Friday, 9:30 am to 12:30 pm
Limited seating (to apply: click here)
Recent discussions regarding replicability have stimulated increased emphasis on sufficiently powering studies to obtain effects that are robust to repeated investigation. However, appropriate methods for doing so have historically been under-explained, and many contemporary power analysis packages provide limited, black-box approaches that cannot accommodate commonly-used complex models. This workshop provides straightforward guidelines for designing flexible power simulations (using SPSS, SAS, MPlus, and R) that use researcher-specified parameters to maximize robust and replicable study results.
This workshop is geared toward individuals who have advanced methodological experience and are well versed in basic statistical procedures, including ANOVA, regression, and multilevel modeling. We will be using several statistical packages, and will not be covering the basics of how to utilize these programs. Although syntax will be provided for SPSS, experience with SAS, MPlus, and/or R is preferred in order to be able to follow along with examples. If there are several members of your lab who are interested in participating, we recommend sending the most senior member. We are happy to share all materials so participants can help teach others.