More "Oust The Incorrect"

Constructors of new test item formats must be wary, because test-wise examinees are looking for loopholes. Wu ("Oust the Incorrect" RMT 5,2 p.143) proposes a novel partial credit scoring method for multiple- choice questions (MCQs) based on asking each examinee to mark all options that are definitely incorrect. The score for an item is the number of incorrect options an examinee marks as incorrect, and is zero when the examinee marks the correct option as incorrect.

What happens when examinees use a guessing strategy? Then their expected score depends on how many options they decide to guess incorrect. The Table illustrates what expected scores occur when there is one correct answer. The rows are the number of options in the MCQ. The columns correspond to the number of options the examinee decides to guess incorrect in an MCQ. Then each cell gives the expected score for each row-column combination. For instance, when 2 options are guessed incorrect in a 5 option MCQ, then there will be a score of 0 if the correct option is marked incorrect, and a score of 2 otherwise. The probability of missing the correct option is 4/5 for the first mark, and 3/4 for the second mark, i.e. 4/5 * 3/4 = 3/5 for the two marks. The expected score is (the probability of missing the correct answer) * (the score for correctly selecting incorrect options) = 3/5 * 2 = 6/5 points. Only the two-option (True/False) and three-option MCQs are immune to guessing strategy abuse.

Conclusion: Use 3-option MCQs, or defeat guessing strategies by including MCQ items with none or several correct answers.

Number of MCQ Options:
     Number guessed incorrect:
     0  1    2    3    4    5
  2  0  1/2  0    -    -    -
  3  0  2/3  2/3  0    -    -
  4  0  3/4  1    3/4  0    -
  5  0  4/5  6/5  6/5  4/5  0
     Expected Guessing Score

More "Oust The Incorrect", B Xiao … Rasch Measurement Transactions, 1991, 5:3 p. 165

Please help with Standard Dataset 4: Andrich Rating Scale Model

Rasch Publications
Rasch Measurement Transactions (free, online)	Rasch Measurement research papers (free, online)	Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch	Applying the Rasch Model 3rd. Ed., Bond & Fox	Best Test Design, Wright & Stone
Rating Scale Analysis, Wright & Masters	Introduction to Rasch Measurement, E. Smith & R. Smith	Introduction to Many-Facet Rasch Measurement, Thomas Eckes	Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr.	Statistical Analyses for Language Testers, Rita Green
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar	Journal of Applied Measurement	Rasch models for measurement, David Andrich	Constructing Measures, Mark Wilson	Rasch Analysis in the Human Sciences, Boone, Stave, Yale
in Spanish:	Análisis de Rasch para todos, Agustín Tristán		Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez

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