get_model_data

<p>Apply participant/phase-level exclusions and then add numeric and
factor predictors to the ratings data.</p>

Data and functions for analyzing and simulating illusory
truth datasets, developed as part of a longitudinal study by
Henderson, Barr, and Simons (2020). The illusory truth effect is
the observation that people rate repeated statements as more
likely to be true than novel statements. We tested the trajectory
of the illusory truth effect by collecting truth ratings for
statements repeated across four time intervals: immediately, one
day, one week, and one month following initial presentation. The
package contains the anonymized data from the study along with
stimulus materials, as well as functions for analyzing the data,
running simulations, and calculating power. Further details about
the project are available at <https://osf.io/nvugt/>, which
includes Stage 1 of the Registered Report at the Journal of
Cognition (<https://osf.io/vqnx2/>).

Dale Barr

truthiness

get_model_data: Get Ratings Data with Model Predictors

Description

Usage

Arguments

Value

See Also

Examples