Table 2 Fit statistics from measurement...

Table 2

Fit statistics from measurement model comparison

Models	χ²/df	CFI	TLI	RMSEA	SRMR	Δχ²	Δdf
Full measurement model	236.93/143	0.95	0.94	0.07	0.07
Model A^a	498.61/146	0.82	0.78	0.13	0.13	261.68***	3
Model B^b	371.73/146	0.88	0.86	0.10	0.09	134.80***	3
Model C^c	842.54/148	0.64	0.58	0.18	0.16	605.61***	5
Model D^d	412.52/146	0.86	0.84	0.11	0.12	175.59***	3
Model E^e	459.60/146	0.84	0.81	0.12	0.15	222.67***	3
Model F^f	669.10/148	0.73	0.68	0.15	0.16	432.17***	5
Model G^g (Harman's single factor test)	1010.77/149	0.55	0.48	0.19	0.18	773.84***	6

Models	χ²/df	CFI	TLI	RMSEA	SRMR	Δχ²	Δdf
Full measurement model	236.93/143	0.95	0.94	0.07	0.07
Model A^a	498.61/146	0.82	0.78	0.13	0.13	261.68***	3
Model B^b	371.73/146	0.88	0.86	0.10	0.09	134.80***	3
Model C^c	842.54/148	0.64	0.58	0.18	0.16	605.61***	5
Model D^d	412.52/146	0.86	0.84	0.11	0.12	175.59***	3
Model E^e	459.60/146	0.84	0.81	0.12	0.15	222.67***	3
Model F^f	669.10/148	0.73	0.68	0.15	0.16	432.17***	5
Model G^g (Harman's single factor test)	1010.77/149	0.55	0.48	0.19	0.18	773.84***	6

Note(s): N = 153, ***p < 0.001; χ² = chi-square discrepancy, df = degrees of freedom; CFI=comparative fit index; TLI = Tucker–Lewis Index; RMSEA = root mean square error of approximation; SRMR= standardized root mean square residual; = difference in chi-square, = difference in degrees of freedom. In all measurement models, error terms were free to covary to improve fit and help reduce bias in the estimated parameter values. All models are compared to the full measurement model

^a = HR analytics and evidence-based management combined into a single factor

^b = HR analytics and technology combined into a single factor

^c = HR analytics, evidence-based management and technology combined into one factor

^d = Evidence-based management and organizational performance combined into a single factor

^e = HR analytics and organizational performance combined into a single factor

^f = HR analytics, evidence-based management and organizational performance combined into a single factor

^g = All factors combined into a single factor

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