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Zheng C, Liu J, Li Y, Xu P, Zhang B, Wei R, Zhang W, Liu B, Huang J. A 2PLM-RANK multidimensional forced-choice model and its fast estimation algorithm. Behav Res Methods 2024; 56:6363-6388. [PMID: 38409459 DOI: 10.3758/s13428-023-02315-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2023] [Indexed: 02/28/2024]
Abstract
High-stakes non-cognitive tests frequently employ forced-choice (FC) scales to deter faking. To mitigate the issue of score ipsativity derived, many scoring models have been devised. Among them, the multi-unidimensional pairwise preference (MUPP) framework is a highly flexible and commonly used framework. However, the original MUPP model was developed for unfolding response process and can only handle paired comparisons. The present study proposes the 2PLM-RANK as a generalization of the MUPP model to accommodate dominance RANK format response. In addition, an improved stochastic EM (iStEM) algorithm is devised for more stable and efficient parameter estimation. Simulation results generally supported the efficiency and utility of the new algorithm in estimating the 2PLM-RANK when applied to both triplets and tetrads across various conditions. An empirical illustration with responses to a 24-dimensional personality test further supported the practicality of the proposed model. To further aid in the application of the new model, a user-friendly R package is also provided.
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Affiliation(s)
- Chanjin Zheng
- Department of Educational Psychology, Faculty of Education, East China Normal University, Shanghai, China.
| | - Juan Liu
- Beijing Insight Online Management Consulting Co.,Ltd, Beijing, China
| | - Yaling Li
- Beijing Insight Online Management Consulting Co.,Ltd, Beijing, China
| | - Peiyi Xu
- Department of Educational Psychology, Faculty of Education, East China Normal University, Shanghai, China
- Beijing Insight Online Management Consulting Co.,Ltd, Beijing, China
| | - Bo Zhang
- School of Labor and Employment Relations and Department of Psychology, University of Illinois Urbana-Champaign, Champaign, USA
| | - Ran Wei
- Beijing Insight Online Management Consulting Co.,Ltd, Beijing, China
| | - Wenqing Zhang
- Department of Educational Psychology, Faculty of Education, East China Normal University, Shanghai, China
- Beijing Insight Online Management Consulting Co.,Ltd, Beijing, China
| | - Boyang Liu
- Beijing Insight Online Management Consulting Co.,Ltd, Beijing, China
| | - Jing Huang
- Educational Psychology and Research Methodology, Purdue University, West Lafayette, IN, USA
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Bürkner PC. On the Information Obtainable from Comparative Judgments. PSYCHOMETRIKA 2022; 87:1439-1472. [PMID: 35133553 PMCID: PMC9636126 DOI: 10.1007/s11336-022-09843-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 11/04/2021] [Indexed: 06/14/2023]
Abstract
Personality tests employing comparative judgments have been proposed as an alternative to Likert-type rating scales. One of the main advantages of a comparative format is that it can reduce faking of responses in high-stakes situations. However, previous research has shown that it is highly difficult to obtain trait score estimates that are both faking resistant and sufficiently accurate for individual-level diagnostic decisions. With the goal of contributing to a solution, I study the information obtainable from comparative judgments analyzed by means of Thurstonian IRT models. First, I extend the mathematical theory of ordinal comparative judgments and corresponding models. Second, I provide optimal test designs for Thurstonian IRT models that maximize the accuracy of people's trait score estimates from both frequentist and Bayesian statistical perspectives. Third, I derive analytic upper bounds for the accuracy of these trait estimates achievable through ordinal Thurstonian IRT models. Fourth, I perform numerical experiments that complement results obtained in earlier simulation studies. The combined analytical and numerical results suggest that it is indeed possible to design personality tests using comparative judgments that yield trait scores estimates sufficiently accurate for individual-level diagnostic decisions, while reducing faking in high-stakes situations. Recommendations for the practical application of comparative judgments for the measurement of personality, specifically in high-stakes situations, are given.
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Lee H. Reduction of faking with the use of a forced‐choice personality test: Cross‐cultural comparisons between South Korea and the United States. INTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT 2022. [DOI: 10.1111/ijsa.12408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- HyeSun Lee
- Psychology Department California State University Channel Islands Camarillo California USA
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