TY - JOUR
T1 - Chasing change
T2 - Repeated-measures analysis of variance is so yesterday!
AU - Dijkers, Marcel P.
PY - 2013/3
Y1 - 2013/3
N2 - Change and growth are the bread and butter of rehabilitation research, but to date, most researchers have used less than optimal statistical methods to quantify change, its nature, speed, and form. Hierarchical linear modeling (HLM) (random/mixed effects or latent growth or multilevel modeling, individual/latent growth curve analysis) generally is superior to analysis of (co)variance and other methods, but has been underused in rehabilitation research. Apropos of the publication of 2 didactic articles setting forth the basics of HLM, this commentary sketches some of the advantages of this technique.
AB - Change and growth are the bread and butter of rehabilitation research, but to date, most researchers have used less than optimal statistical methods to quantify change, its nature, speed, and form. Hierarchical linear modeling (HLM) (random/mixed effects or latent growth or multilevel modeling, individual/latent growth curve analysis) generally is superior to analysis of (co)variance and other methods, but has been underused in rehabilitation research. Apropos of the publication of 2 didactic articles setting forth the basics of HLM, this commentary sketches some of the advantages of this technique.
KW - Analysis of variance
KW - Growth and development
KW - Multivariate analysis
KW - Rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=84875370819&partnerID=8YFLogxK
U2 - 10.1016/j.apmr.2012.11.018
DO - 10.1016/j.apmr.2012.11.018
M3 - Comment/debate
C2 - 23178418
AN - SCOPUS:84875370819
SN - 0003-9993
VL - 94
SP - 597
EP - 599
JO - Archives of Physical Medicine and Rehabilitation
JF - Archives of Physical Medicine and Rehabilitation
IS - 3
ER -