Literature DB >> 25813468

Random Model Discrepancy: Interpretations and Technicalities (A Rejoinder).

Hao Wu1, Michael W Browne.   

Abstract

In this rejoinder we discuss the following aspects of our approach to model discrepancy: the interpretations of the two populations and adventitious error, the choice of inverse Wishart distribution, the perceived danger of justifying a model with bad fit, the relationship among our new approach, Chen's (J R Stat Soc Ser B, 41:235-248, 1979) approach and the existing RMSEA-based approach, and the Pitman drift assumption.

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Year:  2015        PMID: 25813468     DOI: 10.1007/s11336-015-9456-y

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  5 in total

1.  Noncentral Chi-Square Versus Normal Distributions in Describing the Likelihood Ratio Statistic: The Univariate Case and Its Multivariate Implication.

Authors:  Ke-Hai Yuan
Journal:  Multivariate Behav Res       Date:  2008 Jan-Mar       Impact factor: 5.923

2.  Normal Versus Noncentral Chi-square Asymptotics of Misspecified Models.

Authors:  So Yeon Chun; Alexander Shapiro
Journal:  Multivariate Behav Res       Date:  2009-11-30       Impact factor: 5.923

3.  A Comment on a Paper by H. Wu and M. W. Browne (2014).

Authors:  Albert Satorra
Journal:  Psychometrika       Date:  2015-03-27       Impact factor: 2.500

4.  Comments on "Quantifying Adventitious Error in a Covariance Structure as a Random Effect" by Hao Wu and Michael Browne.

Authors:  A Shapiro
Journal:  Psychometrika       Date:  2015-03-27       Impact factor: 2.500

5.  Quantifying Adventitious Error in a Covariance Structure as a Random Effect.

Authors:  Hao Wu; Michael W Browne
Journal:  Psychometrika       Date:  2015-03-27       Impact factor: 2.500

  5 in total

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