How to test reliability and validity in lavaan

[diya roy]

Hi All,

Can you kindly provide a right documentation to test  reliability and validity in lavaan pkg? The help will be much appreciated.

I am getting the following error for reliability

 lavaan::reliability(fit1)
Error: 'reliability' is not an exported object from 'namespace:lavaan'

[diya roy]

From Sarah's post I fixed the reliability issue ; But how to calculate discriminant validity and AVE values

> library(semTools)
 
###############################################################################
This is semTools 0.4-14
All users of R (or SEM) are invited to submit functions or ideas for functions.
###############################################################################
>  reliability(fit1)
              BE        BA       BAS        PQ         L       INF         C
alpha  0.8299210 0.8465757 0.9026134 0.9000699 0.8467476 0.7586469 0.8941912
omega  0.8346394 0.8547796 0.9169856 0.8987356 0.8509502 0.7803572 0.9009663
omega2 0.8346394 0.8547796 0.9169856 0.8987356 0.8509502 0.7803572 0.9009663
omega3 0.8606124 0.8545139 0.8991377 0.8681249 0.8256715 0.7517767 0.9007113
avevar 0.5592227 0.6023336 0.7032611 0.6908633 0.6606102 0.5593193 0.5759856
           total
alpha  0.9514748
omega  0.9697596
omega2 0.9697596
omega3 0.9436236
avevar 0.6298823

[diya roy]

Also how to calculate critical ratio directly in lavan for CFA or SEM?

[Terrence Jorgensen]

From Sarah's post I fixed the reliability issue ; But how to calculate discriminant validity and AVE values

AVE is in the bottom row of the semTools::reliability() output:

>  reliability(fit1)
              BE        BA       BAS        PQ         L       INF         C
alpha  0.8299210 0.8465757 0.9026134 0.9000699 0.8467476 0.7586469 0.8941912
omega  0.8346394 0.8547796 0.9169856 0.8987356 0.8509502 0.7803572 0.9009663
omega2 0.8346394 0.8547796 0.9169856 0.8987356 0.8509502 0.7803572 0.9009663
omega3 0.8606124 0.8545139 0.8991377 0.8681249 0.8256715 0.7517767 0.9007113
avevar 0.5592227 0.6023336 0.7032611 0.6908633 0.6606102 0.5593193 0.5759856

Discriminant validity is not a statistic, it is a concept.  The idea is that you want to make sure your construct is related to other constructs as you would expect (convergent validity; e.g., in the Big 5, Extraversion is positively correlated with Openness to Experience), but the constructs are not so correlated that they are redundant (divergent validity: the Extraversion--Openness correlation is small to moderate at best, so the items are not measuring the same construct).

Terrence D. Jorgensen

Postdoctoral Researcher, Methods and Statistics

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

UvA web page: http://www.uva.nl/profile/t.d.jorgensen

[diya roy]

Terrence,

Thanks a bunch. I was wondering if I can create the correlation and sqrt(AVE) matrix in one go. Anyways I have done it manually.

Thanks & regards,

Diya Guha Roy

PhD Research Scholar

IIT Kharagpur
in.linkedin.com/in/diyaroy

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