TY - JOUR
T1 - Standard errors of estimated latent variable scores with estimated structural parameters
AU - Hoshino, Takahiro
AU - Shigemasu, Kazuo
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008/3
Y1 - 2008/3
N2 - The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte Carlo methods. The proposed method is valid when both the number of items and the number of subjects are large. However, simulation results suggest that the proposed method provides valid estimates for standard errors of latent abilities even when the numbers of items and subjects are not large.
AB - The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte Carlo methods. The proposed method is valid when both the number of items and the number of subjects are large. However, simulation results suggest that the proposed method provides valid estimates for standard errors of latent abilities even when the numbers of items and subjects are not large.
KW - Factor analysis
KW - Item response theory
KW - Pseudo-maximum likelihood estimation
KW - Structural equation modeling
KW - True score
UR - http://www.scopus.com/inward/record.url?scp=38849124955&partnerID=8YFLogxK
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U2 - 10.1177/0146621607301652
DO - 10.1177/0146621607301652
M3 - Article
AN - SCOPUS:38849124955
SN - 0146-6216
VL - 32
SP - 181
EP - 189
JO - Applied Psychological Measurement
JF - Applied Psychological Measurement
IS - 2
ER -