An Applied Structural Equation Modeling Intensive
Organization: University of Colorado College of Nursing
|Event Date/Time: Jun 18, 2013 / 8:00 am - (MST)||End Date/Time: Jun 21, 2013 / 2:30 pm - (MST)|
|Registration Date: Jun 17, 2013||Time: 00:00:00 - (MST)|
|Early Registration Date: May 15, 2013||Time: 00:00:00 - (MST)|
Nursing and other health science researchers are using new models for measurement with new programs for data analysis. This three day intensive will provide in-depth instruction on how to apply Structural Equation Modeling (SEM) to health science research. The content is designed for researchers who are using SEM and seeking to improve their skills in its application, and also those new to SEM. An optional session for individual consultation with the course faculty will be available on the fourth day (separate additional fee applies). Attendees choosing this optional day need to bring their own research data to use in the consultation.
This conference will be of interest to nurse researchers, PhD students, post-doctoral fellows and other health and behavioral science researchers who are interested in using Structural Equation Modeling (SEM) in their research.
Continuing Education Credit
The University of Colorado College of Nursing is an accredited provider of continuing nursing education by the Colorado Nurses Association, an accredited approver by the American Nurses Credentialing Center's Commission on Accreditation. This educational activity for 21.0 nursing contact hours is provided by the University of Colorado College of Nursing.
CU College of Nursing Course Faculty
Karen H. Sousa, PhD, RN, FAAN Dr. Sousa is a Professor and Associate Dean for Research and Scholarship at the CON. As an outcomes researcher, she promotes Structural Equation Modeling as a method for cluster analysis, instrument development, and theory confirmation and construct validation. Her research focus area is the determinants of HRQOL.
Paul Cook, PhD Dr. Cook is a licensed psychologist with 15 years of experience in data analysis and has taught multivariate statistics and quantitative methods at the graduate/PhD level since 2000. He provides consultation to doctoral students on the statistical aspects of their research through his role as the Director of the College of Nursing Center for Nursing Research.
Sarah Schmiege, PhD Dr. Schmiege is an Assistant Professor in the Department of Biostatistics and Informatics and serves as the statistician for the CON. She has collaborated wtih faculty as the lead statistician on several grants. She has consulted extensively on topics related to SEM and has experience applying it across a range of health-related studies.
Course Objectives: At the end of this educational program, participants should be able to:
- Define structural equation modeling (SEM) and it's language
- Determine research questions that are appropriate for SEM
- Review regression analysis and its relationship to SEM
- Interpret structural equation models
- Practice both exploratory and confirmatory factor analysis
- Practice the use of AMOS and MPlus in the estimation of models
Tuesday June 18th, 8:30 am - 5:00 pm
- Introduction to Structural Equation Modeling
- Review of Regression Analysis
Wednesday June 19th, 8:00 am - 5:00 pm
- Exploratory and Confirmatory Factor Analysis
Thursday June 20th, 8:00 am - 5:00 pm
- Integrating Concepts to Research Topics
- Mediation Analysis
- Longitudinal Growth Curve Modeling
Friday June 21st, 8:30 am - 2:30 pm Individual Project Consultation - Spaces are Limited!
This special additional session requires payment of a separate fee of $300.00. Participants should bring their research data with them if they choose this option.