sedlmeier_p525

Example 16.2, table 16.1 in Sedlmeier &amp; Renkewitz (2018). Fictitious data set
with 15 boys divided into three groups (no training, boys-specific material,
girls-specific training material). The DV is the number of solved problem
(similar to the training).

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

sedlmeier_p525 function

a data frame with 15 rows and 3 columns<dl>
 <dt>lsg</dt>
<dd>dv, number of solved exercises</dd> <dt>between</dt>
<dd>group, KT=no training, JT=boys-specific, MT=girls-specific</dd> <dt>lambda</dt>
<dd>lambdas used for this example</dd>
</dl>

Format

Problem solving data set by Sedlmeier &amp; Renkewitz (2018) — sedlmeier_p525

a data frame with 15 rows and 3 columns<dl>
 <dt>lsg</dt>
<dd>dv, number of solved exercises</dd>

 <dt>between</dt>
<dd>group, KT=no training, JT=boys-specific, MT=girls-specific</dd>

 <dt>lambda</dt>
<dd>lambdas used for this example</dd>


</dl>

sedlmeier_p525: Problem solving data set by Sedlmeier & Renkewitz (2018)

Description

Usage

Arguments

Format