Calculating R squared in Lavaan

fin nugent

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Mar 22, 2022, 12:59:02 PM3/22/22

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Hello,

I'm currently using UTAUT in my dissertation project. I have had people complete a survey relating to intention to use Bitcoin as a currency and have ran a SEM analysis on it. The final step I want to use is to have an R squared value for Behavioural intention. I currently only have r squared values for the other 6 variables. Does anyone know a way in which i can get r squared for this people or is it as simple as its the average of the other 6?

Here is my code and results:

semmodel <- 'performanceexpectancy =~ PE1 + PE2 + PE3
Effortexpectancy =~ EE1 + EE2 + EE3 + EE4
Socialinfluence =~ SI1 + SI2 + SI3
Facilitatingconditions =~ FC1 + FC2
Behaviouralintention =~ BI1 + BI2 + BI3 + BI4
Perceivedrisk =~ PR1 + PR2 + PR3
Financialliteracy =~ FL1 + FL2

performanceexpectancy ~ Behaviouralintention
Effortexpectancy ~ Behaviouralintention
Socialinfluence ~ Behaviouralintention
Facilitatingconditions ~ Behaviouralintention
Perceivedrisk ~ Behaviouralintention
Financialliteracy ~ Behaviouralintention'

Bitcoin.fit2 <-sem(semmodel, data = surveydata)
summary(Bitcoin.fit2, standardized = TRUE, fit.measures = TRUE, rsquare = TRUE)

RSQUARE:

prfrmncxpctncy 0.416
Effortexpctncy 0.085
Socialinfluenc 0.270
Faclttngcndtns 0.064
Perceivedrisk 0.147
Financialltrcy 0.025

Unfortunately these are not great r square results haha but would appreciate advise on how to get a result for behavioural intention even if not a great number, thanks :)

SEM Model.pdf

Christian Arnold

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Mar 22, 2022, 5:58:19 PM3/22/22

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lavInspect(Bitcoin.fit2, "rsquare")

Von: lav...@googlegroups.com <lav...@googlegroups.com> im Auftrag von fin nugent <finlay....@gmail.com>
Gesendet: Dienstag, 22. März 2022, 17:59
An: lavaan <lav...@googlegroups.com>
Betreff: Calculating R squared in Lavaan

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Fran

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Mar 22, 2022, 7:00:22 PM3/22/22

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Behavioural intention should be your endogenous variable I guess - so both your model ("SEM Model.pdf") and your syntax is wrong.
Behavioural intention is predicted by performanceexpectancy, Effortexpectancy, etc.