Table 2.

Logistic regression analyses predicting whether or not a participant dropped a course

Model Coefficients – Dropped Course
		95% Confidence Interval						95% Confidence Interval
Predictor	Estimate	Lower	Upper	SE	Z	P	Odds ratio	Lower	Upper
Intercept	−.245	−8.525	8.034	4.224	−.058	.954	.782	1.98e-4	3084.162
Year	−.204	−.764	.356	.286	−.715	.475	.815	.466	1.427
Cum-GPA	−1.975	−3.475	−.475	.765	−2.581	.010	.139	.031	.622
ACT	.126	−.166	.419	.149	.845	.398	1.134	.847	1.520
Distress	.064	.009	.120	.028	2.293	.022	1.067	1.009	1.127
Model Coefficients – Dropped Course
		95% Confidence Interval						95% Confidence Interval
Predictor	Estimate	Lower	Upper	SE	Z	P	Odds ratio	Lower	Upper
Intercept	.665	−7.424	8.755	4.127	.161	.872	1.945	5.97e-4	6341.481
Year	−.243	−.789	.304	.279	−.871	.384	.785	0.454	1.355
Cum-GPA	−1.720	−3.169	−.311	.729	−2.387	.017	.176	0.042	.733
ACT	.113	−.171	.398	.145	.780	.435	1.120	0.843	1.488
Depression	.011	−.020	.041	.016	.699	.484	1.011	0.981	1.042
Model Coefficients – Dropped Course
		95% Confidence Interval						95% Confidence Interval
Predictor	Estimate	Lower	Upper	SE	Z	P	Odds ratio	Lower	Upper
Intercept	−1.392	–9.908	7.124	4.345	−.320	.749	.249	4.98e-5	1241.778
Year	−.208	−.774	.359	.289	−.718	.472	.812	.461	1.432
Cum-GPA	−1.912	–3.458	−.367	.788	−2.426	.015	.148	.032	.693
ACT	.149	−.156	.454	.156	.955	.339	1.160	.855	1.574
Anxiety	.092	.033	.150	.030	3.060	.002	1.096	1.034	1.162
Model Coefficients – Dropped Course
		95% Confidence Interval						95% Confidence Interval
Predictor	Estimate	Lower	Upper	SE	Z	P	Odds ratio	Lower	Upper
Intercept	−1.341	−9.881	7.199	4.357	−.308	.758	.262	5.11e-5	1337.912
Year	−.204	−.771	.363	.289	−.706	.480	.815	.463	1.437
Cum-GPA	−1.901	−3.454	−.347	.793	−2.398	.016	.149	.032	.707
ACT	.149	−.157	.454	.156	.953	.340	1.160	.855	1.574
Anxiety	.094	.029	.159	.033	2.819	.005	1.099	1.029	1.173
GSTRESS_2	−.006	−.070	.059	.033	−.170	.865	.994	.932	1.061

Note. Estimates represent the log odds of "Dropped Course = 1" vs. "Dropped Course = 0".