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Data Services: Workshop Series

Empower faculty and students with library and other free resources related to data research activities and practical analyses.

Workshop Series

The mission of the University of Alabama Libraries Data Services Workshop Series (DSWS) is to create an environment where faculty, students, and staff at the University of Alabama (UA) can receive training in data science research methods. The DSWS facilitates an exchange of knowledge across research disciplines and provides cutting-edge analytics training to prepare UA scholars to meet the rigorous requirements of advanced research in the 21st century. The workshops are offered by faculty members on diverse topics from introductory data visualization to practical approaches in machine learning. Whether new to data analytics or a seasoned researcher, the DSWS will provide valuable opportunities to acquire the skills requisite for data science research.

Affiliated Faculty Members

Primary Contact

Dr. Zhehan Jiang
Assistant Professor
University Libraries 

Affiliated Faculty

Dr. Aibek Musaev
Assistant Professor
Department of Computer Science

Dr. Anneliese Bolland
Associate Research Scientist
Institute for Communication and Information Research

Dr. David Keelings
Assistant Professor
Department of Geography

Dr. Evguenia Malaia
Associate Professor 
Communicative Disorders 

Dr. Jane Daquin
Assistant Professor
Department of Criminology & Criminal Justice 

Dr. Johanna Engström
Geospatial Services Manager
Department of Geography

Dr. Kevin Walker
Associate Professor
University Libraries

Dr. Vincent Scalfani
Associate Professor
University Libraries 

Dr. Wei Li
Assistant Professor
Educational Research

Dr. Wenchao Ma
Assistant Professor
Educational Research

Dr. Zhe Jiang
Assistant Professor
Department of Computer Science

Event Announcement

October 17th, 2019 3:00-4:30 pm @ Gorgas Library 204F

Hands-On Power Analysis for Randomized Controlled Trials

Over the last ten years, there has been an increasing interest in assessing the effects of interventions via randomized controlled trials (RCTs). A principal consideration in the design of RCTs is the power or probability with which a study can detect effects if they exist. Many funding agencies require power analysis in the grant proposals. As set forth in the “Common Guidelines for Education Research and Development”:

The three types of Impact Research [efficacy, effectiveness, and scale-up research, denoted by the proposal writers] share many similarities of approach, including,…, adequate statistical power to detect effects, …” (U.S. Department of Education & National Science Foundation [NSF], 2013, p.9).

Also, the Institute of Education Sciences (IES) now requires describing plan for cost-effectiveness (or cost-benefit) analysis for Development and Innovation (Goal 2) and Initial Efficacy and Follow-Up (Goal 3) grants and analysis of key moderators for Effectiveness (Goal 4) grants.

This workshop demonstrates power analysis tools that compute statistical power, minimum detectable effect sizes (MDES), and minimum required sample sizes (MRSS) for RCTs. The examples from the NSF and IES funded projects are used to illustrate power analysis. This workshop will cover:

  1. A brief review of basic concepts and multilevel models
  2. Introduction of PowerUp! (Dong & Maynard, 2013), PowerUp!-Moderator (Dong, Kelcey, Spybrook, & Maynard, 2017), and PowerUp!-CEA (Li, Dong, & Maynard, 2019). All are available from http://www.causalevaluation.org/.
  3. Power analysis demonstration in PowerUp!, PowerUp!-Moderator, and PowerUp!-CEA.
  4. Power analysis in the grant proposals.

You are strongly encouraged to bring your laptops.

 

About the Instructor

Wei Li is an Assistant Professor of Quantitative Research at the University of Alabama. Dr. Li's research interests include the development and application of experimental and quasi-experimental (causal inference) methods to issues in education and policy studies. His methodological work involves statistical power analysis for longitudinal experimental designs and multilevel randomized cost-effectiveness trials. His substantive work encompasses research on class size effects, teacher effects, school effectiveness and school improvement, the effectiveness of online learning and teaching, and effects of interim assessment on student achievement.

Please RSVP here with code 10172019.
 

Future Events

Hands-On Power Analysis for Randomized Controlled Trials

Date: Thursday, October 17, 2019
Time: 3:00pm-4:30pm 
Location: Gorgas 204F
Instructor: Dr. Wei Li

Archived Events

What is GIS and how can it boost your research
Date: Thursday, February 21, 2019
Time: 1:00pm - 3:00pm
Location: Gorgas 104
Instructor: Dr. Johanna Engstrom

Data Visualization in R (level I)
Date: Wednesday, March 6, 2019
Time: 2:00pm - 4:00pm
Location: Gorgas 104
Instructor: Dr. Zhehan Jiang

Hands-on R (level I)
Date: Thursday, March 28, 2019
Time: 2:00pm - 4:00pm
Location: Gorgas 104
Instructor: Dr. David Keellings

Applied Cognitive Diagnostic Modeling 
Date: Thursday, April 11, 2019
Time: 2:00pm - 4:00pm
Location: Gorgas 104
Instructor: Dr. Wenchao Ma

Intro to Bayesian Statistics 
Date: Thursday, April 18, 2019
Time: 3:45pm - 4:45pm
Location: Gorgas 104
Instructor: Dr. Evie A. Malaia

An Introduction to Qualitative Interviewing 
Date: Thursday, September 16, 2019
Time: 3:45pm - 5:00pm
Location: Gorgas 204F
Instructor: Dr. Stephanie Shelton

See more archived events here

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