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. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: Drug Alcohol Depend. 2014 Nov 20;0:52–60. doi: 10.1016/j.drugalcdep.2014.11.003

Table 1.

Multi-model comparison and selection for individual monkeys. The first column specifies the pharmacological or environmental manipulation. Each sub-column gives the AICc of the Null model and the ΔAICc of competing models. A ΔAICc > 4 is significantly better than the Null model. The best model (lowest AICc) is indicated in bold, n is the number of observations and R2 is the proportion of variance accounted for by the best model.

Mean M1452 M1473 M1504 M1488 M1478 M1480 M1412 M1414
D-Amphetamine
 AICc (Null, H0) −428.2 −62.4 −99.4 239.3 −104.5 −57.0 −63.0
 Δ (Full, sm, sp) 602.0 22.4 107.1 −12.9 122.8 262.2 129.0
 Δ (Magnitude, sm) −4.4 18.0 −24.0 −4.4 13.3 3.1 −3.2
 Δ (Price sp) 473.5 15.1 78.2 −1.7 47.1 291.7 167.0
n 15 25 19 25 25 24
R2 0.999 0.983 0.996 0.999 0.991 0.999 0.999
(+)-Phendimetrazine
 AICc (Null, H0) −276.7 −67.6 −50.8 −136.8 −70.3
 Δ (Full, sm, sp) 271.1 57.8 118.1 172.7 46.9
 Δ (Magnitude, sm) 63.5 0.2 131.0 −1.1 −3.3
 Δ (Price sp) 298.2 93.2 89.3 184.5 58.8
n 20 23 25 25
R2 0.991 0.999 0.999 0.999 0.977
(+)-Phenmetrazine
 AICc (Null, H0) −425.8 −106.8 −74.4 −73.8 −104.6 −83.5
 Δ (Full, sm, sp) 163.7 30.7 170.5 3.0 128.1 145.5
 Δ (Magnitude, sm) 58.2 28.2 4.2 4.7 −4.5 144.4
Δ (Price sp) 203.8 30.4 136.0 14.8 139.9 93.1
n 25 25 25 25 25
R2 0.997 0.982 0.999 0.999 0.999 0.997
Extinction
 AICc (Null, H0) −234.5 −30.4 −29.1 −45.0 −33.9
 Δ (Full, sm, sp) 235.6 150.1 83.2 226.4 21.3
 Δ (Magnitude, sm) 13.2 −1.6 −8.4 34.2 3.1
Δ (Price sp) 239.1 157.3 90.5 238.0 18.4
n 15 15 15 15
R2 0.996 0.999 0.999 0.999 0.900

Multi-model comparison and selection for individual monkeys. The first column specifies the pharmacological or environmental manipulation. Each sub-column gives the AICc of the Null model and the ΔAICc of competing models. A ΔAICc > 4 is significantly better than the Null model. The best model (lowest AICc) is indicated in bold, n is the number of observations and R2 is the proportion of variance accounted for by the best model.