The Research Design and Statistics Consulting Lab (RDSCL) is a consulting resource open to University faculty, staff and students, as well as community partnerships. We offer consultation on a variety of aspects of the research process. We are designed to serve as an adjunct to individual academic departments within The University of Alabama. We offer a variety of services ranging from technical assistance in student or faculty projects to serving as statisticians and methodologists on grant and other proposal development. Students should be aware that our approach is to make this a learning process; therefore, we will work with you to assist you in understanding and learning how to analyze data, but we will not do it for you.
We encourage students and faculty to make use of ISSR consultation services in connection with their research endeavors. For more information or to schedule an appointment, please contact a member of our team.
We, along with other ISSR staff, provide consulting in an array of methods and statistical topics, such as
- Data cleaning and management
- Data archiving
- Survey and instrument design
- Program evaluation
- Single case designs
- Experimental and quasi-experimental methodology
- Developmental research methods
- Implementation of online research methods (e.g., Qualtrics, Surveymonkey, MTurk)
- Grant proposal development
- Power analysis
- Formulation of research questions and implementation of descriptive statistics
- Basic parametric (e.g., ANOVA, regression) and non-parametric statistics
- Mediation and moderation analysis
- Structural equation modeling and path analysis
- Factor analysis and associated scale development analyses
- Cluster, discriminant functioning, and associated analyses
- Inter-rater reliability
- Data-driven approaches to qualitative coding
Please note that if we do not have expertise in the type of approach you need, we will make every effort to link up with an expert who does. Feel free to contact us to schedule a meeting!
Meet the Team
Research & Design Interests: Evaluation of education and public health programs, gender disparities in STEM, online survey construction, longitudinal database management.
Phone: (205) 348-3810
Research & Design Interests: Online methods of data collection, factor analysis, research proposal development, alternative cultures (e.g., sexuality, religion), and approaches to teaching statistics and methods.
Phone: (205) 348-4350