Probit regression reported R square

[Nedim Yel]

Hi,

I am running a path model with both continuous and binary outcomes.

The following is my model where MS is a latent variable, PASS is a binary outcome and the remaining variables are continuous. 

I also pasted the R-Square values but I couldn't find any references regarding what type of pseudo R squared is reported in the lavaan output.

Does anyone know the type of pseudo-R square (https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-what-are-pseudo-r-squareds/) reported by lavaan?

Thank you in advance for your time

# Latent Variable

MS  =~ NA*MS1 + MS4 + MS5

MS  ~~ 1*MS

## Regressions

ANX  ~ MS

SE  ~ MS

XCTSR  ~ MS

PASS ~ ANX + SE + XCTSR + LSAT

PASS ~ MS

OUTPUT

R-Square:
                   Estimate
    MS1               0.279
    MS4               0.197
    MS5               0.244
    ANX               0.088
    SE                0.411
    XCTSR             0.350
    PASS              0.481

[Terrence Jorgensen]

Does anyone know the type of pseudo-R square (https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-what-are-pseudo-r-squareds/) reported by lavaan?

None, because lavaan is using probit regression, not logistic regression.  However, the same basic idea as McKelvey & Zavoina's is what lavaan reports.

Terrence D. Jorgensen

Assistant Professor, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam

http://www.uva.nl/profile/t.d.jorgensen

[Nedim Yel]

I appreciate the response.

Thank you