PairClustering: Pair Clustering Data in Klauer (2006)

In psychotools: Psychometric Modeling Infrastructure

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.

ID

Participant ID.

trial

Trial number, 1 or 2.

E1

Number of pairs recalled adjacently.

E2

Number of pairs recalled non-adjacently.

E3

Number of single pair members recalled.

E4

Number of non-recalled pairs.

F1

Number of recalled singleton words.

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. Behavior Research Methods, 39, 267–273.

References

Klauer KC (2006). Hierarchical Multinomial Processing Tree Models: A Latent-Class Approach. Psychometrika, 71, 1–31.

Examples

data("PairClustering", package = "psychotools")
aggregate(cbind(E1, E2, E3, E4, F1, F2) ~ trial, PairClustering, sum)

psychotools documentation built on May 29, 2024, 8:12 a.m.