Workshop on Missing Data
Join us for Taste of Methodology, a series of semiannual BRIEF workshops for faculty, with lunch included! The objective is to provide busy faculty with an efficient way to assess a methodological approach’s potential for their research. Join us this semester for
Two Method Measurement (TMM): A Planned Missing Data Design
PRESENTER: John Graham, professor of biobehavioral health and human development and family studies
DATE: Tuesday, May 3, 2016, 10:30 a.m. – 1:30 p.m.
LOCATION: 401 Health and Human Development Building
In research, there is often a trade-off between the validity of a measurement and how expensive it is. TMM allows researchers to make use of both lower cost/lower validity and higher cost/higher validity measurements.
- In some contexts using TMM allows one to conduct research at a cost that is lower than using the expensive measure alone, but with construct validity equivalent to that of the expensive measure.
- In other contexts, TMM can allow valid measurement of a construct for which both the inexpensive and expensive measures have questionable construct validity.
The three-hour workshop will include:
- A conceptual introduction to missing data analysis
- An introduction to the TMM design, including a discussion of the structural equation models used to test TMM models with and without missing data
- Empirical applications of the TMM design
- Open discussion of how the TMM design might be applied in your research
- Resources to enable you or your trainees to learn more
All this and lunch!
Taste of Methodology is co-sponsored by the Social Science Research Institute and the Methodology Center, and is part of SSRI's Innovative Methods Initiative. The workshop is FREE and open to all Ph.D.-level scientists at Penn State. Registration is required and places are limited. To register, email Tammy Knepp (TLKnepp@psu.edu).
References on TMM
Graham, J. W., Taylor, B. J., Olchowski, A. E., & Cumsille, P. E. (2006). Planned missing data designs in psychological research. Psychological Methods, 11, 323-343.
Zawadzki, M. J., Graham, J. W., & Gerin, W. (2012). Increasing the validity and efficiency of blood pressure estimates using ambulatory and clinic measurements and modern missing data methods. American Journal of Hypertension, 25, 764-769.
Graham, J. W., & Shevock, A. E. (2012). Planned Missing Data Design 2: Two-Method Measurement. In J. W. Graham, Missing Data: Analysis and Design. New York: Springer.