perceptionData {welchADF} | R Documentation |
Number of puzzles 42 students were able to solve
Description
An artificial dataset created by Lix et al. which recreates data reported by a real study on perception and concentration, on which 42 students were given several puzzles to be solved. The students are divided into three balanced groups as they had previously been asked to imagine solving puzzles in the distant future, near future, or not to imagine anything at all (control group).
Usage
perceptionData
Format
A data frame with 42 rows and 2 variables:
- Group
group of the student (what the student was asked to imagine)
- y
number of puzzles the student was able to solve, out of 12
References
Forster, J., Liberman, N., & Friedman, R.S. (2004). Temporal construal effects on abstract and concrete thinking: consequences for insight and creative cognition. Journal of Personality and Social Psychology, 87, 2, 177-189.
Examples
omnibus_LSM <- welchADF.test(perceptionData, response = "y", between.s = "Group")
omnibus_trimmed <- update(omnibus_LSM, trimming = TRUE)
pairwise_LSM <- update(omnibus_LSM, effect = "Group", contrast = "all.pairwise")
pairwise_trimmed <- update(pairwise_LSM, trimming = TRUE, effect.size = TRUE)
summary(omnibus_LSM)
## Not run:
pairwise_trimmed_boot <- update(pairwise_trimmed, bootstrap = TRUE, seed = 12345, numsim_b = 600)
summary(pairwise_trimmed_boot, digits = 6) # digits defaults to max(4, getOption("digits"))
## End(Not run)