title: Do clinical and translational science graduate students understand linear regression? Development and early validation of the REGRESS quiz.
abstract: BACKGROUND
  Although regression is widely used for reading and publishing in the medical literature, no instruments were previously available to assess students' understanding. The goal of this study was to design and assess such an instrument for graduate students in Clinical and Translational Science and Public Health.
  
  
  METHODS
  A 27-item REsearch on Global Regression Expectations in StatisticS (REGRESS) quiz was developed through an iterative process. Consenting students taking a course on linear regression in a Clinical and Translational Science program completed the quiz pre- and postcourse. Student results were compared to practicing statisticians with a master's or doctoral degree in statistics or a closely related field.
  
  
  RESULTS
  Fifty-two students responded precourse, 59 postcourse , and 22 practicing statisticians completed the quiz. The mean (SD) score was 9.3 (4.3) for students precourse and 19.0 (3.5) postcourse (P < 0.001). Postcourse students had similar results to practicing statisticians (mean (SD) of 20.1(3.5); P = 0.21). Students also showed significant improvement pre/postcourse in each of six domain areas (P < 0.001). The REGRESS quiz was internally reliable (Cronbach's alpha 0.89).
  
  
  CONCLUSIONS
  The initial validation is quite promising with statistically significant and meaningful differences across time and study populations. Further work is needed to validate the quiz across multiple institutions.
authors: Mayo Clinic, Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Rochester, Minnesota, USA.
authors: Felicity
authors: F
authors: Enders
mesh_terms: D056808:Biostatistics; D032882:Comprehension; D003627:Data Interpretation, Statistical; D004500:Education, Graduate; D004521:Educational Measurement; D004522:Educational Status; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D015203:Reproducibility of Results; D013334:Students / Q000523:psychology*; D011795:Surveys and Questionnaires; D057170:Translational Research, Biomedical / Q000193:education*
keywords: assessment; biostatistics; epidemiology; evaluation; statistics