The Profile of Mood States (POMS) factor scores are commonly used to e
valuate the clinical pharmacologic effects of a drug. Two assumptions
made when using the POMS in this manner are that its factor structure
remains constant across time (factor stationarity) and that the factor
structure is identical across experimental groups (factor invariance)
. If these assumptions are not met, then interpreting change in POMS f
actor scores becomes problematic. Structural equation modeling program
s (e.g., LISREL) may be used to explicitly test assumptions of factor
stationarity and invariance. As part of a National Institute on Drug A
buse grant-funded, double-blind, placebo-controlled trial to assess ef
fectiveness of treating cocaine-abusing patients with fluoxetine, POMS
data were collected at baseline and at 6 weeks (n = 90). Applying a l
ongitudinal factor analysis strategy, factor stationarity and invarian
ce of two POMS factors were assessed in this patient sample.