Using principal component analysis (PCA) to obtain auxiliary variables for missing data estimation in large data sets

W J Howard, M Rhemtulla, Todd Little

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	285-299
Journal	Multivariate Behavioral Research
DOIs	https://doi.org/10.1080/00273171.2014.999267
State	Published - 2015

Access to Document

@article{95a31802574b4c36ac1fa09b99a6dcd5,

title = "Using principal component analysis (PCA) to obtain auxiliary variables for missing data estimation in large data sets",

author = "Howard, {W J} and M Rhemtulla and Todd Little",

year = "2015",

doi = "10.1080/00273171.2014.999267",

language = "English",

pages = "285--299",

journal = "Multivariate Behavioral Research",

}

TY - JOUR

T1 - Using principal component analysis (PCA) to obtain auxiliary variables for missing data estimation in large data sets

AU - Howard, W J

AU - Rhemtulla, M

AU - Little, Todd

PY - 2015

Y1 - 2015

U2 - 10.1080/00273171.2014.999267

DO - 10.1080/00273171.2014.999267

M3 - Article

SP - 285

EP - 299

JO - Multivariate Behavioral Research

JF - Multivariate Behavioral Research

ER -