psychotools (version 0.4-0)

SourceMonitoring: Performance in a Source-Monitoring Experiment

Description

Response frequencies of 128 participants who took part in a source-monitoring experiment with two sources.

Usage

data("SourceMonitoring")

Format

A data frame containing 128 observations on four components.

sources

Factor. Sources A and B.

age

Integer. Age of the respondents in years.

gender

Factor coding gender.

y

Matrix containing the response frequencies. The column names indicate the nine response categories:

a.a

Number of source A items judged to be of source A.

a.b

Number of source A items judged to be of source B.

a.n

Number of source A items judged to be new.

b.a

Number of source B items judged to be of source A.

b.b

Number of source B items judged to be of source B.

b.n

Number of source B items judged to be new.

n.a

Number of new items judged to be of source A.

n.b

Number of new items judged to be of source B.

Source

Wickelmaier, F., and Zeileis, A. (2013). A first implementation of recursive partitioning for multinomial processing tree models. Presented at the Psychoco 2013 International Workshop on Psychometric Computing, February 14-15, Zurich, Switzerland.

Details

In a source-monitoring experiment with two sources, participants study items from two different sources, A and B. The final memory test consists of A and B items along with new distractor items, N. Participants are required to classify each item as A, B, or N.

In an experiment at the Department of Psychology, University of Tuebingen, two source conditions were used in the study phase: In the first one, subjects had to read items either quietly (think) or aloud (say). In the second, they wrote them down (write) or read them aloud (say).

The data were analyzed using the multinomial processing tree model of source monitoring (Batchelder & Riefer, 1990).

References

Batchelder, W.H., and Riefer, D.M. (1990). Multinomial processing tree models of source monitoring. Psychological Review, 97, 548-564.

Examples

data("SourceMonitoring", package = "psychotools")
xtabs(~ gender + I(age >= 30) + sources, SourceMonitoring)