Teaching

Description of Teaching

 

I currently teach graduate courses in research methods in the Graduate School of Education and Human Development at The George Washington University. The courses I teach regularly include: EDUC 6116 (Introduction to Educational Statistics), EDUC 8120 (Group Comparison and Design Analyses), EDUC 8171 (Predictive Analyses), and EDUC 8173 (Structural Equation Modeling). I also teache a 1-credit series of courses about Data Management and Factor Analysis.

Prior to my current position at GW I spent several years teaching undergraduate courses in the Department of Measurement, Statistics, and Evaluation at the University of Maryland. During this time period I taught upper-level undergraduate courses in classroom assessment and measurement (EDMS 410) and introductory statistics (EDMS 451). While these courses were oriented towards the undergraduate level, both courses also contained several graduate students. In 2008, I received a Distinguished Teaching Assistant Award from the Center for Teaching Excellence at the University of Maryland for my contribution as an instructor.

In Fall 2008, with the assistance of a professor in the EDMS Department, I assisted in implementing a Teaching Mentorship Program in which an upper-level student serves as a “mentor instructor” for potential new students. The Teaching Mentorship Program is a four-stage program in which graduate students who have expressed an interest in teaching an EDMS undergraduate course, progress through a hierarchy of four levels of teaching including: a trainee working closely with a mentor instructor, a first-semester instructor, an instructor, and then finally a mentor instructor. Under this new program I served as the first mentor instructor for the 2008 to 2009 academic year. My responsibilities in this role included mentoring trainees on methodology, procedures, course materials, lecture development, student assessment, the use of Blackboard in the classroom, and addressing student concerns. In Spring 2009, I co-authored and was awarded a grant for the Teaching Mentorship Program from the Center for Teaching Excellence at the University of Maryland.

Courses Currently Taught in GSEHD

 

click courses to view syllabi from previous semesters

EDUC 8173 (Structural Equation Modeling; doctoral level)
EDUC 8171 (Predictive Analyses; doctoral level)
EDUC 8120 (Group Comparisons and Designs; doctoral level)
EDUC 8100 (Data Management #1; doctoral level)
EDUC 8100 (Data Management #2; doctoral level)
EDUC 8100 (Factor Analysis; doctoral level)
EDUC 6116 (Introduction to Educational Statistics; graduate level)

disclaimer: syllabi are tentative and thus dates/contents/assessments/etc. may change across semesters

Selected Invited Lectures

Selected Invited LecturesUpdated January 2013

 

Weiss, B. A. (2013, January). Oh No! My Hypothesis was Unsupported: The Presence of Interaction Effects. Presented at The George Washington University Graduate School of Education and Human Development Ecology of Education Series.

Weiss, B. A. (2011, November). Model specification issues with the latent variable interaction model. Presented at The University of Maryland.

Weiss, B. A. (2011, April). Bats are not blind, and all variables are not linearly related: Interactions and nonlinear relations in educational research. Presented at The George Washington University Department of Educational Leadership Faculty Research Colloquium.

Weiss, B. A. (2011, March). Socratic discussion on structural equation modeling. Presented at The George Washington University Educational Symposium for Research and Innovations.

Weiss, B. A. (2010, November). Transitioning from the measured world to the latent world with interaction effects. Presented at The George Washington University Brownbag for Graduate Assistants.