Attainment and still enrolled (Dependent variable)

Time the job executed : 10/23/09 17:41

Full sample weight : WTA000

Variance estimation method : BRR

Type of analysis : LOGISTIC

Number of replicates : 200

Percentage of observed over total cases : 7.50%

Convergence criterion : 1.00E-06

Maximum of iterations : 25

Value of alpha (Confidence level %) : 0.05000 (95.00000 %)

Options : Intercept

Degrees of freedom : 200

Dependent variable :

No degree not enrolled 1

vs. Attained still enrolled 0

Negative log-likelihood(Pseudo R**2) 0.033

-2 log-likelihood

G**2 0 For intercept (-2LL 0) -221030.11

G**M 0 For model (-2LL M) 14622.357

Likelihood ratio (Cox-Snell) 0.042

Likelihood ratio (Cox-Snell) Maximum 0.731

Likelihood ratio (Estrella) 0.043

Degree of freedom for Wald 200

Number of categories 5

No problems detected

Filters

* Distance education courses in 2003-04=Yes. Yes" (Value= )"

Missing Values Excluded

ODDS RATIO RESULTS

Odds Ratio Lower 95%Upper 95% t Probability t Ln(Odds Ratio)

Intercept 0.203 0.107 0.387 -4.965 0 -1.592

Gender

"Male" 0.849 0.605 1.191 -0.971 0.333 -0.164

vs. "Female"

Studentís age as of 12/31/2003 1.046 1.02 1.071 3.67 0 0.045

Race/ethnicity

"Black or African American" 1.296 0.78 2.152 1.025 0.307 0.259

"Hispanic or Latino" 1.052 0.626 1.766 0.196 0.845 0.051

"Asian" 0.794 0.327 1.926 -0.524 0.601 -0.231

vs. "White"

HYPOTHESIS TESTING RESULTS

WaldF Num. DF Denom. DF Probability F

Overall Fit 3.852 5 196 0.002

Gender 0.944 1 200 0.333

Studentís age as of 12/31/2003 13.471 1 200 0

Race/ethnicity 0.476 3 198 0.699

What determines statistical significance of the model?