Table 2.
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
---|---|---|---|---|---|
Race/ethnicity | |||||
Asian | 1.21** | 1.47*** | 1.06 | .93 | .83 |
Latinx | .58*** | .76*** | .87 | .90 | .88 |
Black | .52*** | .63*** | .76*** | .83* | .98 |
Student background | |||||
Male | .59*** | .70*** | .70*** | 1.02 | |
SES | 1.97*** | 1.35*** | 1.21*** | 1.11** | |
Age | 1.02*** | .98*** | 1.00 | .97*** | |
Two-parent HH | 1.18*** | 1.11* | 1.11 | .92 | |
Non-English HH | .86* | 1.01 | 1.03 | .86 | |
Academic performance | |||||
Prior reading score | 1.21*** | 1.26*** | 1.24*** | ||
Reading gains | 1.13*** | 1.11*** | |||
Prior reading score × reading gains | 1.00*** | 1.00*** | |||
Approaches to learning | 4.98 | ||||
Teacher/school characteristics | |||||
Black teacher | .84* | .81 | .82 | .92 | |
Latino teacher | 1.21* | 1.41** | 1.91*** | 1.97*** | |
Other race teacher | 1.00 | .98 | 1.16 | 1.26 | |
Graduate coursework | .92 | 1.02 | 1.06 | 1.05 | |
Master’s degree | .91 | .93 | .95 | .93 | |
Doctorate degree | .90 | .94 | .84 | .80 | |
Teacher’s age | 1.00* | 1.00 | 1.00 | 1.00 | |
% Asian | .99** | .99* | .99** | .99* | |
% Hispanic | 1.00*** | 1.01*** | 1.02*** | 1.01*** | |
% Black | 1.01*** | 1.01*** | 1.01*** | 1.01*** | |
% Low income | 1.00 | 1.00 | 1.00* | 1.00* | |
150–299 students | .91 | 1.08 | 1.06 | 1.09 | |
300–499 students | .79* | .84 | .79 | .83 | |
500–749 students | .78* | .82 | .83 | .85 | |
750 or more students | .82 | .82 | .86 | .92 | |
Suburb | .94 | .93 | .88 | .92 | |
Other locale | .97 | 1.12 | 1.19 | 1.21 | |
Public school | .99 | 1.50*** | 1.69*** | 1.51*** | |
Northeast | .90 | 1.16 | 1.31* | 1.15 | |
Midwest | .92 | 1.13 | 1.31* | 1.30* | |
West | .94 | .97 | 1.13 | 1.00 |
ECLS-K 98–99, N ≈ 12,610. Models include random intercepts at teacher level and school level. Reference categories include white (student race), white (teacher race), up to a bachelor’s (teacher’s education), < 150 students (school size), city (locale), and South (region)
p < .05
p < .01
p < .001