data_RSE_sex

<p>A data frame with 400 observations for males and 400 observations
for females on the 10 items from the Rosenberg Self-Esteem scale.
Negatively-worded items were reverse-coded.</p>

Functions for an assortment of factor analysis-related
procedures, including eleven procedures for determining the number of
factors; for factor analysis with multiple options for methods of extraction
and rotation; for bifactor analysis; for extension factor analysis;
options for running the analyses using either raw data
or correlation matrices as input and with options
for conducting the analyses using Pearson correlations,
Kendall correlations, Spearman correlations, gamma correlations, or polychoric
correlations; wrapper 'lavaan'-based functions for factorial invariance
and exploratory structural equation modeling;
functions for the factorability of a correlation matrix,
for the congruences between factors from different datasets, for the
assessment of local independence, for the assessment of factor solution
complexity, for internal consistency, and for correcting Pearson correlation
coefficients for attenuation due to unreliability.
Auerswald & Moshagen (2019, ISSN:1939-1463);
Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2);
Mulaik (2010, ISBN:978-1-4200-9981-2);
O'Connor (2000, <doi:10.3758/bf03200807>);
O'Connor (2001, ISSN:0146-6216).

Brian O'Connor

data_RSE_sex: Item-level dataset for the Rosenberg Self-Esteem scale plus gender

Description

Usage

Arguments

References

Examples