How to fid Invariant items/ Reference Indicator (RI) in Lavaan

[sg]

I need some help in finding reference indicator items for multi group CFA for factorial Invariance.

I need to find  invariant items to be chosen as reference indicators instead of Lavaan choosing first item.

If anyone please can provide me with R codes, that will save my life. 

Thank you! 

[Terrence Jorgensen]

I need some help in finding reference indicator items for multi group CFA for factorial Invariance.

Why don't you just fix the factor variance instead (std.lv = TRUE), and free all but one variance when constraining (at least 2) loadings across groups?  That way, you don't have to pick any arbitrary indicator as a reference.

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

[Saima Ghazal]

Thank you Terrence, 

You are so helpful, I wonder how you manage so many questions.

I really need some help, I have already spent one whole week, but still cant get out of it.

I have developed a numeracy test, and have collected national data on it.

I want to show that test Is invariant across gender, age and ethnicity.

I am running this code 

model2= '
BNTS=~ five_sided_correct+ choir_correct+ six_sided_correct+ mushroom_correct +  coinflip_correct+ acme_correct+ bigbucks_correct'
White=subset(N,Race==1)
Black = subset (N, Race>1)

Overallmodel.fit.W = cfa(model2, data = White, meanstructure = T)
summary(Overallmodel.fit.W, rsquare= T, standardized=TRUE, fit.measure= TRUE)

Overallmodel.fit.B = cfa(model2, data = Black, meanstructure = T)
summary(Overallmodel.fit.B, rsquare= T, standardized=TRUE, fit.measure= TRUE)

multisteps = measurementInvariance(model = model2, data= N, group = "Race", strict= TRUE)

when I run multisteps, it gives following error 

Error in measurementInvariance(model = model2, data = N, group = "Race", : Configural model did not converge. In addition: Warning message: The measurementInvariance function is deprecated, and it will cease to be included in future versions of semTools. See help('semTools-deprecated) for details.

>

I don't know how to fix it, also IS THIS RIGHT COMMAND/CODE I am using? 

Earlier I asked you that I want to find invariant items  (RIs) in my test, and you said I can use std.lv command, 

I tried using it, but Lavaan is giving error message (may be I have already something in the code above that its not allowing me to add std.lv). 

I am not expert in SEM or advance analysis, any of your guidance will be a great HELP.

Please let me know how I can identify Invariant items that I can use further for propensity matching data

THANK YOU

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Saima Ghazal, PhD, Michigan Technological University, USA

Assistant Professor, Institute of Applied Psychology

University of the Punjab, Lahore, Pakistan 

http://www.riskliteracy.org/contact/

https://sites.google.com/site/descidelab/

https://www.linkedin.com/in/saima-ghazal-77b62629?trk=hp-identity-name

http://faculty.saima-ghazal.pu.edu.pk/

[Terrence Jorgensen]

Configural model did not converge.

The syntax is fine, but this error message is clear.  I see you fit a single-group model to each group, but you should try fitting the multigroup configural model.

fit.config <- cfa(model = model2, data= N, group = "Race", std.lv = TRUE)

This is the model that does not converge within measurementInvariance().  But I have no way of knowing why without seeing the data.