test_models: Four test models used in Grieder and Steiner (2022)
In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
test_models R Documentation
Four test models used in Grieder and Steiner (2022)
Description
Correlation matrices created from simulated data from four of the
population_models cases, each with strong factor intercorrelations.
These are used in Grieder & Steiner (2022) to compare the psych and SPSS
implementations in this package with the actual implementations of the programs.
For details on the cases, see population_models.
Usage
test_models
Format
A list of 4 lists "baseline", "case_1a", "case_6b", and "case_11b", each with the following elements.
- cormat
(matrix) - The correlation matrix of the simulated data.
- n_factors
(numeric) - The true number of factors.
- N
(numeric) - The sample size of the generated data.
Source
Grieder, S., & Steiner, M. D. (2022). Algorithmic jingle jungle: A comparison
of implementations of principal axis factoring and promax rotation in R and SPSS.
Behavior Research Methods, 54, 54–74. doi: 10.3758/s13428-021-01581-x
EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.
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| test_models | R Documentation |
Four test models used in Grieder and Steiner (2022)
Description
Correlation matrices created from simulated data from four of the
population_models cases, each with strong factor intercorrelations.
These are used in Grieder & Steiner (2022) to compare the psych and SPSS
implementations in this package with the actual implementations of the programs.
For details on the cases, see population_models.
Usage
test_models
Format
A list of 4 lists "baseline", "case_1a", "case_6b", and "case_11b", each with the following elements.
- cormat
(matrix) - The correlation matrix of the simulated data.
- n_factors
(numeric) - The true number of factors.
- N
(numeric) - The sample size of the generated data.
Source
Grieder, S., & Steiner, M. D. (2022). Algorithmic jingle jungle: A comparison of implementations of principal axis factoring and promax rotation in R and SPSS. Behavior Research Methods, 54, 54–74. doi: 10.3758/s13428-021-01581-x
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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