Silp-class

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

Silp-class function

<dl>
<dt><code>raw_model</code></dt>
<dd>The user-specified <code>lavaan</code> syntax model.</dd></dl>
<dt><code>rapi_model</code></dt>
<dd>The revised model with the RAPI method.</dd>
<dt><code>time</code></dt>
<dd>The operation time for <code>silp</code> (in seconds).</dd>
<dt><code>alp</code></dt>
<dd>type of reliability used.</dd>
<dt><code>npd</code></dt>
<dd>Logical. Whether the nearest positive definite matrix is used.</dd>
<dt><code>raw_data</code></dt>
<dd>The input data.</dd>
<dt><code>fa</code></dt>
<dd>An object of class <code>lavaan</code> representing the CFA result.</dd>
<dt><code>reliability</code></dt>
<dd>The reliability index.</dd>
<dt><code>composite_data</code></dt>
<dd>The composite data for RAPI.</dd>
<dt><code>pa</code></dt>
<dd>The result of <code>silp</code>.</dd>
<dt><code>boot</code></dt>
<dd>The results of <code>resilp</code> from R bootstrap samples.</dd>
<dt><code>origine</code></dt>
<dd>The original <code>silp</code> estimation.</dd>
<dt><code>time_resilp</code></dt>
<dd>The operation time for <code>resilp</code> (in seconds).</dd>

Slots

Define silp class — Silp-class

<dl>
<dt><code>raw_model</code></dt>
<dd>The user-specified <code>lavaan</code> syntax model.</dd>


<dt><code>rapi_model</code></dt>
<dd>The revised model with the RAPI method.</dd>


<dt><code>time</code></dt>
<dd>The operation time for <code>silp</code> (in seconds).</dd>


<dt><code>alp</code></dt>
<dd>type of reliability used.</dd>


<dt><code>npd</code></dt>
<dd>Logical. Whether the nearest positive definite matrix is used.</dd>


<dt><code>raw_data</code></dt>
<dd>The input data.</dd>


<dt><code>fa</code></dt>
<dd>An object of class <code>lavaan</code> representing the CFA result.</dd>


<dt><code>reliability</code></dt>
<dd>The reliability index.</dd>


<dt><code>composite_data</code></dt>
<dd>The composite data for RAPI.</dd>


<dt><code>pa</code></dt>
<dd>The result of <code>silp</code>.</dd>


<dt><code>boot</code></dt>
<dd>The results of <code>resilp</code> from R bootstrap samples.</dd>


<dt><code>origine</code></dt>
<dd>The original <code>silp</code> estimation.</dd>


<dt><code>time_resilp</code></dt>
<dd>The operation time for <code>resilp</code> (in seconds).</dd>


</dl>

Silp-class: Define silp class

Description

Arguments

Slots