Does Choice Increase Ratings of Accessibility and/or Attractiveness?
REGRESSION
To analyze whether accessibility and attractiveness differed between the “no choice” and “choice” condition, we ran 2 separate linear regression models with accessibility and attractiveness as outcome variables, respectively; the predictors were condition (“no choice” v. “choice”; effect coded), representation (numbers v. graphs; effect coded), and graph literacy (centered) and their interactions. Numeracy (centered) was included as a covariate but did not yield any effect on accessibility and attractiveness (with betas being basically zero) and is thus not further discussed in detail here. For both models, the results were similar when running a model with numeracy as predictor and when excluding numeracy as a covariate or predictor. The results are illustrated in Accessibility (a) and attractiveness (b) scores for numbers versus graphs with separate lines for conditions “no choice” and “choice.” Error bars represent 1 standard error of the mean.Participants’ ratings of accessibility did not differ between graphs and numbers (numbers: Participants generally rated graphs as more attractive than numbers (numbers: 