The JML estimation in the equi-distant unfolding model for polytomous responses

DOI

10.2991/978-94-6463-494-5_3How to use a DOI?

Keywords

polytomous responses; unfolding models; joint maximum likelihood estimation; weighted likelihood estimation

Abstract

This paper operationalizes the general unfolding model for polytomous responses under the condition of equal-distances between the successive thresholds of an item. Using the joint maximum likelihood estimation (JML), two algorithms are proposed for parameter estimation, each with a different technique to reduce the bias in the estimates produced by the inconsistency of the JML. One algorithm is a direct extension of the algorithm described in [15] in which a correction is applied on the mean latitude of acceptance parameter. Simulation studies show the efficiency of the algorithms in various situations. An analysis of real data is included for illustrative purposes.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Guanzhong Luo
PY  - 2024
DA  - 2024/08/22
TI  - The JML estimation in the equi-distant unfolding model for polytomous responses
BT  - Proceedings of the Pacific-Rim Objective Measurement Symposium (PROMS 2023)
PB  - Atlantis Press
SP  - 20
EP  - 64
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-494-5_3
DO  - 10.2991/978-94-6463-494-5_3
ID  - Luo2024
ER  -