Publication Package: A longitudinal study of multidimensional prosocial behavior during adolescence

<p>This is a publication package for the article ‘A longitudinal study of multidimensional prosocial behavior during adolescence’, which can be found here: <a href="https://doi.org/10.1111/cdev.70009" target="_blank">https://doi.org/10.1111/cdev.70009</a>.</p> <p><br></p> <p>This study examines the distinct developmental trajectories of prosocial and rebellious behaviors in adolescence. Using data from an accelerated three-wave project (2018–2022) among adolescents aged 9–22 years (<em>N</em> = 142, 63% female, middle-high SES, white European descent), trajectories of prosocial actions toward friends and peers, prosocial tendencies across multiple situations, giving to charities, and general social value orientation were examined. By examining age-, puberty-, and hormonal-related trajectories, the study demonstrates increases in prosocial behaviors to friends and peers, dire and compliant behavior, and charitable giving, which were more strongly explained by pubertal maturation than age. Public prosocial behavior decreased with age. The results confirm the multidimensionality of prosocial behavior, demonstrate correlations with rebelliousness, and show that prosocial behavior is context-dependent.</p> <p><br></p> <p>This study is part of the Brainlinks study, an experimental accelerated longitudinal cohort study examining the development of multidimensional prosocial behaviors from a brain-behavior perspective. More information about the project can be found here: <a href="https://erasmus-synclab.nl/project/brainlinks/" target="_blank">https://erasmus-synclab.nl/project/brainlinks/.</a></p> <p><br></p> <p>The publication package contains study information, measures, computer code, and data files. The computer code and data files are organized by study aim:</p> <ul> <li>General – dataset and syntax for data cleaning and checks (SPSS)</li> <li>Study aim 1 – dataset and syntax for linear mixed models (R)</li> <li>Study aim 2 univariate LGC models - datasets, syntaxes and read me files for univariate LGC models (Mplus)</li> <li>Study aim 2 bivariate LGC models – dataset, syntax and read me file for bivariate LGC models (Mplus)</li> </ul> <p>The preregistration of the article can be found here: <a href="https://osf.io/p32jq/" target="_blank">https://osf.io/p32jq/</a>.</p> <p>For an overview of the study design and measures, see our OSF page <a href="https://osf.io/h5x2a/" target="_blank">https://osf.io/h5x2a/</a>.</p>