data_SDT

<p>A data frame with scores for 366 cases on 12 variables that have  
	the same correlational structure as those reported by Snchez-Oliva et al. (2017).
	The data were generated using the values in their Table 1, p. 179.
	There are four scores for each of three needs, pertaining to autonomy, 
	competence, and relatedness at work.</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 bi-factor 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 factor-ability of a correlation matrix,
for the congruence 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, <doi:10.1037/met0000200>);
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>).

data_SDT: data_SDT

Description

Usage

Arguments

References

Examples