Jian Xiaozhu

Name： Jian Xiaozhu

Professional title: Full Professor

E-mail： Jianxiaozhu2023@ncu.edu.cn

Main Research Areas and Directions

Psychological Statistics

Modern Psychological Measurement Theory and Techniques

Major Academic Achievements

•Funded Research Projects(Principal Investigator)

National Natural Science Foundation of China - Regional Project. Project Title: Theoretical Hypotheses, Measurement Techniques and Application Tests of Psychological and Educational Tests Using Logistic Weighted Model (Grant No.: 32360204) . 2024 - 2027.

National Social Science Foundation of China - Post-Grant Project. Computerized Adaptive Test Measurement Theory and Technology. (Grant No.: 21FJKB021). 2021 - 2025

Key Project of Jiangxi Social Sciences Planning. Project Title: Analysis and Practical Application of Computerized Adaptive Testing Technology. (Project Grant No.: 19JY02). 2019 - 2023.

Jiangxi Education Science "13th Five-Year" Planning 2019 Project (Grant No.: 19YB115). Induction of Methods for Educational Test Simulation and Software Compilation. 2019 - 2024.

Jiangxi Teaching Reform Research Project. Research on the Cultivation of College Students' Innovation Ability and Information Literacy through the Method Course. (Project Grant No.: JXJG-19-9-22). 2019 - 2024.

Jiangxi Higher Education Research Project on Humanities and Social Sciences (Young Project: XL1515). Computerized Adaptive Testing (CAT) Measurement Technology and Evaluation Analysis. 2016 - 2019.

Jiangxi Social Sciences Planning Project (Young Project: 13JY47). Research on Logistic Weighted Model in Education and Psychological Measurement. 2014 - 2016.

Jiangxi Education Science "12th Five-Year" Planning Project (Grant No.: 12YB052). Investigation of the Examination Phenomenon of "The Initial Responses in CAT Have a Significant Impact on the Final Scores". 2012 - 2014.

Jiangxi Education Science "11th Five-Year" Planning Project (06YB128). Research on the Influence of the Randomness of Respondents' Responses under the Rank Response Model on Ability Estimation. 2006 - 2009.

•Journal Articles

Jian, X., Dai, B., Qing, Y., Deng, Y. (2026). Estimating and Fitting the Non-continuous category scored Polytomous Items under the Weighted Score Logistic Model and its Simulation Study. Applied Psychological Measurement. DOI: 10.1177/01466216261420305

Jian, X., Dai, B. (2025). Analysis of Test-Taker Error Phenomenon and Robust Estimation Method in the Test Simulation. Examination Research, 21(1), 46-54. https://doi.org/CNKI:SUN:KSYA.0.2025-01-005.

Jian, X., Zhang, H. (2025). Simulation Study on the Impact of CAT Test Start Point on Candidate Ability Estimation. Examination Research, 21(6), 52-60.

Jian, X., Zhang, M. (2024). Concept, Types and Characteristics of Computerized Adaptive Testing Based on IRT. China Examination, 31(9), 66-75.

Jian, X.(2023). Simulation Analysis of the Staged Application Ability Estimation Method in Computer Adaptive Testing. Examination Research, 15(2), 56-67.

Jian, X., Dai, B. (2022). GRM reflects the score level rather than the score weighting. Chinese Examination, 29 (6), 57-67.

Lu, M., Jian, X.(2021). The Manifestation Characteristics and Influencing Factors of "Academic Privilege" among Chinese College Students. Educational Academic Monthly Journal, 28(5): 78-84. DOI: 10.16477/j.cnki.issn1674-2311.2021.05.012.

Jian, X., Dai, B., Deng, Y. (2021). Robust Estimation of Examiner Ability Based on the Four-Parameter Logistic Model When Guessing and Carelessness Responses Exist. PLoS ONE, 16(4): e0250268. https://doi.org/10.1371/journal.pone.0250268

Jian, X., Chen, P. (2020). Characteristics and Development Review of Computerized Classification Tests. Examination Research, 12(6), 77-89.

