Psychometrics, Research, and Evaluation Promoting Adaptation, Resiliency, and Education (PREPARE) Lab

PREPARE Lab

Creating a community of future scientists while conducting quality research

Preparing Future Scientists

All researchers learn the following programs:

  • R Studio
  • SPSS
  • NVivo
  • Jamovi
  • Sona subject pool management system
  • Excel

All researchers learn the following statistics:

  • Descriptive statistics
  • t-tests (independent samples, paired samples)
  • Factorial ANOVAs
  • Correlations
  • Regressions (linear regressions, hierarchical regressions)
  • Path analyses
  • Dominance analyses
  • Relative weights analyses
  • Exploratory factor analyses

All researchers code qualitative data in NVivo and Excel:

  • Engage in thematic/open coding
  • Engage in focused coding
  • Code data from one-on-one, semi-structured interviews
  • Code data from focus groups
  • Code data from pictures