Table 4.
ELA CST (std) | Math CST (std) | ELA exit exam (std) | Math exit exam (std) | ELA grades (std) | Math grades (std) | |
---|---|---|---|---|---|---|
ID school | 0.34** (0.06) | 0.27 (0.22) | 0.25** (0.03) | 0.42** (0.08) | 0.01 (0.22) | 0.08 (0.07) |
2010 | 0.03 (0.02) | 0.08* (0.02) | 0.04* (0.01) | 0.02 (0.04) | −0.20** (0.06) | 0.02 (0.04) |
2011 | 0.01 (0.03) | 0.17** (0.04) | 0.12** (0.03) | 0.02 (0.05) | −0.16* (0.07) | 0.10 (0.09) |
2012 | 0.07* (0.02) | 0.21** (0.02) | 0.07** (0.03) | 0.10* (0.04) | −0.09 (0.07) | 0.15* (0.07) |
ID*2010 | 0.00 (0.02) | 0.08 (0.07) | 0.00 (0.04) | −0.16* (0.06) | 0.11 (0.06) | (0.12) −0.07 |
ID*2011 | 0.18** (0.03) | 0.31* (0.10) | 0.14** (0.03) | 0.01 (0.05) | 0.21** (0.07) | 0.01 (0.10) |
ID*2012 | 0.19** (0.03) | 0.33** (0.02) | 0.06 (0.03) | −0.09 (0.04) | 0.21** (0.07) | −0.02 (0.11) |
| ||||||
N | 19,567 | 18,763 | 19,504 | 19,466 | 19,686 | 19,722 |
NOTE: See Appendix Table 1.3 for full model results. ELA and Math grade analyses use tobit estimation to correct for floor effects, and all models use school-clustered standard errors to account for school clustering.
p<0.05;
p<0.01