Mei, Y., Jian, X., Liu, J. (2019). Robust Estimation of Examiner Ability under the Four-Parameter Logistic Weighted Model. Psychological Science, 42(1), 163-169.

Jian, X., Dai, B., Xiao, L. (2017). Case Application of Effect Size Calculation in Educational and Psychological Statistical Analysis. Measurement and Evaluation in Education and Psychology, 9(08), 16-19.

Jian, X., Dai, B., Dai, H. (2016). Theoretical Construction and Simulation Analysis of the Multi-level Scoring Logistic Weighted Model. Journal of Psychology, 48(12), 1625-1630.

Jian, X., Dai, H. (2016). Correction of Guessing Phenomenon and Mistake Phenomenon by 4-Parameter GRM. Journal of Jiangxi Normal University (Natural Science Edition), 40(2), 140-144.

Jian, X., Dai, B., Chen Ping. (2016). Analysis Mode and Evaluation Index of Computerized Adaptive Testing Simulation Results. China Examination, 23(12), 19-28.

Jian, X., Dai, B., Chen, P. (2016). Research Paradigm and Characteristics of Computerized Adaptive Testing Simulation Method. China Examination, 23(1), 16-22.

Jian, X., & Zhang, M. (2015). Explanation and Mathematical Derivation of the Causes of Guessing Phenomenon and Mistake Phenomenon in IRT. Examination Research, 11(4), 56-60.

Wang Xiao-jie, Zhang, M., Jian, X., Cai Sheng-gang. (2015). Application of Non-parametric Item Response Theory Model to Analyze Personality Scales - Taking the N Factor of EPQ Personality Questionnaire as an Example. Psychological Exploration and New Discoveries, 35(1), 62-67.

Jian, X., Dai Haizhi, Zhang, M., Peng Chunmei. (2014). Overview of CAT Topic Selection Strategies. Psychological Exploration and Research, 34(5), 446-451.

Liu Hui, Jian, X., Zhang, M. (2012). Review on the Development and Application of Multi-level IRT. Psychological Science Advances, 20(4), 627-632.

Jian, X., Zhang, M., Peng Chunmei. (2011). Test Process and Test Technology of Computer Adaptive Testing. Educational Measurement and Evaluation, 4(12), 9-14.

Jian, X., Jin Rui, Zhang, M. (2011). Overall Planning for the Construction of Academic Level Monitoring Question Bank in Basic Education. Examination Research, 6(1), 53-58.

Zhang, M., Jian, X., Chen Qiumei. (2011). Cognitive Diagnosis Analysis of Raven Intelligence Test Using Rule Space Model. Psychological Science, 34(2), 266-271.

Li Mingyong, Zhang, M., Jian, X.(2010). Review on the Test Security Control Methods in Computer Adaptive Testing. Psychological Science Advances, 18(8), 1339-1348.

Jian, X., Zhang, M. (2010). Research on the Improvement of Test Ability Estimation Methods in the Initial Stage of CAT. Psychological Science, 33(6), 1470-1472.

Jian, X., Zhang, M., Peng, C. (2010). Research Progress and Evaluation of the Four-Parameter Logistic Model. Psychological Exploration and Research, 30(3), 69-73.

Jian, X., Jiao Can, Reise, Peng, C. (2010). Fit and Correction of Abnormal Responses of Subjects in Four-Parameter Model. Psychological Science Advances, 18(3), 537-544.

Jian, X., Dai, H., Peng, C. (2007). Improvement of Ability Estimation by c and γ Parameters of Logistic Model in IRT. Acta Psychologica Sinica, 39(4), 737-746.

Dai, H, Jian, X.(2005). Research on the Influence of Subjective Responses on Ability Estimation in IRT. Psychological Science, 28(6), 155-158. 

•Books

Jian, X., Dai, B. (2017). SPSS 23.0 Statistical Analysis - Applications in Education and Psychology. Beijing: Beijing Normal University Press.

Jian, X., Dai, B. (2024). Research Methods in Psychology and Education. Guilin, Guangxi: Guangxi Normal University Press.