. Author manuscript; available in PMC: 2015 Oct 1.

Published in final edited form as: J Consult Clin Psychol. 2013 Nov 25;82(5):813–827. doi: 10.1037/a0034831

Table 1.

Comparison of unconditional models: Assessing sensitivity to the MAR assumption

	LCM		SPMM		Parameter Sensitivity

	Estimate	SE	Estimate	SE	% Change	CSK
Fixed Effects
Intercept	71.37^***	.37	71.60^***	.37	.32	−62.13
Slope (Time-Logged)	−7.81^***	.23	−8.33^***	.24	6.66	226.09

Variance Components
Intercept Variance	445.05^***	9.47	445.09^***	9.45	.01	−.42
Slope Variance	80.13^***	2.76	78.97^***	2.70	1.45	42.03
Covariance	−61.33^***	4.34	−61.10^***	4.31	.38	−5.30

^***

p<.001

Note. Residual variances not tabled. Values range from 74.80 at baseline to 155.66 at last time point for the LCM and from 76.27 at baseline to 155.47 at last time point for the SPMM. MAR: Missing at random; CSK: Collins-Schafer-Kam index of model sensitivity; LCM: Latent curve model; SPMM: Shared parameter mixture model.