Sentences with phrase «student covariates»

The movement becomes more pronounced as the correlations decrease, both as we compare the value - added model with student covariates to SGP models and within - school models, and as we make the same comparisons in reading.
Strikingly, about 6 percent of teachers who are placed in the top quintile in reading by the value - added model with student covariates are placed in the bottom quintile by the value - added model that makes within - school comparisons, and vice versa.
Each panel compares the rating of teachers using a value - added model with prior test scores and student covariates to placements from another model: (1) a value - added model that includes only a prior test score (Panels A and D); (2) the SGP model (Panels B and E); and (3) a value - added model that makes within - school comparisons (Panels C and F).
As we have seen, the evidence demonstrates that teachers who teach in advantaged classrooms benefit from models that do not control for student covariates like race and poverty, but policymakers may be reluctant to employ models that do control for these factors.

Not exact matches

Differences in aggregation, covariates, and samples generate different answers to the question of whether black students are over - or under - identified for special education.
While selection bias is still a concern, it is worthwhile noting that the authors control for a very rich set of covariates including student demographics, parental income, parental education, student AFQT score, freshman year GPA, state of birth and various school characteristics.
We tested a baseline model with no covariates (i.e., only the five policy attributes and no other predictors), and then a full model, which included novice teacher and percentage of high - achieving students, low - achieving students, students with IEPs, and percentage of ELL students.
While our data are fairly limited, and the results relatively imprecise, we find preliminary evidence that covariate choice matters, and that method choice matters, but perhaps only when comparing to a broader sample that includes students who did not apply to the program.
To account for these differences, students» scores on the CAT pretest were used as covariates in all analyses.
An analysis of the covariance on students» spring fluency scores across grades 2 - 6, using fall fluency scores as the covariate, revealed a significant effect for school: F (2, 344) = 4.68, p =.01.
An analysis of the covariance on students» spring writing scores across grades 2 - 6, using fall writing scores as the covariate, revealed a significant effect for school: F (2, 293) = 5.44, p =.005; and significant school by year - in - study interaction: F (2, 293) = 3.90, p =.02.
An analysis of covariance on students» spring comprehension scores across grades 2 - 6, with fall scores used as the covariate, revealed a significant effect for the school: F (2,336) = 10.18, p <.001; a significant effect for year in study (Year 1 or Year 2): F (1,336) = 4.18, p =.04; and a significant school by year - in - study interaction: F (2,336) = 10.30, p <.001.
Covariate measurement error correction for student growth percentiles using the simex method.
Analysis of covariance was used to determine treatment effects on students» knowledge of fractions when the pretest result was used as a covariate.
[42] Of models that control for prior achievement, the high correlations between those that do and do not explicitly account for student characteristics might suggest that debates over covariate adjustments are misplaced.
It should be noted, however, that whether the use of students» pretest scores and other covariates can account or control for such inter - and intra-classroom variations is still being debated and remains highly uncertain (Ballou, Sanders, & Wright, 2004; Capitol Hill Briefing, 2011; Koedel & Betts, 2010; Kupermintz, 2003; McCaffrey, Lockwood, Koretz, Louis, & Hamilton, 2004; J. Rothstein, 2009; Tekwe et al., 2004).
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