summary,Silp-method

Summary Methods for Class <code>Silp</code> in Package silp.

summary-methods

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>.

Yi-Hsuan Tseng

silp

Conditional Process Analysis (CPA) via Structural Equation
Modeling (SEM) Approach

Po-Hsien Huang

summary-methods function

<dl>
<dt><code>signature(object = "Silp", method = "Bootstrap")</code></dt>
<dd>Returns the summary result of `silp` or `resilp`. This method is for `resilp` only. If <code>method = "Bootstrap"</code>, the percentile bootstrap result is presented. If <code>method = "BC_b"</code>, the bias-corrected bootstrap result is presented.</dd>
</dl>

Methods

Methods for Class Silp in Package silp — summary-methods

<dl>
<dt><code>signature(object = "Silp", method = "Bootstrap")</code></dt>
<dd>Returns the summary result of `silp` or `resilp`. This method is for `resilp` only. If <code>method = "Bootstrap"</code>, the percentile bootstrap result is presented. If <code>method = "BC_b"</code>, the bias-corrected bootstrap result is presented.</dd>


</dl>

summary-methods: Methods for Class `Silp` in Package silp

Description

Arguments

Methods