Table 3.
Multilevel Tobit modeling results for final kindergarten social competence models (Nchildren = 409, Nclassrooms = 35).
| 1 β (SE) |
2 β (SE) |
3 β (SE) |
4 β (SE) |
|
|---|---|---|---|---|
| Intercept | 36.14*** (8.87) |
40.21*** (8.51) |
26.22** (10.02) |
40.04*** (9.14) |
| Fall HS social competence | 0.27** (0.10) |
0.27** (0.10) |
0.29** (0.09) |
0.38*** (0.09) |
| Child-level fall HS BPI externalizing behaviors | ||||
| Child reference status | −0.47** (0.16) |
−0.47** (0.16) |
−0.42** (0.16) |
|
| Child above 75th percentile | −1.92 (1.70) |
|||
| Fall HS classroom composition of BPI externalizing behaviors | ||||
| Classroom mean | −0.06 (0.28) |
1.03* (0.49) |
||
| Standard deviation | −0.41 (0.38) |
−1.28* (0.60) |
||
| Skew | 2.94* (1.41) |
|||
| Proportion of students above 75th percentile | −1.52 (4.20) |
|||
| Model fit (−2LL) | −1541.2 | −1540.6 | −1537.9 | −1544.7 |
Notes: HS = Head Start; −2LL model fit statistics can be compared to one another to determine whether one model represents an improvement over another model.
The difference between the −2LL of two models being compared is considered a likelihood ratio. This likelihood ratio can be compared to a χ2 distribution with degrees of freedom equal to the difference in number of parameters in the models.
*
p < 0.05.
**
p < 0.01.
***
p < 0.001.