1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1nareshArray
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)

Table 3: Overall model evaluation and goodness-of-fit for the stepwise logistic regression model
χ² df P
Overall model evaluation (likelihood ratio) 25.834 5 < .001
Goodness-of-fit test (Hosmer-Lemeshow) 7.412 8 .493
Cox-Snell test (R²) 0.543
Nagelkelke test (R²) 0.730
	χ²	df	P
Overall model evaluation (likelihood ratio)	25.834	5	< .001
Goodness-of-fit test (Hosmer-Lemeshow)	7.412	8	.493
Cox-Snell test (R²)	0.543
Nagelkelke test (R²)	0.730