Binary relatedness judgments will be analysed using binomial mixed regression in R. The formula is: dv ~ rel.e * notexture + rel.e * noshape + (1 + rel.e || rater_id) + (1 + notexture + noshape || stm_id). The dependent variable is the relatedness judgment, the independent variables are relatedness, 3D image shape and 3D image texture. The rater and stimulus ID are included as random effects and slopes are specified maximally. The analysis script has been attached as a R markdown file.
The anonymous data files are now also uploaded as data collection is finished.