TY - JOUR
T1 - RealVAMS
T2 - An R package for fitting a multivariate value-added model (VAM)
AU - Broatch, Jennifer
AU - Green, Jennifer
AU - Karl, Andrew
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation under Grant # DRL-1336027 and # DRL-1336265. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The authors would like to thank the Associate Editor for comments that led to an improved version of this manuscript.
Publisher Copyright:
© The R Foundation.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - We present RealVAMS, an R package for fitting a generalized linear mixed model to multimembership data with partially crossed and partially nested random effects. RealVAMS utilizes a multivariate generalized linear mixed model with pseudo-likelihood approximation for fitting normally distributed continuous response(s) jointly with a binary outcome. In an educational context, the model is referred to as a multidimensional value-added model, which extends previous theory to estimate the relationships between potential teacher contributions toward different student outcomes and to allow the consideration of a binary, real-world outcome such as graduation. The simultaneous joint modeling of continuous and binary outcomes was not available prior to RealVAMS due to computational difficulties. In this paper, we discuss the multidimensional model, describe RealVAMS, and demonstrate the use of this package and its modeling options with an educational data set.
AB - We present RealVAMS, an R package for fitting a generalized linear mixed model to multimembership data with partially crossed and partially nested random effects. RealVAMS utilizes a multivariate generalized linear mixed model with pseudo-likelihood approximation for fitting normally distributed continuous response(s) jointly with a binary outcome. In an educational context, the model is referred to as a multidimensional value-added model, which extends previous theory to estimate the relationships between potential teacher contributions toward different student outcomes and to allow the consideration of a binary, real-world outcome such as graduation. The simultaneous joint modeling of continuous and binary outcomes was not available prior to RealVAMS due to computational difficulties. In this paper, we discuss the multidimensional model, describe RealVAMS, and demonstrate the use of this package and its modeling options with an educational data set.
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U2 - 10.32614/rj-2018-033
DO - 10.32614/rj-2018-033
M3 - Article
AN - SCOPUS:85053928965
SN - 2073-4859
VL - 10
SP - 22
EP - 30
JO - R Journal
JF - R Journal
IS - 1
ER -