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Some Wright Map Nuances: How to Set the Probability of Success at 65 % (or Whichever Percentage You Wish to Choose)

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Rasch Analysis in the Human Sciences

Abstract

This chapter begins the second part of the book in which a range of Rasch techniques are presented that make use of topics presented in the preceding 11 chapters. When a Rasch analysis is run, a person having the same measure as an item (dichotomous item) has a 50/50 chance of correctly answering the item. In some cases it is preferable to be more certain. Thus, one may wish that a person with the same measure as an item has a 65 % chance of correctly answering the item. In this chapter we present the steps one has to take in terms of thinking and conducting a Rasch analysis in which the probability of success is altered from a default value of 50/50 to another value. The chapter finishes up with Keywords and Phrases, Quick Tips, Data Files, References, and Additional Readings. As in almost all chapters, sample analyses are used to reinforce the chapter topic.

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References

Additional Readings

  • In this brief article Ben Wright shows some hows and whys for dichotomous test data.

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  • Wright, B. D. (1992). Rasch model from ratio-scale counts. Rasch Measurement Transactions, 6(2), 219.

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  • A key Rasch article in which Ben Wright lays out the reasons for the Rasch model.

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  • Wright, B. D. (1977). Solving measurement problems with the Rasch model. Journal of Educational Measurement, 14(2), 97–116.

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© 2014 Springer Netherlands

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Boone, W.J., Staver, J.R., Yale, M.S. (2014). Some Wright Map Nuances: How to Set the Probability of Success at 65 % (or Whichever Percentage You Wish to Choose). In: Rasch Analysis in the Human Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6857-4_12

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