Data Screening

Data screening consists of reviewing and documenting the properties and quality of the data that may affect future analysis and interpretation.

 

CENTER FOR STATISTICAL TRAINING AND CONSULTING (CSTAT)

FEATURES

  • Planning a strategy for a systematic data screening process to support statistical modeling
  • Conducting data screening: patterns of missingness, univariate and multivariate distributions, data visualizations, variable redundancy analysis
  • Advising on the potential consequences of the findings from the data screening on the planned statistical models, interpretation of results, or presentation of the data

PRE-REQUISITES

  • Must be an MSU faculty, research staff or graduate student
  • Research aims are clearly formulated
  • Existing data dictionary and meta data

CHARGES

  • Projects may be subsidized by college- or unit-level sponsorship agreements
  • Hourly and FTE percentage rates may be available depending on scope of project

REQUEST