Table 3.

Prediction of Initial Status and Rate of Change in Rate of Correct E-Mails

	Model A		Model B		Model C		Model D		Model E		Model F		Model G

Variable	Estimate	t	Estimate	t	Estimate	t	Estimate	t	Estimate	t	Estimate	t	Estimate	t
Fixed effects
Initial status
Intercept	2.655	30.4^***	2.355	26.2^***	2.355	20.9^***	2.355	23.3^***	2.355	29.3^***	2.355	32.5^***	2.355	28.3^***
Prior experience							0.367	3.6^***	0.183	2.1^*	0.122	1.5
Crystallized intelligence									0.180	1.9	0.204	2.4^*	0.173	1.8
Fluid intelligence									0.377	3.7^***	0.314	3.4^**	0.456	4.7^***
Age											−0.037	−3.5^***
Rate of change
Average			0.200	14.4^***	0.200	10.1^***	0.200	10.9^***	0.200	12.2^***	0.200	12.7^***	0.200	12.0^***
Prior experience							-0.055	−3.0^**	−0.031	−1.7	−0.022	−1.3
Crystallized intelligence									−0.029	−1.5	−0.032	−1.8	−0.028	−1.5
Fluid intelligence									−0.049	−2.4^*	−0.040	−2.0^*	−0.062	−3.2^**
Age											0.005	2.2^*
Variance components				Wald Z		Wald Z		Wald Z		Wald Z		Wald Z		Wald Z
Level 1 residual variance	0.117		0.050	8.8^***	0.025	7.2^***	0.025	7.2^***	0.025	7.2^***	0.025	7.2^***	0.025	7.2^***
Level 2 variances
Initial status	0.367		0.383	4.9^***	0.642	4.9^***	0.516	4.8^***	0.319	4.6^***	0.254	4.5^***	0.342	4.7^***
Rate of change					0.015	3.7^***	0.012	3.5^***	0.009	3.0^**	0.008	2.9^**	0.009	3.1^**
Pseudo R-square statistics
R²_yy			0.105		0.105		0.282		0.558		0.646		0.523
R²₀							0.196		0.503				0.468
R²₁							0.182		0.414				0.379

Notes: R²_yy is the proportion of the variance in the dependent variable explained by the model; R²₀ is the proportion of the between person variation in initial status explained by the model; R²₁ is the proportion of the between person variable in rate of change explained by the model.

p ≤ .05;

^**

p ≤ .01;

^***

p ≤ .001.