Table 6 Relationship between regulatory...

Table 6

Relationship between regulatory framework and SPPM adoption

	Estimate	Std. Error	Wald	Df	Sig	95% confidence interval
						Lower bound	Upper bound
Threshold [PM = 2.50]	0.857	3.106	0 .076	1	0.783	−5.231	6.945
[PM = 3.00]	2.293	3.108	0.544	1	0.461	−3.799	8.384
[PM = 3.50]	4.094	3.151	1.688	1	0.194	−2.082	10.270
[PM = 4.00]	6.713	3.196	4.413	1	0.036	0.450	12.976
[PM = 4.50]	7.953	3.210	6.140	1	0.013	1.663	14.244
Existence of law	0.052	0.317	0.027	1	0.869	−0.569	0.673
Noncompliance sanctions	0.226	0.437	0.268	1	0.605	−0.630	1.082
Explicit metrics	1.358	0.364	13.929	1	0.000	0.645	2.071

	Estimate	Std. Error	Wald	Df	Sig	95% confidence interval
						Lower bound	Upper bound
Threshold [PM = 2.50]	0.857	3.106	0 .076	1	0.783	−5.231	6.945
[PM = 3.00]	2.293	3.108	0.544	1	0.461	−3.799	8.384
[PM = 3.50]	4.094	3.151	1.688	1	0.194	−2.082	10.270
[PM = 4.00]	6.713	3.196	4.413	1	0.036	0.450	12.976
[PM = 4.50]	7.953	3.210	6.140	1	0.013	1.663	14.244
Existence of law	0.052	0.317	0.027	1	0.869	−0.569	0.673
Noncompliance sanctions	0.226	0.437	0.268	1	0.605	−0.630	1.082
Explicit metrics	1.358	0.364	13.929	1	0.000	0.645	2.071

Note(s): Model fitting information (Chi-square = 40.353; Sig 0.000; Loglikelihood = 178.467) Goodness-of-Fit (Pearson = , X² (235) = 908.652, p = 0.000; Deviance = X² (235) = 154,452, p = 1.000), Cox and Snell R-Square = 0.371; Nagelkerke R-Square = 0.39 McFadden R-square = 0.157) (Test of parallel lines, −2 Log Likelihood = 111.492, χ² (44) = 50.751, p = 0.250)

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