rosenthal_p141

Fictitious example corresponding to aggregated data set on p. 141 in
Rosenthal and Rosnow (2000)

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

rosenthal_p141 function

a data frame with 12 rows and 4 columns<dl>
 <dt>id</dt>
<dd>unique identifier of participant</dd> <dt>dv</dt>
<dd>dependent variable</dd> <dt>within</dt>
<dd>within variable</dd> <dt>between</dt>
<dd>between variable</dd>
</dl>

Format

Data set by Rosenthal and Rosnow (2000) — rosenthal_p141

a data frame with 12 rows and 4 columns<dl>
 <dt>id</dt>
<dd>unique identifier of participant</dd>

 <dt>dv</dt>
<dd>dependent variable</dd>

 <dt>within</dt>
<dd>within variable</dd>

 <dt>between</dt>
<dd>between variable</dd>


</dl>

rosenthal_p141: Data set by Rosenthal and Rosnow (2000)

Description

Usage

Arguments

Format