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Updates from the Statistical Modelling Review Committee

ORAL

Abstract

Physics education research faces statistical analysis challenges that are relatively unique in the physics community. Currently, there are not clear standards for how these challenges should be addressed by researchers and evaluated by peer reviewers in Physical Review Physics Education Re- search (PRPER). In an effort to move towards more consistent publication standards, the PRPER editorial board formed a Statistical Modeling Review Committee. The charge of this committee is to identify these key challenges and lead the PER community in creating a set of review guidelines to help researchers and referees maintain consistent publication standards for quantitative research. Overall, these review guidelines aim to ensure that authors provide justified interpretations of their studies and share enough information about their studies to encourage replication, extension, and meta-analysis. In this talk we share some lessons we have learned from the papers we have reviewed over the past two years, as well as a proposed path forward with the ultimate goal of minimizing the number of papers requiring review by the committee.

Publication: This work will ultimately be published as an editorial in PRPER

Presenters

  • Tim J Stelzer

    University of Illinois at Urbana-Champaign

Authors

  • Tim J Stelzer

    University of Illinois at Urbana-Champaign

  • Andrew F Heckler

    Ohio State University

  • Rachel J Henderson

    Michigan State University

  • Eric Kuo

    University of Illinois at Urbana-Champaign

  • Jayson Nissen

    Chico State

  • Bethany Rae Wilcox

    University of Colorado, Boulder