Literature DB >> 25041650

Initial external validation of REGRESS in public health graduate students.

Kelley M Kidwell1, Felicity B Enders.   

Abstract

Linear regression is typically taught as a second and potentially last required (bio)statistics course for Public Health and Clinical and Translational Science students. There has been much research on the attitudes of students toward basic biostatistics, but there has not been much assessing students' understanding of critical regression topics. The REGRESS (REsearch on Global Regression Expectations in StatisticS) quiz developed at Mayo Clinic utilizes 27 questions to assess understanding for simple and multiple linear regression. We performed an initial external validation of this tool with 117 University of Michigan public health students. We compare the results of pre- and postcourse quiz scores from the Michigan cohort to scores of Mayo medical students and professional statisticians. University of Michigan students performed higher than Mayo students on the precourse quiz due to previous related coursework, but did not perform as high postcourse indicating the need for course modification. In the Michigan cohort, REGRESS scores improved by a mean (standard deviation) of 4.6 (3.4), p < 0.0001. Our results support the use of the REGRESS quiz as a learning tool for students and an evaluation tool to identify topics for curricular improvement for teachers, while we highlight future directions of research.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  assessment; biostatistics; graduate level statistics course; linear regression; validation

Mesh:

Year:  2014        PMID: 25041650      PMCID: PMC5350920          DOI: 10.1111/cts.12190

Source DB:  PubMed          Journal:  Clin Transl Sci        ISSN: 1752-8054            Impact factor:   4.689


  8 in total

1.  Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement.

Authors:  Don C Des Jarlais; Cynthia Lyles; Nicole Crepaz
Journal:  Am J Public Health       Date:  2004-03       Impact factor: 9.308

2.  CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.

Authors:  David Moher; Sally Hopewell; Kenneth F Schulz; Victor Montori; Peter C Gøtzsche; P J Devereaux; Diana Elbourne; Matthias Egger; Douglas G Altman
Journal:  BMJ       Date:  2010-03-23

3.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  BMJ       Date:  2007-10-20

4.  Improving the reporting of public health intervention research: advancing TREND and CONSORT.

Authors:  Rebecca Armstrong; Elizabeth Waters; Laurence Moore; Elisha Riggs; Luis Gabriel Cuervo; Pisake Lumbiganon; Penelope Hawe
Journal:  J Public Health (Oxf)       Date:  2008-01-19       Impact factor: 2.341

5.  Medicine residents' understanding of the biostatistics and results in the medical literature.

Authors:  Donna M Windish; Stephen J Huot; Michael L Green
Journal:  JAMA       Date:  2007-09-05       Impact factor: 56.272

6.  Evaluating mastery of biostatistics for medical researchers: need for a new assessment tool.

Authors:  Felicity Enders
Journal:  Clin Transl Sci       Date:  2011-11-07       Impact factor: 4.689

7.  Do clinical and translational science graduate students understand linear regression? Development and early validation of the REGRESS quiz.

Authors:  Felicity Enders
Journal:  Clin Transl Sci       Date:  2013-08-22       Impact factor: 4.689

Review 8.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

  8 in total

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