 3 and 5 are not nested and thus cannot be statistically compared.