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\name{PairClustering}
\alias{PairClustering}
\title{Pair Clustering Data in Klauer (2006)}
\description{
Response frequencies of 63 participants who took part in a pair-clustering
experiment.
}
\usage{data("PairClustering")}
\format{
A data frame containing 126 observations on 8 variables.
\describe{
\item{ID}{Participant ID.}
\item{trial}{Trial number, 1 or 2.}
\item{E1}{Number of pairs recalled adjacently.}
\item{E2}{Number of pairs recalled non-adjacently.}
\item{E3}{Number of single pair members recalled.}
\item{E4}{Number of non-recalled pairs.}
\item{F1}{Number of recalled singleton words.}
\item{F2}{Number of non-recalled singleton words.}
}
}
\details{
Klauer (2006) reports a pair-clustering experiment with 63 participants,
who were presented with ten pairs of related words and five unrelated
singleton words. In a later memory test, they freely recalled the presented
words. This procedure was repeated for two study and test trials. For pairs,
responses were classified into four categories: both words in a pair are
recalled adjacently (E1) or non-adjacently (E2), one word in a pair is
recalled (E3), neither word in a pair is recalled (E4); for singletons, into
two categories: word recalled (F1), word not recalled (F2).
}
\source{
Stahl C, Klauer KC (2007).
HMMTree: A Computer Program for Latent-Class Hierarchical Multinomial Processing Tree Models.
\emph{Behavior Research Methods}, \bold{39}, 267--273.
}
\references{
Klauer KC (2006).
Hierarchical Multinomial Processing Tree Models: A Latent-Class Approach.
\emph{Psychometrika}, \bold{71}, 1--31.
}
\examples{
data("PairClustering", package = "psychotools")
aggregate(cbind(E1, E2, E3, E4, F1, F2) ~ trial, PairClustering, sum)
}
\keyword{datasets}
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