title: Graphical modeling for item difficulty in medical faculty exams.
abstract: BACKGROUND
  There are different indexes used in the evaluation of exam results. One important index is the difficulty level of the item that is also used in this study to obtain control charts. This article offers some suggestions for the improvement of multiple-choice tests using item analysis statistics.
  
  
  METHODS
  The graphical modeling is important for the rapid and comparative evaluation of test results. The control chart is a tool that can be used to sharpen our teaching and testing skills by inspecting the weaknesses of measurements and producing reliable items. The research data for the application of control charts were obtained using the results of the fourth and fifth-grade student's exams at Ondokuz Mayis University, Faculty of Medicine. I-chart or moving range chart (MR) is preferred for whole variable data.
  
  
  RESULTS
  It is seen that all observations are within control limits for I-chart, but three points on MR-chart are settled on the LCL. Using X--chart with subgroups, it was determined that control measurements were within the upper and lower limits in both charts. The difficulty levels of items were examined by obtaining different variable control charts. The difficulty level of the two items exceeded the upper control limit in R- and S-charts.
  
  
  CONCLUSIONS
  The control charts have the advantage for classifying items as acceptable or unacceptable based on item difficulty criteria.
authors.affiliation: Department of Biostatistics and Medical Informatics, Faculty of Medicine, Ondokuz Mayis University, Atakum, Samsun, Turkey.
authors.forename: L
authors.initials: L
authors.lastname: Tomak
authors.forename: Y
authors.initials: Y
authors.lastname: Bek
authors.forename: M A
authors.initials: MA
authors.lastname: Cengiz
mesh_terms: D004501:Education, Medical / Q000379:methods*; D004521:Educational Measurement / Q000592:standards* / Q000706:statistics & numerical data; D005180:Faculty, Medical; D006801:Humans; D017145:Models, Educational; D015233:Models, Statistical; D014495:Universities