Table 3.
Predictors of engagement: multivariable results
| Multivariable Model Results | |||
|---|---|---|---|
| OR | 95% Confidence Interval | p-value | |
| Model 1: Completer (n = 1387) vs. Non-Completion (n = 1561) | |||
| Constant a | 0.398 | (0.278, 0.571) | <0.001 |
| Ethnicityb | 1.028 | (0.835, 1.264) | 0.80 |
| IMD Score | 1.005 | (1.000, 1.010) | 0.04 |
| BMI SDS | 1.111 | (1.020, 1.211) | 0.02 |
| Programme Year | 1.130 | (1.066, 1.199) | <0.001 |
| Group Sizeb | 1.207 | (1.028, 1.417) | 0.02 |
| Delivery Periodb | |||
| January Intake | Reference Category | ||
| April Intake | 1.284 | (1.077, 1.530) | 0.01 |
| September Intake | 1.261 | (1.046, 1.520) | 0.02 |
| Model 2: Continuer (n = 2400) vs. Initiator (n = 548) | |||
| Constant | 0.079 | (0.049, 0.127) | <0.001 |
| Ethnicityb | 0.637 | (0.492, 0.825) | <0.001 |
| IMD Score | 1.003 | (0.997, 1.009) | 0.27 |
| BMI SDS | 1.091 | (0.976, 1.220) | 0.12 |
| Programme Year | 1.178 | (1.090, 1.272) | <0.001 |
| Group Sizeb | 1.399 | (1.141, 1.714) | <0.001 |
| Delivery Periodb | |||
| January Intake | Reference Category | ||
| April Intake | 1.318 | (1.054, 1.648) | 0.02 |
| September Intake | 1.363 | (1.069, 1.739) | <0.001 |
| Model 3: Completer (n = 1387) vs Late Dropout (n = 380) | |||
| Constant | 0.097 | (0.054, 0.173) | <0.001 |
| Ethnicityb | 0.823 | (0.603, 1.125) | 0.22 |
| IMD Score | 1.002 | (0.994, 1.009) | 0.64 |
| BMI SDS | 1.178 | (1.023, 1.357) | 0.02 |
| Programme Year | 1.167 | (1.066, 1.278) | <0.001 |
| Group Sizeb | 0.957 | (0.743, 1.232) | 0.73 |
| Delivery Periodb | |||
| January Intake | Reference Category | ||
| April Intake | 1.397 | (1.064, 1.834) | 0.02 |
| September Intake | 1.180 | (0.874, 1.594) | 0.28 |
| Model 4: Completer (n = 1378) vs. Sporadic Attender (n = 633) | |||
| Constant | 0.214 | (0.134, 0.343) | <0.001 |
| Ethnicityb | 1.565 | (1.153, 2.124) | 0.01 |
| IMD Score | 1.006 | (1.000, 1.013) | 0.04 |
| BMI SDS | 1.065 | (0.949, 1.195) | 0.28 |
| Programme Year | 1.032 | (0.954, 1.117) | 0.09 |
| Group Sizeb | 1.196 | (0.970, 1.474) | 0.09 |
| Delivery Periodb | |||
| January Intake | Reference Category | ||
| April Intake | 1.123 | (0.891, 1.414) | 0.33 |
| September Intake | 1.165 | (0.913, 1.485) | 0.22 |
| Model 5: High- (n = 346) vs. Low- (n = 287) Sporadic Attender | |||
| Constant | 0.510 | (0.228, 1.144) | 0.10 |
| Ethnicityb | 1.539 | (0.980, 2.419) | 0.06 |
| IMD Score | 1.010 | (1.000, 1.021) | 0.05 |
| BMI SDS | 0.863 | (0.718, 1.038) | 0.12 |
| Programme Year | 1.104 | (0.956, 1.275) | 0.18 |
| Group Sizeb | 1.358 | (0.954, 1.933) | 0.09 |
| Delivery Periodb | |||
| January Intake | Reference Category | ||
| April Intake | 0.763 | (0.517, 1.125) | 0.17 |
| September Intake | 0.880 | (0.583, 1.330) | 0.55 |
a Constant = Intercept of the Regression Line (β0)
bCategorical variables
Model 1: R 2 = 0.014-0.015 (Cox & Snell), 0.019-0.021 (Nagelkerke). Model χ2 (7) = 42.99-45.82
Model 2: R 2 = 0.013-0.017 (Cox & Snell), 0.021-0.027 (Nagelkerke). Model χ2 (7) = 39.18-50.00
Model 3: R 2 = 0.012-0.014 (Cox & Snell), 0.018-0.021 (Nagelkerke). Model χ2 (7) = 20.64-24.34
Model 4: R 2 = 0.011-0.022 (Cox & Snell), 0.015-0.031 (Nagelkerke). Model χ2 (7) = 22.22-45.11
Model 5: R 2 = 0.045-0.062 (Cox & Snell), 0.060-0.083 (Nagelkerke). Model χ2 (7) = 29.12-40.41