expBelief

\@format A data frame with 400 observations of 16 variables:<dl>
<dt>pid</dt>
<dd>Participant ID</dd><dt>exptrNum</dt>
<dd>Experimenter Number</dd><dt>age</dt>
<dd>Participant age in years</dd><dt>gender</dt>
<dd>Participant self-reported gender</dd><dt>yearInUni</dt>
<dd>Year in University</dd><dt>ethnicity</dt>
<dd>Self-reported ethnicity</dd><dt>englishFluency</dt>
<dd>Self-reported English fluency (1=beginner; 7=native language)</dd><dt>experimenterBelief</dt>
<dd>Experimenter Belief (H: High or L: Low)</dd><dt>primeCond</dt>
<dd>Actual Prime Condition (HPP: High-power prime or LPP: low-power prime)</dd><dt>powerPRE</dt>
<dd>Self-reported power BEFORE the manipulation</dd><dt>powerPOST</dt>
<dd>Self-reported power AFTER the manipulation</dd><dt>ApproachAdvantage</dt>
<dd>Approach advantage (Avoid RT - Approach RT; see manuscript)</dd><dt>attractive</dt>
<dd>Rating of experimenter ATTRACTIVENESS</dd><dt>competent</dt>
<dd>Rating of experimenter COMPETENCE</dd><dt>friendly</dt>
<dd>Rating of experimenter FRIENDLINESS</dd><dt>trustworthy</dt>
<dd>Rating of experimenter TRUSTWORTHINESS</dd>
</dl>

datasets

Data sets and functions to support the books "Statistics: Data
analysis and modelling" by Speekenbrink, M. (2021)
<https://mspeekenbrink.github.io/sdam-book/> and "An R companion to
Statistics: data analysis and modelling" by Speekenbrink, M. (2021)
<https://mspeekenbrink.github.io/sdam-r-companion/>. All datasets
analysed in these books are provided in this package. In addition, the
package provides functions to compute sample statistics (variance,
standard deviation, mode), create raincloud and enhanced Q-Q plots, and
expand Anova results into omnibus tests and tests of individual
contrasts.

Maarten Speekenbrink

sdamr

Statistics: Data Analysis and Modelling

expBelief function

An object of class <code>data.frame</code> with 400 rows and 16 columns.

Format

\@format A data frame with 400 observations of 16 variables:<dl>
<dt>pid</dt>
<dd>Participant ID</dd>

<dt>exptrNum</dt>
<dd>Experimenter Number</dd>

<dt>age</dt>
<dd>Participant age in years</dd>

<dt>gender</dt>
<dd>Participant self-reported gender</dd>

<dt>yearInUni</dt>
<dd>Year in University</dd>

<dt>ethnicity</dt>
<dd>Self-reported ethnicity</dd>

<dt>englishFluency</dt>
<dd>Self-reported English fluency (1=beginner; 7=native language)</dd>

<dt>experimenterBelief</dt>
<dd>Experimenter Belief (H: High or L: Low)</dd>

<dt>primeCond</dt>
<dd>Actual Prime Condition (HPP: High-power prime or LPP: low-power prime)</dd>

<dt>powerPRE</dt>
<dd>Self-reported power BEFORE the manipulation</dd>

<dt>powerPOST</dt>
<dd>Self-reported power AFTER the manipulation</dd>

<dt>ApproachAdvantage</dt>
<dd>Approach advantage (Avoid RT - Approach RT; see manuscript)</dd>

<dt>attractive</dt>
<dd>Rating of experimenter ATTRACTIVENESS</dd>

<dt>competent</dt>
<dd>Rating of experimenter COMPETENCE</dd>

<dt>friendly</dt>
<dd>Rating of experimenter FRIENDLINESS</dd>

<dt>trustworthy</dt>
<dd>Rating of experimenter TRUSTWORTHINESS</dd>


</dl>

Data from Experiment 5 of Gilder, T. S. E., &amp; Heerey, E. A. (2018). The Role of Experimenter Belief in Social Priming. Psychological Science, 29(3), 403–417. — expBelief

Data from Experiment 5 of Gilder, T. S. E., &amp; Heerey, E. A. (2018). The Role of Experimenter Belief in Social Priming. Psychological Science, 29(3), 403–417.

expBelief: Data from Experiment 5 of Gilder, T. S. E., & Heerey, E. A. (2018). The Role of Experimenter Belief in Social Priming. Psychological Science, 29(3), 403–417.

Description

Usage

Arguments

Format