PMID- 21341916
OWN - NLM
STAT- MEDLINE
DCOM- 20111216
LR  - 20211020
IS  - 1939-1463 (Electronic)
IS  - 1082-989X (Print)
IS  - 1082-989X (Linking)
VI  - 16
IP  - 2
DP  - 2011 Jun
TI  - Quantified choice of root-mean-square errors of approximation for evaluation and 
      power analysis of small differences between structural equation models.
PG  - 116-26
LID - 10.1037/a0022657 [doi]
AB  - MacCallum, Browne, and Cai (2006) proposed a new framework for evaluation and 
      power analysis of small differences between nested structural equation models 
      (SEMs). In their framework, the null and alternative hypotheses for testing a 
      small difference in fit and its related power analyses were defined by some 
      chosen root-mean-square error of approximation (RMSEA) pairs. In this article, we 
      develop a new method that quantifies those chosen RMSEA pairs and allows a 
      quantitative comparison of them. Our method proposes the use of single RMSEA 
      values to replace the choice of RMSEA pairs for model comparison and power 
      analysis, thus avoiding the differential meaning of the chosen RMSEA pairs 
      inherent in the approach of MacCallum et al. (2006). With this choice, the 
      conventional cutoff values in model overall evaluation can directly be 
      transferred and applied to the evaluation and power analysis of model 
      differences.
CI  - (c) 2011 American Psychological Association
FAU - Li, Libo
AU  - Li L
AD  - UCLA Integrated Substance Abuse Programs, 1640 South Sepulveda Boulevard, uite 
      200, Los Angeles, CA 90025, USA. lilibo@ucla.edu
FAU - Bentler, Peter M
AU  - Bentler PM
LA  - eng
GR  - K05 DA000017/DA/NIDA NIH HHS/United States
GR  - P30 DA016383-01A1/DA/NIDA NIH HHS/United States
GR  - DA01070/DA/NIDA NIH HHS/United States
GR  - P30 DA016383/DA/NIDA NIH HHS/United States
GR  - DA00017/DA/NIDA NIH HHS/United States
GR  - K05 DA000017-17/DA/NIDA NIH HHS/United States
GR  - P01 DA001070-26/DA/NIDA NIH HHS/United States
GR  - R01 DA000017/DA/NIDA NIH HHS/United States
GR  - P01 DA001070/DA/NIDA NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PL  - United States
TA  - Psychol Methods
JT  - Psychological methods
JID - 9606928
SB  - IM
MH  - Humans
MH  - *Models, Psychological
MH  - *Models, Statistical
MH  - Psychology/*statistics & numerical data
MH  - Psychometrics/*statistics & numerical data
PMC - PMC3590920
MID - NIHMS271582
EDAT- 2011/02/24 06:00
MHDA- 2011/12/17 06:00
PMCR- 2013/03/07
CRDT- 2011/02/24 06:00
PHST- 2011/02/24 06:00 [entrez]
PHST- 2011/02/24 06:00 [pubmed]
PHST- 2011/12/17 06:00 [medline]
PHST- 2013/03/07 00:00 [pmc-release]
AID - 2011-03196-001 [pii]
AID - 10.1037/a0022657 [doi]
PST - ppublish
SO  - Psychol Methods. 2011 Jun;16(2):116-26. doi: 10.1037/a0022657.