Table 2.

Comparison of principal axis factoring (PAF) and principal component analysis (PCA) regarding the dependent variables of the present research model.

	PAF		PCA
Items	(Rotated) factor loadings		(Rotated) factor loadings
Perceived competence in teaching the following facets of information literacy:	Information assessment	Understanding of news creation	Information assessment	Understanding of news creation
To recognize false reports or “fake news.”	0.60	0.41	0.66	0.40
To judge which sources of information can be trusted.	0.65	0.33	0.73	0.30
To critically scrutinize and evaluate news.	0.70	0.37	0.75	0.36
To judge whether news is written in a factual or lurid manner.	0.76	0.18	0.83	0.14
To distinguish news from personal commentary that only reflects the authors’ personal opinion.	0.64	0.29	0.74	0.25
To assess the extent to which the interests of, e.g., politics, business, or others influence the production of news.	0.29	0.69	0.26	0.76
To know the political orientation of the various sources of information.	0.30	0.69	0.27	0.75
To know what different kinds of news sources exist.	0.34	0.50	0.33	0.57
To understand how news is produced.	0.22	0.73	0.18	0.80
To assess the extent to which the media’s own interests influence news production.	0.28	0.68	0.24	0.76
To judge whether news comes from professional journalists or amateurs.	0.41	0.58	0.41	0.63
Total variance explained	53.76%		61.88%
KMO	0.900		0.900
Bartlett’s test	<0.001		<0.001

Bold values represent the items’ factor allocation.