About My Teaching...

I have a strong passion for the instruction of quantitative methods, and my teaching philosophy is simple: I believe in a mastery approach to learning. Further, I recognize that students are often equation-phobic or otherwise intimidated by advanced methods courses, and so my teaching materials and practices are designed to help all students gain knowledge of and confidence with these methods. As a result, my methods are strongly focused on helping students grasp the “big picture” of what statistical models are designed to do and how to use them responsibly. I have found that greater understanding of the technical aspects comes much more easily if students can keep this big picture in mind when reading statistical texts and working through exercises. I believe that even the most complex models can be explained in a simple and succinct language understandable to a broad audience. Yet making the material accessible should never be confused with “dumbing down” the material – the exemplary quality of the work my students do refutes this claim. To facilitate student learning, in addition to textbooks and readings, I provide a comprehensive, unique set of course materials – approximately 150-250 pages of lectures notes and annotated examples each semester (freely available online). More importantly, my course materials come directly from my own experiences in researching these models and in applying them to real data, which allows me to go in-depth into some of the thornier issues that can be glossed over in textbooks. Further, in building my materials, the process of finding new and better ways of explaining model concepts continues to help solidify my own knowledge base.

Follow the links below for lecture materials and video recordings of my most recent classes. I hope they are useful!

Courses at the University of Kansas:

CLP 948 Fall 2016:
Latent Trait Measurement and Structural Equation Models

CLP 945 Spring 2016:
Advanced Multilevel Models

CLP 944 Fall 2015:
Multilevel Models for Longitudinal and Repeated Measures Data

SPLH 861 Fall 2014:
Applied Quantitative Methods

Resources for SAS computing at KU:

How to Use the KU Advanced Computing Facility (last updated 5/15/2015)
STATA test files
SAS test files
Link to SAS University Edition

Most Recent Versions of Courses at the University of Nebraska-Lincoln:

Summer Workshop 2014:
Introduction to Multilevel Models for Longitudinal and Repeated Measures Data

PYSC 930 Summer 2013:
Make Friends with SAS

PSYC 930 Summer 2013:
Generalized Models

PSYC 943 Fall 2012:
Fundamentals of Multivariate Modeling (with Jonathan Templin)

Psychology 944 Spring 2013:
Multilevel Models for Longitudinal and Repeated Measures Data

Psychology 945 Spring 2014:
Advanced Multilevel Models

Psychology 948 Spring 2014:
Latent Trait Measurement and Structural Equation Models