Table 3

Taxonomy of Fitted Multilevel Models for Change in Which Intern N2 Score is Modeled as a Function of Semester in Internship, Gender, and Verbal GRE Score (n of participants = 82; n of waves of longitudinal data = 3)

ParameterModel AModel BModel CModel D
Fixed Effects:      
InitialInterceptγ0041.20***37.61***41.20***34.55***
Status  (1.55)(3.38)(1.44)(2.99)
 FAMALEγ01 4.52 8.40*
    (3.80) (3.33)
 GREVγ02  0.06***0.06***
     (0.01)(0.02)
Rate ofInterceptγ101.34*0.591.34*1.76*
change  (0.58)(1.28)(0.69)(0.69)
 FEMALEγ11 0.94  
    (1.44)  
 GREVγ12  0.01~ 
     (0.01) 
Variance Components:      
Level-1:Within-personσ2ε39.15***39.05***39.16***39.05***
   (6.22)(6.22)(6.22)(6.20)
Level-2:In initial statusσ20164.91***161.53***138.09***128.71***
   (31.28)(30.75)(27.16)(25.74)
 In rate of changeσ217.44~7.39~7.18~7.52~
   (5.29)(5.26)(5.26)(5.29)
Goodness of fit:      
–2LL  1,804.21,801.61,792.21,786.8

Note: FEMALE = 1 for females and 0 for males. Verbal GRE score (GREV) is centered on its sample average. The model was estimated using full ML, SAS PROC MIXED.

~p <.1.

*p<.05.

**p<. 01.

***p<.001.

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