Pocket guide to Exploratory and Confirmatory Factor Analysis in R

Last updated on Aug 13, 2023 1 min read R, Rblog, psychology, psychometrics

One single common factor

	i1	i2	i3	i4
i1	1.00	0.64	0.64	0.64
i2	0.64	1.00	0.64	0.64
i3	0.64	0.64	1.00	0.64
i4	0.64	0.64	0.64	1.00

Two uncorrelated common factors

	i1	i2	i3	i4
i1	1.00	0.64	0.00	0.00
i2	0.64	1.00	0.00	0.00
i3	0.00	0.00	1.00	0.64
i4	0.00	0.00	0.64	1.00

Two correlated common factors

	i1	i2	i3	i4
i1	1.00	0.64	0.41	0.41
i2	0.64	1.00	0.41	0.41
i3	0.41	0.41	1.00	0.64
i4	0.41	0.41	0.64	1.00

In Confirmatory Factor Analysis, relationships among factors may be specified, giving rise to the ability to test higher-order structures. For example, the correlation between specific factors F1 and F2 could be accounted for by a higher-order general factor F.

R psychology psychometrics psychlab lavaan EFA CFA

Pocket guide to Exploratory and Confirmatory Factor Analysis in R

Claudiu-Cristian Papasteri

Psychologist, Psychotherapist, Researcher

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