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matrixStrucTest  

Tests of Matrix Structure for Construct Validation
View on CRAN: Click here


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

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

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



Attach the package and use:
library("matrixStrucTest")
Maintained by
Brian D. Segal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-18
Latest Update: 2019-07-18
Description:
Tests for block-diagonal structure in symmetric matrices (e.g. correlation matrices) under the null hypothesis of exchangeable off-diagonal elements. As described in Segal et al. (2019), these tests can be useful for construct validation either by themselves or as a complement to confirmatory factor analysis. Monte Carlo methods are used to approximate the permutation p-value with Hubert's Gamma (Hubert, 1976) and a t-statistic. This package also implements the chi-squared statistic described by Steiger (1980). Please see Segal, et al. (2019) for more information.
How to cite:
Brian D. Segal (2019). matrixStrucTest: Tests of Matrix Structure for Construct Validation. R package version 1.0.0, https://cran.r-project.org/web/packages/matrixStrucTest. Accessed 29 Jan. 2025.
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Complete documentation for matrixStrucTest
Functions, R codes and Examples using the matrixStrucTest R package
Some associated functions: X2Fun . big5 . deltaSub . makeGroupList . matrixStrucTest . matrixStrucTestSub . multiSub . prepBoxPlots . print.mst . sigmaRhoFun . sigmaZFun . 
Some associated R codes: data.R . hubert_t.R . pearson_filon.R .  Full matrixStrucTest package functions and examples
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