test_models {EFAtools}

Four test models used in Grieder and Steiner (2020)

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 (2020) 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. (2020). Algorithmic Jingle Jungle: A Comparison of Implementations of Principal Axis Factoring and Promax Rotation in R and SPSS. Manuscript in Preparation.