Latent Growth Curve Model Selection: The Potential of Individual Case Residuals
An individual case residual procedure for model comparison in longitudinal studies is discussed, which can be used as an aid to overall goodness-of-fit indexes in the process of choosing between rival models as means of data description. The method is based on estimates of subject-specific residuals...
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| Published in | Structural equation modeling Vol. 21; no. 1; pp. 20 - 30 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Hove
Routledge
02.01.2014
Psychology Press |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1070-5511 1532-8007 1532-8007 |
| DOI | 10.1080/10705511.2014.856693 |
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| Abstract | An individual case residual procedure for model comparison in longitudinal studies is discussed, which can be used as an aid to overall goodness-of-fit indexes in the process of choosing between rival models as means of data description. The method is based on estimates of subject-specific residuals associated with each repeated measure. The approach facilitates assessment of local fit of considered models and can be especially useful with large samples. The outlined procedure is similarly helpful in the general case for fit assessment of competing structural equation models. The method is readily applicable using the popular software Mplus and R, and is illustrated with a simulated data example as well as with empirical data from a large-scale study of older adults. |
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| AbstractList | An individual case residual procedure for model comparison in longitudinal studies is discussed, which can be used as an aid to overall goodness-of-fit indexes in the process of choosing between rival models as means of data description. The method is based on estimates of subject-specific residuals associated with each repeated measure. The approach facilitates assessment of local fit of considered models and can be especially useful with large samples. The outlined procedure is similarly helpful in the general case for fit assessment of competing structural equation models. The method is readily applicable using the popular software Mplus and R, and is illustrated with a simulated data example as well as with empirical data from a large-scale study of older adults. [PUBLICATION ABSTRACT] An individual case residual procedure for model comparison in longitudinal studies is discussed, which can be used as an aid to overall goodness-of-fit indexes in the process of choosing between rival models as means of data description. The method is based on estimates of subject-specific residuals associated with each repeated measure. The approach facilitates assessment of local fit of considered models and can be especially useful with large samples. The outlined procedure is similarly helpful in the general case for fit assessment of competing structural equation models. The method is readily applicable using the popular software Mplus and R, and is illustrated with a simulated data example as well as with empirical data from a large-scale study of older adults. |
| Author | Raykov, Tenko Penev, Spiridon |
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| Cites_doi | 10.4324/9780203809532 10.2307/270937 10.1016/j.leaqua.2005.03.001 10.1080/10705519909540135 10.1037/0033-2909.116.2.363 10.1201/9781420080674 10.1207/s15328007sem1301_1 10.1207/S15328007SEM0904_8 10.1080/10705511.2012.713265 |
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| References | Raykov T. (CIT0015) 2006 Muthén L. K. (CIT0011) 2012 Johnson W. (CIT0008) 2002 Browne M. W. (CIT0004) 1993 CIT0010 CIT0020 CIT0001 Venables W. N. (CIT0021) 2012 CIT0022 Raykov T. (CIT0016) 2008 Raykov T. (CIT0017) 2012 Cohen P. (CIT0006) 2002 Rabe-Hesketh S. (CIT0012) 2008 Raykov T. (CIT0018) 2001 CIT0014 CIT0002 Bollen K. A. (CIT0003) 2006 CIT0005 Jöreskog K. G. (CIT0009) 1996 Raudenbush S. (CIT0013) 2002 CIT0007 Raykov T. (CIT0019) 2002 |
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| Title | Latent Growth Curve Model Selection: The Potential of Individual Case Residuals |
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