Table 1. Hierarchical Linear Models for Active Lever Presses.
| Unconditional Model | Fixed Ratio 2 | Progressive Ratio 2 | ||
|---|---|---|---|---|
| Percent Within Variation | 30.0% | 47.4% | ||
| Intercept Est. (S.E.) | 92.0 (9.0) | 680.8 (74.5) | ||
| Linear Component Est. (S.E.) | 6.22 (3.55) | 97.8 (38.1) | ||
| Residual Test | χ2 = 16.8, 3 df, p = 0.001 | χ2 = 58.1, 3 df, p = 0.000 | ||
| % Variation | 44.0 % | 57.0 % | ||
| Individual Variation | χ2 = 4.28, 1 df, p = 0.036 | χ2 =46.2, 2 df, p = 0.000 | ||
| Different from Zero | t=1.79, 27 df, p= 0.084 | t = 2.57, 27 df, p = 0.016 | ||
| Accelerated Component Est. (S.E.) | 1.12 (2.61) | -24.9 (19.9) | ||
| Residual Test | χ2 = 8.37, 4 df, p = 0.078 | χ2 = 9.06, 4 df, p = 0.059 | ||
| % Variation | 26.0 % | 11.0 % | ||
| Individual Variation | χ2 = 8.34, 3 df, p = 0.039 | χ2 = 8.12, 3 df, p = 0.043 | ||
| Different from Zero | t= 0.428, 27 df p= 0.67 | t =-1.26, 27 df, p = 0.221 | ||
| Final Mode1 Including Sex and Dose factors | Fixed Ratio 2 | Progressive Ratio 2 | ||
| Predicted Values (S.E.) | P-value | Predicted Values (S.E.) | P-Value | |
| Intercept (β00) | 125.1 (17.8) | 0.000 | 540.5 (54.6) | 0.000 |
| Dose (γ01) | -82.5 (18.3) | 0.000 | 2.2 (80.7) | 0.978 |
| Sex (γ02) | -2.5 (26.4) | 0.924 | -16.5 (126.7) | 0.898 |
| Dose × Sex (γ03) | -6.9 (27.3) | 0.802 | -148.9 (151.7) | 0.337 |
| Linear Slope (β10) | 0.22 (11) | 0.984 | 460.1 (199.7) | 0.030 |
| Dose (γ11) | 18.2 (11.4) | 0.125 | -383.8 (211.6) | 0.082 |
| Sex (γ12) | -24.8 (32.9) | 0.458 | -484.6 (207.7) | 0.028 |
| Dose × Sex (γ13) | 23.5 (33.4) | 0.489 | 518.4 (250.8) | 0.049 |
| Accelerated Slope (β20) | 1.5 (3.6) | 0.410 | -70.5 (51.03) | 0.180 |
| Dose (γ21) | -6.0 (3.9) | 0.136 | 70.3 (54.2) | 0.207 |
| Sex (γ22) | 9.6 (9.7) | 0.332 | 59.8 (54.7) | 0.285 |
| Dose × Sex (γ23) | -9.3 (10) | 0.361 | -73.4 (72.6) | 0.322 |