====== Effect size for ANOVA ====== | Source | Type III \\ Sum of \\ Squares | df | Mean \\ Square | F | Sig. | Eta2 | Etap2 | | Corrected Model | 280 | 5 | 56 | 3.055 | 0.036 | 0.459 | - | | Intercept | 2400 | 1 | 2400 | 130.909 | 0 | | | | DRIVE | 24 | 1 | 24 | 1.309 | 0.268 | 0.039 | 0.068 | | REWARD | 112 | 2 | 56 | 3.055 | 0.072 | 0.184 | 0.253 | | DRIVE * REWARD | 144 | 2 | 72 | 3.927 | 0.038 | 0.236 | 0.304 | | Error | 330 | 18 | 18.333 | | | | | | Total | 3010 | 24 | | | | | | | Corrected Total | 610 | 23 | | | | | | refer to {{:effect_size.xlsx}} ===== eta square ===== __eta square (h2) value__ $ \eta^{2} = \displaystyle \frac {\text{SS}_{\text{treatment}}} {\text{SS}_{\text{total}}} $ \\ Total = 3010 = 24 + 112 + 144 + 330 + 2400 Correct Total = 610 = 24 + 112 + 144 + 330 We use corrected total, 610: DRIVE: 24/610 = 0.039344262 = 0.039 REWARD: 112/610 = 0.183606557 = 0.184 DRIVE*REWARD: 144/610 = 0.236065574 = 0.236 SUM: 0.46 46% of dependent variable is accounted for by the IVs. ===== partial eta square ===== __partial eta square (h2p) value__ $ \eta_{p}^{2} = \displaystyle \frac {\text{SS}_{\text{effect}}} {\text{SS}_{\text{effect}} + \text{SS}_{\text{error}} } $ SSerror = 330 | Effect | SSeffect | SSerror | SSeffect+ SSerror | Etap2 | | Drive | 24 | 330 | 354 | 0.068 | | Reward | 112 | 330 | 442 | 0.253 | | Reward * Drive | 144 | 330 | 474 | 0.304 | ===== omega square =====