Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Correlated Random Effects Model for Nonignorable Missing Data in
  Value-Added Assessment of Teacher Effects   Value-added models have been widely used to assess the contributions of
individual teachers and schools to students' academic growth based on
longitudinal student achievement outcomes. There is concern, however, that
ignoring the presence of missing values, which are common in longitudinal
studies, can bias teachers' value-added scores. In this article, a flexible
correlated random effects model is developed that jointly models the student
responses and the student missing data indicators. Both the student responses
and the missing data mechanism depend on latent teacher effects as well as
latent student effects, and the correlation between the sets of random effects
adjusts teachers' value-added scores for informative missing data. The methods
are illustrated with data from calculus classes at a large public university
and with data from an elementary school district.

31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
1
The categories of this paper are: cs
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga