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silp  

Conditional Process Analysis (CPA) via Structural Equation Modeling (SEM) Approach
View on CRAN: Click here


Download and install silp package within the R console
Install from CRAN:
install.packages("silp")

Install from Github:
library("remotes")
install_github("cran/silp")

Install by package version:
library("remotes")
install_version("silp", "1.0.0")



Attach the package and use:
library("silp")
Maintained by
Yi-Hsuan Tseng
[Scholar Profile | Author Map]
First Published: 2024-08-23
Latest Update: 2024-08-23
Description:
Provides Reliability-Adjusted Product Indicator (RAPI) method to estimate effects among latent variables, thus allowing for more precise definition and analysis of mediation and moderation models. Our simulation studies reveal that while 'silp' may exhibit instability with smaller sample sizes and lower reliability scores (e.g., N = 100, omega = 0.7), implementing nearest positive definite matrix correction and bootstrap confidence interval estimation can significantly ameliorate this volatility. When these adjustments are applied, 'silp' achieves estimations akin in quality to those derived from latent moderated structural equations (LMS). In conclusion, the 'silp' package is a valuable tool for researchers seeking to explore complex relational structures between variables without resorting to commercial software. Hsiao et al.(2018)<doi:10.1177/0013164416679877> Kline & Moosbrugger(2000)<doi:10.1007/BF02296338> Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0>.
How to cite:
Yi-Hsuan Tseng (2024). silp: Conditional Process Analysis (CPA) via Structural Equation Modeling (SEM) Approach. R package version 1.0.0, https://cran.r-project.org/web/packages/silp. Accessed 17 Feb. 2025.
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