PMID- 24066712
OWN - NLM
STAT- MEDLINE
DCOM- 20141223
LR  - 20211021
IS  - 1532-7752 (Electronic)
IS  - 0022-3891 (Print)
IS  - 0022-3891 (Linking)
VI  - 96
IP  - 3
DP  - 2014
TI  - Predicting response to intensive multimodal inpatient treatment: a comparison of 
      single- and multiple-class growth modeling approaches.
PG  - 306-15
LID - 10.1080/00223891.2013.834439 [doi]
AB  - In a modest body of research, personality functioning assessed via 
      performance-based instruments has been found to validly predict treatment outcome 
      and, to some extent, differential response to treatment. However, 
      state-of-the-science longitudinal and mixture modeling techniques, which are 
      common in many areas of clinical psychology, have rarely been used. In this 
      article, we compare multilevel growth curve modeling (MLM) and latent class 
      growth modeling (LCGM) approaches with the same data set to illustrate the 
      different research questions that can be addressed by each method. Global 
      Assessment of Functioning (GAF) scores collected at 6 points during the course of 
      a long-term multimodal inpatient treatment of 58 severely and persistently 
      mentally ill adults were used to model the trajectory of treatment outcome. 
      Pretreatment Rorschach-based markers of personality functioning and other markers 
      of psychiatric severity were examined as covariates in each modeling approach. 
      The results of both modeling approaches generally indicated that more 
      psychologically impaired clients responded less favorably to treatment. The LCGM 
      approach revealed 2 unique trajectories of improvement (a persistently low group 
      and a higher starting, improving group). Personality functioning and baseline 
      psychiatric variables significantly predicted group membership and the rate of 
      change within the groups. A side-by-side examination of these 2 methods was found 
      to be useful in predicting differential treatment response with personality 
      functioning variables.
FAU - Smith, Justin D
AU  - Smith JD
AD  - a Child and Family Center , University of Oregon.
FAU - Van Ryzin, Mark J
AU  - Van Ryzin MJ
FAU - Fowler, J Christopher
AU  - Fowler JC
FAU - Handler, Leonard
AU  - Handler L
LA  - eng
GR  - T32 MH020012/MH/NIMH NIH HHS/United States
GR  - T32 MH20012/MH/NIMH NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20130925
PL  - England
TA  - J Pers Assess
JT  - Journal of personality assessment
JID - 1260201
SB  - IM
MH  - Adult
MH  - Female
MH  - Follow-Up Studies
MH  - Humans
MH  - Inpatients/statistics & numerical data
MH  - Male
MH  - *Mental Disorders/classification/diagnosis/therapy
MH  - *Models, Statistical
MH  - Psychiatric Status Rating Scales/statistics & numerical data
MH  - Psychotherapy/methods
MH  - Severity of Illness Index
MH  - *Treatment Outcome
PMC - PMC3965655
MID - NIHMS525056
EDAT- 2013/09/27 06:00
MHDA- 2014/12/24 06:00
PMCR- 2014/04/09
CRDT- 2013/09/27 06:00
PHST- 2013/09/27 06:00 [entrez]
PHST- 2013/09/27 06:00 [pubmed]
PHST- 2014/12/24 06:00 [medline]
PHST- 2014/04/09 00:00 [pmc-release]
AID - 10.1080/00223891.2013.834439 [doi]
PST - ppublish
SO  - J Pers Assess. 2014;96(3):306-15. doi: 10.1080/00223891.2013.834439. Epub 2013 
      Sep 25.