TY - JOUR
T1 - A note on normal theory power calculation in SEM with data missing completely at random
AU - Dolan, Conor
AU - Van Der Sluis, Sophie
AU - Grasman, Raoul
PY - 2005/5/23
Y1 - 2005/5/23
N2 - We consider power calculation in structural equation modeling with data missing completely at random (MCAR). Muthén and Muthén (2002) recently demonstrated how power calculations with data MCAR can be carried out by means of a Monte Carlo study. Here we show that the method of Satorra and Saris (1985), which is based on the nonnull distribution of the (normal theory) log-likelihood ratio test, can also be used. Compared to a Monte Carlo study, this method is computationally less intensive. We discuss 2 ways to calculate power when data are MCAR, one based on multigroup analysis and summary statistics, the other based on transformed raw data. The latter method is quite simple to carry out. Four examples are presented. This article is limited to data MCAR. Generally MCAR is a strong assumption. We demonstrate that results of power analyses based on the MCAR assumption are not informative if the data are actually missing at random.
AB - We consider power calculation in structural equation modeling with data missing completely at random (MCAR). Muthén and Muthén (2002) recently demonstrated how power calculations with data MCAR can be carried out by means of a Monte Carlo study. Here we show that the method of Satorra and Saris (1985), which is based on the nonnull distribution of the (normal theory) log-likelihood ratio test, can also be used. Compared to a Monte Carlo study, this method is computationally less intensive. We discuss 2 ways to calculate power when data are MCAR, one based on multigroup analysis and summary statistics, the other based on transformed raw data. The latter method is quite simple to carry out. Four examples are presented. This article is limited to data MCAR. Generally MCAR is a strong assumption. We demonstrate that results of power analyses based on the MCAR assumption are not informative if the data are actually missing at random.
UR - http://www.scopus.com/inward/record.url?scp=18444397785&partnerID=8YFLogxK
U2 - https://doi.org/10.1207/s15328007sem1202_4
DO - https://doi.org/10.1207/s15328007sem1202_4
M3 - Article
SN - 1070-5511
VL - 12
SP - 245
EP - 262
JO - Structural Equation Modeling
JF - Structural Equation Modeling
IS - 2
ER -