FSR: Factor Score Regression approach

In powerNLSEM: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM

Factor Score Regression approach

Description

Factor Score Regression approach

Usage

FSR(lavModel_Analysis, data, FSmethod = "SL", data_transformations = NULL)

Arguments

lavModel_Analysis	the lavModel_Analysis object
data	set to fit
FSmethod	Method to be used to extract factor scores. Default to "SL" for the Skrondal and Laake approach that uses regression ("regression") factor scores for the independendent variables and "Bartlett" factor scores for the dependent variables.
data_transformations	Data transformations

Value

Returns a data.frame that includes parameter estimates estimated using FSR.

References

Similar to: Ng, J. C. K., & Chan, W. (2020). Latent moderation analysis: A factor score approach. Structural Equation Modeling: A Multidisciplinary Journal, 27(4), 629–648. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10705511.2019.1664304")}.

Skrondal, A., & Laake, P. (2001). Regression among factor scores. Psychometrika, 66(4), 563-575. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/BF02296196")}

powerNLSEM documentation built on Sept. 27, 2024, 5:10 p.m.