Table S1 from Emotion appraisal dimensions inferred from vocal expressions are consistent across cultures: a comparison between Australia and India
NordstrÃ¶mHenrik
LaukkaPetri
ThingujamNutankumar S.
SchubertEmery
Anger ElfenbeinHillary
2017
All data from the Bayesian analysis. Variable description: dimension = appraisal dimension; emotion = emotion category; speaker = culture of the speaker; listener = culture of the listener; ingroup = true if the speaker and the listener were from the same culture; n_ratings = number of ratings; mean = mean rating; sd = standard deviation of the ratings; SE = standard error of the ratings; predicted = appraisal prediction; tails = 1 if there was a prediction, two if there was no prediction; HD = highest density of the posterior distribution of the ratings; ci95ll and ci95ul = lower and upper limit of the 95% credible interval of the ratings; BF = Bayes Factor of the appraisal prediction over a population mean close to zero; support = indicates what hypothesis gained support by the Bayes Factor; diff = difference between in- and out-group ratings; SE_diff = standard error of the difference between in- and out-group ratings; HD_diff = highest density of the posterior distribution of the difference between in- and out-group ratings; ci95ll_diff and ci95ul_diff = lower and upper limit of the 95% credible interval of the difference between in- and out-group ratings; BF_diff = Bayes Factor of the prediction that there was a difference between in- and out-group ratings over a difference close to zero; support_diff = indicates what hypothesis was supported by the Bayes Factor.