prm09: PRM09 Data

In hbmem: Hierarchical Bayesian Analysis of Recognition Memory

PRM09 Data

Description

Confidence ratings data from Pratte, Rouder, and Morey (2009).

Usage

data(prm09)

Format

A flat-field data frame (each row is a trial) with the following variables

cond

0=new; 1=studied

sub

index of subject starting at 0

item

index of item starting at 0

lag

index of lag, zero-centered

resp

which response was made; 0="sure new"

Details

Participants studied a list of 240 words, and were then tested on the 240 studied and on 240 new words. At test, participants made one of six confidence ratings ranging from "sure new" to "sure studied". Note that to apply the models to these data the "Scond" variable should be set to “cond", and the "cond" variable should be all zeros. This is a backwards-compatibility issue.

Source

Pratte, Rouder, and Morey (2009). Separating Mnemonic Process from Participant and Item Effects in the Assessment of ROC Asymmetries. Journal of Experimental Psychology: Learning, Memory, and Cognition.

Examples

library(hbmem)
data(prm09)
table(prm09$resp,prm09$cond)
#Turn it into data suitable for
#analysis with HBMEM functions:
newdat=prm09
newdat$Scond=newdat$cond
newdat$cond=0
summary(newdat)

hbmem documentation built on Aug. 23, 2023, 1:10 a.m.