maraver

The dataset originates from a between-subjects experiment with N = 120
participants. The experiment aimed to examine whether instructions to imagine
the study material could reduce false memories. Full dataset and analysis
scripts are available at:
<a href="https://osf.io/v8apj/?view_only=9969d17536f54053a72be19c050c4767">https://osf.io/v8apj/?view_only=9969d17536f54053a72be19c050c4767</a>.

datasets

Contrast analysis for factorial designs provides an
alternative to the traditional ANOVA approach, offering the distinct
advantage of testing targeted hypotheses. The foundation of this
package is primarily rooted in the works of Rosenthal, Rosnow, and
Rubin (2000, ISBN: 978-0521659802) as well as Sedlmeier and Renkewitz
(2018, ISBN: 978-3868943214).

Johannes Titz

cofad

Contrast Analyses for Factorial Designs

Markus Burkhardt

Mirka Henninger

Simone Malejka

maraver function

a data frame with 120 rows and 3 variables:<dl>
 <dt>id</dt>
<dd>subject id</dd> <dt>condition</dt>
<dd>experimental condition (imagine, memorize, pay_attention)</dd> <dt>prop_recalled</dt>
<dd>dependent variable</dd>
</dl>

Format

The dataset originates from a between-subjects experiment with N = 120
participants. The experiment aimed to examine whether instructions to imagine
the study material could reduce false memories. Full dataset and analysis
scripts are available at:
<a href='https://osf.io/v8apj/?view_only=9969d17536f54053a72be19c050c4767'>https://osf.io/v8apj/?view_only=9969d17536f54053a72be19c050c4767</a>.

Data from Maraver et al. (2021) — maraver

a data frame with 120 rows and 3 variables:<dl>
 <dt>id</dt>
<dd>subject id</dd>

 <dt>condition</dt>
<dd>experimental condition (imagine, memorize, pay_attention)</dd>

 <dt>prop_recalled</dt>
<dd>dependent variable</dd>


</dl>

maraver: Data from Maraver et al. (2021)

Description

Usage

Arguments

Format