statistic_Q3: Discrepency measure for PPC: Yen's Q3.

In hplieninger/mpt2irt: Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles

Description

This function calculates Yen's Q3 statistic.

Usage

statistic_Q3(resp = NULL, exp = NULL)

Arguments

resp	Numeric matrix of dimension N x J (for N persons and J items) containing the responses.
exp	Numeric matrix of dimension N x J (for N persons and J items) containing the expected responses.

Value

Vector of length J of polyserial correlations.

References

Li, T., Xie, C., & Jiao, H. (2017). Assessing fit of alternative unidimensional polytomous IRT models using posterior predictive model checking. Psychological Methods, 22, 397-408. doi:10.1037/met0000082

Yen, W. M. (1993). Scaling performance assessments: Strategies for managing local item dependence. Journal of Educational Measurement, 30, 187-213. doi:10.1111/j.1745-3984.1993.tb00423.x

Zhu, X., & Stone, C. A. (2012). Bayesian comparison of alternative graded response models for performance assessment applications. Educational and Psychological Measurement, 72, 774-799. doi:10.1177/0013164411434638

hplieninger/mpt2irt documentation built on May 17, 2019, 4:54 p.m.