Literature DB >> 1873997

Analysis of multiple-choice items.

M A Moussa1, B A Ouda, A Nemeth.   

Abstract

This paper deals with scoring and analysis of multiple-choice exam questions. Data may be read by an optical mark reader scanner or from a file created by a system editor and stored in a format convenient to be analysed by a specially designed program 'MCQ'. In addition the data file created can be linked with the package SPSSx for pertinent statistical methods or SPSS Graphics for illustration of score and item distributions. The MCQ program comprises: (1) scoring; (2) item analysis: difficulty and discrimination indices; (3) testing the goodness of alternatives attached to each question. The method is applicable to multiple-choice questions with 4.5 greater than 5; true/false and combined exam questions. The method should prove useful for instructors to build up a balanced discriminant questions bank.

Mesh:

Year:  1991        PMID: 1873997     DOI: 10.1016/0169-2607(91)90113-8

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  1 in total

1.  Development and validation of the type 1 diabetes nutrition knowledge survey.

Authors:  Alisha J Rovner; Tonja R Nansel; Sanjeev N Mehta; Laurie A Higgins; Denise L Haynie; Lori M Laffel
Journal:  Diabetes Care       Date:  2012-06-04       Impact factor: 19.112

  1 in total

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