Home

Menu

Loading wiki pages...

View
Wiki Version:
<p>We will run a Welch's t-test comparing average truth ratings across the anagram and no-anagram conditions. </p> <p>We will first construct a "truth.mean" variable as the mean truth rating across all 15 trials for each participant, and then run the following code in RStudio: </p> <pre class="highlight"><code>t.test(truth.mean~condition)</code></pre> <p><strong>Additional analyses:</strong> </p> <p>For participants in the "anagram" condition, we will run an ANOVA with truth judgements as the DV and Aha! Moments and solving as the IV's.</p> <p>For those in the "anagram" condition we will also run a repeated ANOVA with truth judgements as the DV and Aha! Moments and solving as the IV's, including only subjects who solved at least one anagram but did not solve every anagram, and reported at least one aha moment but not aha moments on every trial.</p> <p>Pearson's correlations between Aha! experiences and truth judgments will be calculated for the anagram condition.</p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.