mode_A

mode_A,

correlation_weights

<code>mode_A</code>, <code>correlation_weights</code> and <code>mode_B</code>, <code>regression_weights</code> specify the outer weighting
scheme to be used in the estimation of the construct weights and score.

A powerful, easy to syntax for specifying and estimating complex
Structural Equation Models. Models can be estimated using Partial
Least Squares Path Modeling or Covariance-Based Structural Equation
Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).

Nicholas Danks

seminr

Building and Estimating Structural Equation Models

Soumya Ray

Nicholas Patrick Danks

André Calero Valdez

Juan Manuel Velasquez Estrada

James Uanhoro

Johannes Nakayama

Lilian Koyan

Laura Burbach

Arturo Heynar Cano Bejar

Susanne Adler

mode_A function

<dl><dt>mmMatrix</dt>
<dd>is the <code>measurement_model</code> - a source-to-target matrix representing the measurement model,
generated by <code>constructs</code>.</dd>
<dt>i</dt>
<dd>is the name of the construct to be estimated.</dd>
<dt>normData</dt>
<dd>is the dataframe of the normalized item data.</dd>
<dt>construct_scores</dt>
<dd>is the matrix of construct scores generated by <code>estimate_model</code>.</dd></dl>

Arguments

Outer weighting scheme functions to estimate construct weighting. — mode_A

<dl>

<dt>mmMatrix</dt>
<dd>is the <code>measurement_model</code> - a source-to-target matrix representing the measurement model,
generated by <code>constructs</code>.</dd>


<dt>i</dt>
<dd>is the name of the construct to be estimated.</dd>


<dt>normData</dt>
<dd>is the dataframe of the normalized item data.</dd>


<dt>construct_scores</dt>
<dd>is the matrix of construct scores generated by <code>estimate_model</code>.</dd>

</dl>

Outer weighting scheme functions to estimate construct weighting.

mode_A: Outer weighting scheme functions to estimate construct weighting.

Description

Usage

Value

Arguments