Table 5

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

ParameterModel AModel BModel CModel D
Fixed Effects:      
InitialInterceptγ0028.81***31.31***28.82***33.98***
Status  (1.57)(3.41)(1.55)(3.16)
 FAMALEγ01 -3.16 –6.15~
    (3.83) (3.49)
 GREQγ02  –0.02*-0.03*
     (0.01)(0.01)
Rate ofInterceptγ101.79*3.19*1.76*1.76*
change  (0.69)(1.52)(0.69)(0.69)
 FEMALEγ11 -1.76  
    (1.71)  
 GREQγ12  0.01~0.01~
     (0.01)(0.01)
Variance Components:      
Level-1:Within-personσ2ε75.84***75.36***74.43***74.43***
   (8.51)(8.45)(8.34)(8.34)
Level-2:In initial statusσ20138.37***134.52***134.55***128.06***
   (25.80)(25.18)(25.10)(24.09)
Goodness of fit:      
–2LL  1,878.61,875.61,873.51,870.1

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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