dateduc: Student test scores and associated teachers for a single school in a large urban school district
Description
Response captures vertically linked mathematics and
reading scores on a norm-referenced standardized test
administered during the spring of the years 1998 to 2002
obtained from a large urban school district. Included
student are in grade 1 during the 1997 - 1998 school year
and followed successively until grade 5 for the 2001-2002
school year. These data focus on a single school of 227
students and 34 teachers. Teacher links to students did
not vary by subject. The data are configured to support
model runs using engine functions dpgrowmm and
ddpgrow.format
A list object for 562 total observations on 227 subjectsDetails
- y. Numeric vector of
N = 562student-year test scores. - subject. Numeric vector,
1, ..., n = 227, student identifiers - trt. A
numeric vector of
N0's to indicate there are not
separate treatment arms. - time. An {N x 1} numeric
vector of associated meaurement times in
1-5. - subj.aff. Same as
subjectas all students
receive the "school" treatement. - W.subj.aff. An
n = 227 x S = 34matrix object that links then = 227students to theS = 34teachers.
The rows sum to 1. This object is used in engine
functiondpgrowmm. - dosemat. An
n =
227 x S = 34numeric matrix where the first column is
1's for the intercept and the first teacher is left out
for identifiability. This matrix is the same asW.subj.affexcept that the first column is
replaced with an intercept. This object is use for
engine functionddpgrow. - tchr.aff. A
numeric vector with values
1,...,T=34encoding the
id's for the participating teachers. - labt. A
character input providing the label
"school"for
the treatment delivered to students
References
J.R. Lockwood, Daniel F. McCaffrey, Louis T. Mariano and
Claude Setodji (2007) Bayesian Methods for Scalable
Multivariate Value-Added Assessment, Journal of
Educational and Behavioral Statistics, 32(2), 125 - 150.
S. M. Paddock and T. D. Savitsky (2012) Bayesian
Hierarchical Semiparametric Modeling of Longitudinal
Post-treatment Outcomes from Open-enrollment Therapy
Groups, invited re-submission to: JRSS Series A
(Statistics in Society).