. Author manuscript; available in PMC: 2013 Nov 25.

Published in final edited form as: Educ Eval Policy Anal. 2011 Mar 1;33(1):10.3102/0162373710392371. doi: 10.3102/0162373710392371

TABLE 4.

FIML Variance Components and Model Fit Estimates for Two-Level Growth Curve Models of Intention “to Pursue a Science-Related Research Career”

Variance components	M1: Null	M2: + Time. Linear	M3: + Time. Quadratic	M4: + Match status	M5: + Propensity score	M7: + Research experience
Within-Person (σ²)	3.23	2.54	2.51	2.54	2.52	2.55
Intercept (τ₀₀)	2.47 (.26)^***	1.66 (.23)^***	1.68 (.23)^***	1.63 (.22)^***	1.51 (.21)^***	1.48 (.21)^***
Linear (τ₁₁)		0.32 (.06)^***	0.32 (.06)^***	0.28 (.05)^***	0.29 (.05)^***	0.26 (.05)^***
Model Fit
−2LL	5,263.06	5,141.83	5,136.31	5,121.14	5,104.19	5,093.03
AIC	5,269.06	5,151.83	5,148.31	5,137.14	5,122.19	5,113.03
Parameters	3	4	6	8	9	10

Note. −2LL = deviance statistic; AIC = Akaike’s information criterion; parameters = number of parameters estimated in the model; values in parentheses are standard errors for the Wald test of statistical significance; M6: + Scientific Mentorship is not shown because it exhibited a nonsignificant effect on the outcome.

^***

p < .001.