Home

Menu

Loading wiki pages...

View
Wiki Version:
<p>Exclusion criteria for the study involved the following characteristics: </p> <ul> <li>only children – as they cannot be indicative of how siblings judge kinship cues;</li> <li>participants who had any “non-full” siblings (including half-, step-, and adopted siblings) – because observation of the perinatal mother-child relationship is unclear; </li> <li>twins who did not have other full (younger or older) siblings – as birthorder in twins is not related to observation of perinatal mother-baby relationship </li> <li>participants having more than 2 full siblings – following Kaminski et al. (2010)’s paper </li> </ul> <p>Binary relatedness judgments will be analysed using binomial mixed regression in R. The formula is: judgment ~ rel.e * birthorder.e + (1 + rel.e || rater) + (1 + birthorder.e || stim_id). The dependent variable is the relatedness <em>judgment</em> (0 = unrelated, 1 = related), the independent variables are relatedness (<em>rel.e</em> : -0.5 = unrelated, 0.5 = related) and birth order (<em>birthorder.e</em> : -0.5 = firstborn, 0.5 = laterborn). The rater and stimulus ID are included as random effects and slopes are specified maximally. The analysis script has been attached as a R markdown file.</p> <p>The final R analysis script is attached (all non pre-registered exploratory analyses are pointed out clearly), as well as the Power calculation. With 100 participants (50 firstborn/50 laterborn), we have 93% power to detect an interaction between birth order and relatedness with estimate ≅ 0.27 (odds ratio ≅ 1.3) at 5% alpha.</p> <p>As data collection has finished we have now uploaded the data for anyone to run the Analysis script. </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.