akan

Data contains information from a within-subjects experiment with N = 90
participants. The goal of the experiment was to investigate the benefits of
retrieval practice on memory performance. For the entire dataset and analysis
scripts see: <a href="https://osf.io/bqr5f/">https://osf.io/bqr5f/</a>. The data was licensed under CC-BY
4.0 Melisa Akan, Aaron Benjamin.

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

akan function

a data frame with 270 rows and 3 variables:<dl>
 <dt>subject</dt>
<dd>subject id</dd> <dt>condition</dt>
<dd>experimental condition (test, restudy, control)</dd> <dt>contexts</dt>
<dd>dependent variable</dd>
</dl>

Format

Data contains information from a within-subjects experiment with N = 90
participants. The goal of the experiment was to investigate the benefits of
retrieval practice on memory performance. For the entire dataset and analysis
scripts see: <a href='https://osf.io/bqr5f/'>https://osf.io/bqr5f/</a>. The data was licensed under CC-BY
4.0 Melisa Akan, Aaron Benjamin.

Data from Akan et al. (2018), experiment 2B — akan

a data frame with 270 rows and 3 variables:<dl>
 <dt>subject</dt>
<dd>subject id</dd>

 <dt>condition</dt>
<dd>experimental condition (test, restudy, control)</dd>

 <dt>contexts</dt>
<dd>dependent variable</dd>


</dl>

akan: Data from Akan et al. (2018), experiment 2B

Description

Usage

Arguments

Format