Lou Mariano is an adjunct senior statistician at RAND. His current research includes topics in education, criminal justice, and military personnel.

Mariano's education research has focused on evaluations of the implementation and efficacy of school reform efforts; furthering the methodology and application of experimental and quasi-experimental designs; refining methods for estimating teacher contributions to student learning; and the expansion of item response theory models, with emphasis on survey applications. His current criminal justice research topics include prosecutor-initiated resentencing and models to assess pretrial risk.

Mariano holds a Ph.D. in statistics from Carnegie Mellon University.

Education

Ph.D. in statistics, Carnegie Mellon University; M.S. in statistics, Carnegie Mellon University; B.S. in mathematics and statistics, American University

Selected Work

  • Mariano, L.T., Martorell, P., and Berglund, T., "The Effects of Grade Retention on High School Outcomes: Evidence from New York City Schools," Journal of Research on Educational Effectiveness, 2024
  • Mariano, L.T. and Martorell, P., "The Causal Effects of Grade Retention on Behavioral Outcomes," Journal of Research on Educational Effectiveness , 11(2), 2018
  • Kilburn, M. Rebecca, Andrea Phillips, Celia J. Gomez, Louis T. Mariano, Christopher Joseph Doss, Wendy M. Troxel, Emily Morton, and Kevin Estes, Does Four Equal Five? Implementation and Outcomes of the Four-Day School Week, RAND Corporation (RR-A373-1), 2021
  • Lois M. Davis, Louis T. Mariano, Melissa M. Labriola, Susan Turner, Andy Bogart, Matt Strawn, Lynn A. Karoly, Evaluation of the California County Resentencing Pilot Program: Year 3 Findings, RAND Corporation (RR-A2116-3), 2025
  • Wagner, Z., Kirkegaard, A., Mariano, L.T., Doctor, J.N., Yan, X., Persell, S.D., Goldstein, N.J., Fox, C.R., Brummett, C.M., Romanelli, R.J., Bouskill, K., Martinez, M., Zanocco, K., Meeker, D., Waljee, J., and Watkins, K.E., "Effect of Peer Comparison or Guideline-Based Feedback vs No Feedback on Post-Surgery Opioid Prescriptions: A Cluster-Randomized Controlled Trial," JAMA Health Forum, 5(3), 2024
  • Mariano, L.T. and Elliott, M.N., "An Item Response Theory Approach to Estimating Survey Mode Effects: Analysis of Data from a Randomized Mode Experiment," Journal of Survey Statistics and Methodology, 5(2), 2017
  • Mariano, L.T., McCaffrey, D.F., and Lockwood, J.R., "A Model For Teacher Effects From Longitudinal Data Without Assuming Vertical Scaling," Journal of Educational and Behavioral Statistics, 35, 2010
  • Schweig, Jonathan, Andrew McEachin, Megan Kuhfeld, Louis T. Mariano, and Melissa Kay Diliberti, Adapting Course Placement Processes in Response to COVID-19 Disruptions: Guidance for Schools and Districts, RAND Corporation (RR-A1037-1), 2021

Authored by Louis T. Mariano

  • Content Type
  • Topic
  • Region
  • Date
64 Results