In the original research aricle, there was an error. In the appendix (section 8 in the originally submitted article), we forgot to include part of the R-code in which a data set is defined for the sem-function from the package lavaan [1]. Furthermore, we would like to change the ordering of some of the R-code. The appendix is uploaded as “Presentation 1.pdf” on the Frontiers website, and not as “Section 8” in the original article.
A correction has been made to the Appendix Section 8.4, SEM methods, first paragraph:
SEM can be applied to the data by use of the function sem from the package lavaan [1]. This R-function allows both the theta- and delta-parametrization (see Section 3.2) but since these are practically equivalent, we only focussed on the latter. As the delta-parameterization and the DWLS estimator with robust standard errors are executed by default, we do not need to specify any additional options for this function. Note that the data is now in wide format, with the following model-specification for a within-cluster predictor in clusters of size two:
Data <- data.frame(y0 = y0, y1 = y1, x1 = x1, x0 = x0)
model <- ‘ int= 1*y0+1*y1
y0~a1*x0; y0|a0*t1; y0 ~~ v1*y0
y1~a1*x1; y1|a0*t1; y1 ~~ v1*y1 ’
fit <- sem(model,ordered=c("y0","y1"),data=Data)
summary(fit)
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1.
RosseelY. lavaan: An R package for structural equation modeling. J Stat Softw. (2012) 48:1–36. 10.18637/jss.v048.i02
Summary
Keywords
categorical data analysis, multilevel modeling, mixed models, structural equation modeling, monte carlo studies
Citation
Josephy H, Loeys T and Rosseel Y (2017) Corrigendum: A Review of R-packages for Random-Intercept Probit Regression in Small Clusters. Front. Appl. Math. Stat. 3:8. doi: 10.3389/fams.2017.00008
Received
25 April 2017
Accepted
04 May 2017
Published
16 May 2017
Volume
3 - 2017
Edited and reviewed by
Mike W.-L. Cheung, National University of Singapore, Singapore
Updates
Copyright
© 2017 Josephy, Loeys and Rosseel.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Haeike Josephy haeike.josephy@ugent.be
This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Applied Mathematics and Statistics
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