statistic_item_score: Discrepency measure for PPC: Item score distribution X2.

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

Description

This function calculates the item score distribution, i.e., the discrepancy between observed frequencies and posterior predictive frequencies for each item using Pearson's X2 statistic.

Usage

statistic_item_score(resp = NULL, prob = NULL)

Arguments

resp	Numeric matrix of dimension N x J (for N persons and J items) containing the responses.
prob	Numeric array of dimension R x N x J x 5 (for N persons, J items with 5 categories, and R iterations).

Value

Vector of length J containing X2 values.

References

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.