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Research Data Services @ Georgia State University Library: RDS@GSU ~ Graduate Research
Intensive Program (GRIP)

GRADUATE RESEARCH INTENSIVE PROGRAM

Where GSU’s early-career scholars go to get a GRIP on research skills.

The Graduate Research Intensive Program is an in-depth two-week workshop open to graduate students at Georgia State University to brush up on research skills (see topics below). The purpose of the program is simple: to help graduate students develop and polish their research skills to benefit themselves in graduate school and in their future careers.

Date: Dates for 2020 yet to be determined, but duration will be two full weeks in August.

Instructor: Raeda K. Anderson, Ph.D. (with potential guest instructors for selected content)

Cost: Cost for 2020 yet to be determined, but will not exceed $50.

Application process: All interested graduate students will apply by July 1st. Up to 25 applicants will be accepted into the program. All applicants will be notified of acceptance or placement on the waitlist by July 5th. Applicants will need to accept their spot by July 10th, or the spot will be forfeited to a waitlisted graduate student. Every graduate student who completes GRIP will receive a certificate of completion from Dean Jeff Steely.

Questions? Direct questions to Dr. Raeda Anderson (randerson39@gsu.edu).

**APPLICATIONS for GRIP 2020 will open in Spring 2020 semester**

 

TOPICS COVERED IN THE GRADUATE RESEARCH INTENSIVE PROGRAM (GRIP)

Research Design and Modeling
  • Overview of the research process
  • Appropriate modeling for the dependent variable
  • Mediation and moderation
  • Longitudinal and cross sectional data
  • Mixed methods
  • Model and analysis fit
  • Type I and Type II errors
  • Data reporting
  • Research organization
  • Detailed workflows
Statistical Analysis
  • Measures of central tendency
  • Measures of variability
  • ANOVA
  • T-tests
  • Correlation analysis
  • Regression
  • Multi collinearity
  • Network analysis
  • Probabilities
Statistical Coding
  • Data cleaning
  • Meaningful coding
  • Dummy variables
  • Collapsing variables
  • Interactions
  • Data/variable transformations
Research Literature Searches
  • Searching relevant research literature
  • Using existing studies to outline your theory and methods