Statistics are sometimes scary. Our field has sophisticated ideas that require sophisticated statistical methods. Learning how to use these more advanced statistical methods is empowering, can advance our field, and is actually fun! I aim to teach a variety of more advanced statistical methods relevant to our field in a way anyone can understand, even if you identify as a statistical rookie. In this 12-hour workshop across two days I will introduce: how to work with data (writing syntax to create your data file), various ways to predict individual outcomes (regression) and multiple outcomes (path analysis), how to use latent variables in prediction (structural equation modeling), testing underlying processes (mediation) and contexts of when associations are more/less salient (moderation), how to work with data from couples and families (actor-partner interdependence modeling and common fate modeling), modeling change across time and predicting that expected change (growth curve modeling), and slip in some ideas on handling missing data and common challenges along the way.
- Participants will be introduced to the above listed statistical methods and be able to define what they are and know in what contexts to use them.
- Participants will observe live demonstrations running these statistical methods.
- Participants will receive slides demonstrating step by step how to run these statistical analyses and what output to report to aid them in their own research.
Date and Time
Thursday June 24 & Friday June 25th, 2021Time:
10:00-4:00pm (EST) each day, with 1 hour lunch break
Jared Durtschi, PhD,
is an Associate Professor in Couple and Family Therapy at Kansas State University. Jared has taught statistic courses at K-State, and has presented invited-guest-lectures on statistics at other MFT programs. Further, Jared has mentored 25 PhD students in MFT programs across the country each year over the past 9 years in helping them to learn and use more advanced statistical methods in their research through the AAMFT Minority Fellowship Program. He has received over $3M in external research funding as a Co-PI and has published around 50 articles.