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(apollo_drugChoiceData)+(Hybrid_with_OL.r) + (Hybrid_with_continuous_measurement.r)

Posted: 11 Apr 2022, 02:46
by Chen
Dear Sir,

I'm studying section 7.3 of the Apollo manual and have a few questions for you.

The manual says that a structural model is set for the latent variable of (apollo_drugChoiceData), where can I see the specific model framework? Is there a corresponding article?I would like to be able to have a model frame setup diagram similar to a structural equation model.

Whether the OL and continuous_measurement parts are related to the dependent variable y or the latent variable.

Your suggestions are highly appreciated.

Re: (apollo_drugChoiceData)+(Hybrid_with_OL.r) + (Hybrid_with_continuous_measurement.r)

Posted: 15 Apr 2022, 11:11
by stephanehess
Hi

as mentioned on the website and in the manual, please consult the academic paper on Apollo which has more details on the model

Best wishes

Stephane

Re: (apollo_drugChoiceData)+(Hybrid_with_OL.r) + (Hybrid_with_continuous_measurement.r)

Posted: 23 Apr 2022, 15:41
by Chen
Dear Sir,

I have a question about (Hybrid_with_continuous_measurement).
### Likelihood of indicators
normalDensity_settings1 = list(outcomeNormal = attitude_quality,
xNormal = zeta_quality*LV,
mu = 0,
sigma = sigma_qual,
rows = (task==1),
componentName = "indic_quality")

I read Daly's (2012) article which gives:
Attitudinal responses are modelled by a series of relationships known as the ‘measurement’ equations, which the literature generally assumes to be linear:
y=a+dZ+c
y is the indicators, Z is the latent variable

my question is:
Is (xNormal = zeta_quality*LV) related to the formula given by Daly? The constant a is not included in the R code.
Hope to be able to explain in detail (xNormal = zeta_quality*LV)

thank you for your reply.

Re: (apollo_drugChoiceData)+(Hybrid_with_OL.r) + (Hybrid_with_continuous_measurement.r)

Posted: 26 Apr 2022, 23:35
by stephanehess
Hi

did you read the manual?

If you look between equations 7.5 and 7.6, you can see that we subtract the mean from the indicators and thus do not need to estimate the constant

Stephane