calculatePr

Calculates the probability that theta^1 is smaller than or equal to theta^2.
See Equation (6) in Sarstedt2011;textualcSEM.

internal

Estimate, assess, test, and study linear, nonlinear, hierarchical
and multigroup structural equation models using composite-based approaches
and procedures, including estimation techniques such as partial least squares
path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc),
generalized structured component analysis (GSCA), generalized structured
component analysis with uniqueness terms (GSCAm), generalized canonical
correlation analysis (GCCA), principal component analysis (PCA),
factor score regression (FSR) using sum score, regression or
bartlett scores (including bias correction using Croon’s approach),
as well as several tests and typical postestimation procedures
(e.g., verify admissibility of the estimates, assess the model fit,
test the model fit etc.).

Florian Schuberth

cSEM

Composite-Based Structural Equation Modeling

Manuel E. Rademaker

Tamara Schamberger

Michael Klesel

Theo K. Dijkstra

Jörg Henseler

calculatePr function

<dl><dt>.parameters_to_compare</dt>
<dd>A model in lavaan model syntax indicating which
parameters (i.e, path (<code>~</code>), loadings (<code>=~</code>), weights (<code>&lt;~</code>), or correlations (<code>~~</code>)) should be
compared across groups. Defaults to <code>NULL</code> in which case all weights, loadings and
path coefficients of the originally specified model are compared.</dd></dl>

Arguments

Internal: Calculation of the CDF used in Henseler et al. (2009) — calculatePr

<dl>

<dt>.parameters_to_compare</dt>
<dd>A model in lavaan model syntax indicating which
parameters (i.e, path (<code>~</code>), loadings (<code>=~</code>), weights (<code>&lt;~</code>), or correlations (<code>~~</code>)) should be
compared across groups. Defaults to <code>NULL</code> in which case all weights, loadings and
path coefficients of the originally specified model are compared.</dd>

</dl>

calculatePr: Internal: Calculation of the CDF used in Henseler et al. (2009)

Description

Usage

Value

Arguments

References