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Factor Scores #7

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Ikarobarreto opened this issue Jul 16, 2019 · 4 comments
Open

Factor Scores #7

Ikarobarreto opened this issue Jul 16, 2019 · 4 comments

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@Ikarobarreto
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Hello Mikko Ronkko,

I am a user o matrixpls package in some workings papers.
I'm trying to perform a higher-order PLS model using lavaan format specifications.
I have some problems implementing two-stage approach.
Can you give me some advice about how to obtaining factor scores or another tips to perform two-stage approach?

Best regards.

@mronkko
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mronkko commented Jul 16, 2019

I am not sure what you mean by two-stage approach. Please provide a citation.

You can calculate composite scores by using the predict method.

@Ikarobarreto
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In Becker et al (2012), authors comments:

"The sequential latent variable score method, or two-stage approach, has the advantage that latent
variable scores are determined in PLS-SEM, and thus latent variables scores for lower-order latent
variables can be obtained (Chin, 1998a; Lohm€oller, 1989; Tenenhaus et al., 2005). It estimates the
construct scores of the first-order constructs in a first-stage model without the second-order construct
present, and subsequently uses these first-stage construct scores as indicators for the higher-order
latent variable in a separate second-stage analysis (e.g., Agarwal and Karahanna, 2000; Wetzels
et al., 2009; Wilson and Henseler, 2007)"

Becker, J. M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning, 45(5-6), 359-394.

@mronkko
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mronkko commented Jul 18, 2019

I will add an example of how to do that kind of analysis in the documentation. I will try to do it next week or the week after.

@Ikarobarreto
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Thank you.

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