Table 4.
Multilevel Poisson modeling results for final kindergarten attention/impulsivity problems models (Nchildren = 409, Nclassrooms = 35).
| 1 β (SE) |
2 β (SE) |
3 β (SE) |
4 β (SE) |
|
|---|---|---|---|---|
| Intercept | −0.27 (0.75) |
−0.38 (0.75) |
−0.07 (0.90) |
−0.42 (0.77) |
| Child-level fall HS BPI externalizing behaviors | ||||
| Child reference status | 0.05*** (0.01) |
0.05*** (0.01) |
0.05*** (0.01) |
|
| Child above 75th percentile | 0.54*** (0.08) |
|||
| Fall HS classroom composition of BPI externalizing behaviors | ||||
| Classroom mean | 0.03 (0.03) |
−0.01 (0.05) |
||
| Standard deviation | 0.05 (0.04) |
0.05 (0.06) |
||
| Skew | −0.10 (0.14) |
|||
| Proportion of students above 75th percentile | −0.05 (0.39) |
|||
| Model fit (−2LL) | −1139.5 | −1137.2 | −1137.0 | −1155.1 |
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.