Loading wiki pages...

Wiki Version:
<p>Once the data for all 250 participants are in, we will remove data from participants that are non-native speakers of English. We will also remove data from participants that participated in Exp 1-3. Finally, we will remove data from participants that have reading times faster than 0.05 seconds per word. Reading times will be checked for all four parts of the story. When at least one part of the story is read too fast, we will remove all the data from this participant. If removing participants leads to less than 102 participants per condition, we will collect additional data until this criterium is met. In case of an unequal number of participants in the conditions, we will remove the last run participants of the condition with the most participants until both groups have the sample size.</p> <p>For each participant we will calculate a score for the number of correct responses to the source memory statements and a score for the number of correct responses to the textbase statements. The data will be analyzed by a 2 (indirect vs. direct speech) X 2 (source vs. content memory) mixed ANOVA, with speech as a between-subjects and memory as a within-subjects factor. These analyses will be followed up with frequentist and Bayesian t-tests.</p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
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.

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.