Table 4.

Fit indices of two calculated models for factor analysis of the German ORIC

	χ2†	df‡	χ2/df§	CFI¶	TLI**	RMSEA††	AIC‡‡	PNFI§§
Two-factor model	81.71*	34	2.40	0.968	0.947	0.078	143.71	0.585
One-factor model	77.19*	35	2.20	0.928	0.907	0.103	117.19	0.682

Two-factor model was calculated for the whole data set (n=230): factor 1 includes item 1 to 5, factor 2 includes item 6 to 10; one-factor model was calculated for half of the data set (n=115):includes items 1 to 10.

*p=0.000.

†discrepancy χ² statistic.

‡degree of freedom.

§normed χ² statistic.

¶Comparative Fit Index.

**Tucker-Lewis Index.

††Root mean square error of approximation.

‡‡Akaike Information Criterion.

§§Parsimonious Normed Fit Index

AIC, Akaike Information Criterion; CFI, Comparative Fit Index; df, degree of freedom; ORIC, Organisational Readiness for Implementing Change; PNFI, Parsimonious Normed Fit Index; RMSEA, root mean square error of approximation; TLI, Tucker-Lewis Index.