The Research and Statistics Lab conducts research aims with particular emphasis on the
development and application of innovative statistical methods. DDU Gorakhpur University,
Gorakhpur, U.P., India is a famous university. It is planning for a Research and Statistics Lab
committed to the success of its students, with more than 100 undergraduate programs, graduate
and PhD programs. The university’s just-right size, expert faculty, and tradition of research
and hands-on learning gives students exceptional opportunities and a personalized education.
Our faculty and students are experts in research synthesis methods (i.e., systematic reviewing
and meta-analysis) that can be used for assessing and appraising research evidence in the
field of prevention science.
Consultants can provide the following Permitted Services:
• Recommendations on the structure of research questions.
• References and recommendations on the recording of data.
• Recommendations on data management and data management software.
• References and recommendations on research design and data collection.
• References and recommendations on data analysis techniques.
• Recommendations and “help” documentation on data analysis software.
Explore DDUGU’s diverse research areas:
plore DDUGU’s diverse research areas:
➢ Bayesian Inference
➢ Bioinformatics and Statistical Genetics
➢ Geographical Information system
➢ Remote Sensing
➢ Demographic Statistics
➢ Biological and Agricultural Applications
➢ Cheminformatics and Computational Toxicology
➢ Computational Statistics
➢ Financial Statistics
➢ Functional Data Analysis
➢ High-Dimensional Data
➢ Industrial Statistics
➢ Machine Learning
➢ Precision Medicine and Causal Inference
➢ Sports Statistics
➢ Statistics Education
• Statistics Resources and Links
o SAS Products and Solutions
o SAS Product documentation
➢ SPSS Links:
o DDU SPSS help
o IBM SPSS brochure
➢ General Statistics:
o DDUGU research consulting help
➢ R Links:
o R Project for Statistical computing
o R news and tutorials from R bloggers
o R tutorial from Robert Kabacoff
o R search engine
o Google’s R guide
o R Wiki Books
➢ Latex Links:
o LaTex document preparation system
Tutorials and Workshops Would be conducted by: Workshops
Lab consultants will be providing workshops throughout the academic year and during
summer semester on various research-and software-related topics. Workshops would be free
to any DDUGU faculty, student, or staff.
o Geographical Information system
o Remote Sensing
o Data Management and Transformation in SPSS
o Running ANCOVA in SPSS
o Data Management in R
o Sample Size Determination Using G*Power
Resources can be put in the lab
o Robust Variance Estimation Software Tutorial
o Applied Statistics for Program Evaluators (MEASURE BiH)
Consultation Could be provided by Lab
The Research and Statistic lab is committed to providing DDUGU faculty, staff, and students
with free consultation on research and survey design, data collection and management,
statistical analysis, and evaluation. Research consultants have extensive training in applied
statistics and research methods, and can offer advice for both quantitative and qualitative
research. The Research Consulting Lab also strives to provide appropriate introductory
training with common data analysis software.
It may provide following services
• Consulting Services
• Consulting services include advice and training:
• Designing studies and surveys
• Selecting methods of data collection
• Selecting methods of data storage and management
• Selecting and implementing statistical analyses
Research consultants are available on a drop-in basis or by appointment. For assistance with
research projects, clients should anticipate approximately 2-4 weeks of interaction with
consultants, exact duration dependent on the scale of the project.
What to Bring
• Research questions
• For survey research, bring a copy of your questionnaire
• Description of variables
• Conceptual description
• Operational definition (how they were/will be measured)
• Data file
• In raw form
• Excel file is preferred
After Data Collection
• Data cleaning and management
• It could be time consuming
• Preliminary analysis
• Descriptive statistics
• Psychometrics (e.g., reliability and factor analysis)
• Statistical analysis
• Appointments may be needed
Overview of Basic Requirement for Computer Labs and Virtual Teaching
The most important resource is computer resources. Each member (faculty, staff, visitors and
students) would be having a dedicated PC with either two or one large flat-screen monitor. The
PCs would be connected to internet with a number of printers available to access. The
interconnected departments would be having a Linux simulation cluster and a Windows virtual
teaching lab available as additional resources.
Each computing resource would be having SAS 9.4, R, and Matlab available on them. Many
of the computers would be attached via network attach storage to allow for the storage of files
to work seamlessly between different computers. Most computers would be having i7 or
equivalent processors and a minimum of 16GB of RAM available.
The research and statistics lab aims to maintain its infrastructure in dedicated server rooms
with restricted access and battery backups. The computer data would be backed up to
maintain data integrity in the event of possible hardware failure.