Latent variable scores as input for logistic regression
Posted: Mon May 16, 2016 11:21 am
Hi all,
I intend to model a binary choice decision (chosen=1, not chosen=0) using several latent constructs as predictors. Some of the constructs are (multi-item) reflective measures, the other is a multi-item formative measure (all items are Likert-scale based). I am looking for the best way to create the construct values required for my logistic regression.
Is it possible to use SmartPLS to operationalize the constructs albeit the binary nature of the dependent variable (DV)?
Specifically, can I use it to a) validate the psychometric properties of the respective constructs (formative: VIF, weights, etc.; reflective: CR, AVE, etc.) and b) "generate" latent variable scores (LVS) that I employ as independent variables in the logistic regression?
If so, are there any precedents in the literature that you are aware of?
To my knowledge, SmartPLS is/should typically not (be) employed for binary variables (e.g., Hair et al., 2012, p. 421) but am wondering if it might be feasible for the purpose above. I would not interpret the path coefficients from the constructs to the binary DV but merely "create" the LVS for the subsequent logistic regression.
Looking forward to your replies! In advance, thank you very much!
Benedikt Constantin
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Quote: Hair, J.F./Sarstedt, M./Ringle, C. M./ Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40. 414-433. (DOI 10.1007/s11747-011-0261-6)
I intend to model a binary choice decision (chosen=1, not chosen=0) using several latent constructs as predictors. Some of the constructs are (multi-item) reflective measures, the other is a multi-item formative measure (all items are Likert-scale based). I am looking for the best way to create the construct values required for my logistic regression.
Is it possible to use SmartPLS to operationalize the constructs albeit the binary nature of the dependent variable (DV)?
Specifically, can I use it to a) validate the psychometric properties of the respective constructs (formative: VIF, weights, etc.; reflective: CR, AVE, etc.) and b) "generate" latent variable scores (LVS) that I employ as independent variables in the logistic regression?
If so, are there any precedents in the literature that you are aware of?
To my knowledge, SmartPLS is/should typically not (be) employed for binary variables (e.g., Hair et al., 2012, p. 421) but am wondering if it might be feasible for the purpose above. I would not interpret the path coefficients from the constructs to the binary DV but merely "create" the LVS for the subsequent logistic regression.
Looking forward to your replies! In advance, thank you very much!
Benedikt Constantin
----
Quote: Hair, J.F./Sarstedt, M./Ringle, C. M./ Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40. 414-433. (DOI 10.1007/s11747-011-0261-6)