Table 3.
Model | AIC | BIC | Marg. R2 | Cond. R2 | Model fit improvement | |
---|---|---|---|---|---|---|
χ2(df) | p | |||||
Dependent variable: IOS | ||||||
M0: IOS null model | 18,574 | 18,596 | .248 | |||
M1: IOS ~ movement (vs. M0) | 17,449 | 17,477 | .323 | .601 | 1127(1) | <.001 |
M2: IOS ~ movement + music (vs. M1) | 17,441 | 17,474 | .341 | .600 | 10.21(1) | .001 |
M3: IOS ~ movement × music (vs. M2) | 17,443 | 17,482 | .341 | .600 | 0.17(1) | .681 |
M4: IOS ~ movement + music + empathy (vs. M2) | 17,435 | 17,474 | .354 | .601 | 7.41(1) | .006 |
M5: IOS ~ movement + music × empathy (vs. M4) | 17,437 | 17,482 | .354 | .601 | 0.09(1) | .762 |
M6: IOS ~ movement × music + empathy (vs. M4) | 17,437 | 17,482 | .354 | .601 | 0.17(1) | .681 |
M7: IOS ~ movement × empathy + music (vs. M4) | 17,416 | 17,461 | .358 | .605 | 21.45(1) | <.001 |
M8: IOS ~ movement × empathy × music (vs. M7) | 17,422 | 17,483 | .358 | .605 | 0.28(3) | .965 |
Dependent variable: well-being | ||||||
M0: Well-being null model | 17,789 | 17,811 | .352 | |||
M1: Well-being ~ movement (vs. M0) | 17,358 | 17,386 | .128 | .492 | 432(1) | <.001 |
M2: Well-being ~ movement + music (vs. M1) | 17,350 | 17,383 | .203 | .486 | 10.54(1) | .001 |
M3: Well-being ~ movement × music (vs. M2) | 17,351 | 17,390 | .203 | .486 | 0.45(1) | .502 |
M4: Well-being ~ movement + music + empathy (vs. M2) | 17,347 | 17,386 | .212 | .487 | 4.69(1) | .030 |
M5: Well-being ~ movement + music × empathy (vs. M4) | 17,349 | 17,394 | .212 | .487 | 0.01(1) | .954 |
M6: Well-being ~ movement × music + empathy (vs. M4) | 17,349 | 17,393 | .212 | .487 | 0.45(1) | .502 |
M7: Well-being ~ movement × empathy + music (vs. M4) | 17,346 | 17390 | .212 | .488 | 3.45(1) | .063 |
M8: Well-being ~ movement × empathy × music (vs. M4) | 17,351 | 17,412 | .212 | .488 | 4.06(4) | .398 |
AIC: Akaike information criterion; BIC: Bayesian information criterion; IOS: inclusion of other in the self.
All models included random effects for participants and stimuli. The Akaike information criterion (AIC), Bayesian information criterion (BIC), variance explained by fixed effects (marginal R2), and variance explained by fixed and random effects (conditional R2) are provided. χ2 and p values refer to model comparisons against models indicated in parentheses using likelihood ratio tests. The models that describe the data best are marked in bold.