Loading wiki pages...

Wiki Version:
Power Analyses ======= To determine the power and estimate the sample size for the experience sampling method (ESM) studies and longitudinal surveys of the project, we conducted a series of a priori power analyses before data collection, using Monte Carlo simulations in Mplus. Statistical power was estimated using the effect sizes of [the pre-registered pilot ESM study][1]. ## Monte Carlo Simulations ## All syntax files that were used to estimate the power for the ESM Studies and for the Longitudinal Surveys are available in the Monte Carlo Simulations folder. An overview of the rationale behind the power analyses and the outcome of the power analyses is available in the PDF document. [1]: https://osf.io/nhks2/?view_only=34f5c214a29d4010a072b95acb52a14c
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.