R/rattan.R

In gitrman/itns: Datasets from the book Introduction to the New Statistics

#'One Way Design - Rattan
#'
#'An example dataset used in Chapter 14 of the book \emph{Introduction to the 
#'New Statistics}.
#'
#'How do you think you would react to feedback that gave encouragement and 
#'reassurance, or, instead, encouragement and challenge? Carol Dweck and her 
#'colleagues have investigated many such questions about how people respond to 
#'different types of feedback. This data set comes from Dweck's research group.
#'Rattan et al. (2012) asked their college student participants to imagine they
#'were undertaking a math course and had just received a low score (65%) on the
#'first test of the year. Participants were assigned randomly into three groups,
#'which received different feedback along with the low score. The Comfort group
#'received positive encouragement and also reassurance, the Challenge group
#'received positive encouragement and also challenge, and the Control group
#'received just the positive encouragement. Participants then responded to a
#'range of questions about how they felt about the course and their professor.
#'The dependent variable included here is ratings of their own motivation
#'towards mathematics after they had received the feedback.
#'
#'@format A data frame with 51 rows and 2 variables: \describe{ 
#'  \item{group}{Factor with three levels - \emph{challng}, \emph{comfort}, \emph{control}} 
#'  \item{motivation}{Student motivation score (dependent variable)} }
#'  
#'@source You can find the materials and data on the Open Science Framework: 
#'  \url{https://osf.io/xtkve}
#'  
#'@references Cumming, G., & Calin-Jageman, R. (2017). \emph{Introduction to the
#'  New Statistics}. New York; Routledge.
#'  
#'@references Rattan, A., Good, C., & Dweck, C. S. (2012). "It's ok - Not everyone 
#'can be good at math": Instructors with an entity theory comfort (and demotivate) 
#'students. \emph{Journal of Experimental Social Psychology, 48}, 731-737.
#'
"rattan"