furr_p4

fictitious data set on empathy ratings of students from different majors

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

furr_p4 function

a data frame with 20 rows and 2 columns<dl>
 <dt>empathy</dt>
<dd>Empathy rating</dd> <dt>major</dt>
<dd>major of student</dd>
</dl>

Format

Empathy data set by Furr (2004) — furr_p4

a data frame with 20 rows and 2 columns<dl>
 <dt>empathy</dt>
<dd>Empathy rating</dd>

 <dt>major</dt>
<dd>major of student</dd>


</dl>

furr_p4: Empathy data set by Furr (2004)

Description

Usage

Arguments

Format