The
Office of Faculty Enhancement and
the Quantitative Analysis Faculty
Learning Community introduce
Big Data: Quantitative Analysis Workshops
coming in April 2012. These workshops are designed for faculty who are interested in learning more about recent developments in quantitative analysis and would like to learn how these techniques could be relevant to their research. The Learning Community has organized the two workshops below.
STRUCTURAL
EQUATION MODELING
Friday,
April 6, 2012
1:00p.m. - 3:00 p.m.
1:00p.m. - 3:00 p.m.
Social
Sciences Building (51), Room 1202
Register by emailing drichard@unf.edu
Register by emailing drichard@unf.edu
In this
workshop, Dr. Lakshmi Goel, Assistant Professor of Information Systems, Coggin
College of Business, will provide a basic introduction to Structural Equation
Modeling (SEM) as a second-generation statistical technique for analysis.
Participants will contrast SEM with first generation techniques, such as
regression, and will discuss covariance and partial least squares based
approaches to SEM. Then, using AMOS software and a sample dataset, participants
will engage in a hands-on example of SEM. Researchers in the Social and
Behavioral Sciences, Health Sciences, and in disciplines that deal with large
datasets with many interrelated variables particularly will be interested in
attending.
META-ANALYSIS
Thursday,
April 12, 2012
3:00 p.m. - 5:00 p.m.
3:00 p.m. - 5:00 p.m.
College of Education Building (57), Room 2520
In this
workshop, Dr. Dan Richard, Associate Professor, Psychology, will introduce
meta-analysis as a way to summarize large bodies of research and to conduct
program evaluation. Participants will discuss both fixed-effects and
random-effects approaches to meta-analysis, and will review standard metrics in
meta-analysis (using standardized mean differences and correlation
coefficients) as well as raw metrics. Then, using SPSS and an example dataset,
participants will conduct a small meta-analysis and produce plots to illustrate
results as well as check for publication bias. Researchers in the Sciences,
Education, Health Sciences, and disciplines where research on a topic is
conducted across labs and programs especially will be interested in attending.
For further information, contact Dan
Richard at drichard@unf.edu or Albert Loh
at cloh@unf.edu
No comments:
Post a Comment