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Research Consulting Lab

The Applied Statistic and Research Methods (ASRM) Research Consulting Lab is committed to providing UNC 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.

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.

Make an Appointment 

We are available to make appointments either by email (rcl@unco.edu) or in person at 537 McKee Hall.  It is better to see us as you are beginning your research project; we would be glad to help you with your research question and work with you through to the end!  

Information about statistical topics, software assistance, and a current schedule of workshops can be found on the RCL Sharepoint site.

General Recommendations

  • Consultants are there to assist you, not to perform analysis: it is a learning process for you
  • Give yourself plenty of time as many sessions may be required.
    • Consultant may need a few days to a week to consider the problem

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

Planning Your Study

  • Research question(s)
    • Too broad
    • Too many
  • Research design
    • Participants
    • Procedures
    • Methods
  • Appropriate statistical analysis
  • Provide suggestion on how to set up your data file (e.g., format, missing data, code book)

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