Projects per year
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Dive into the research topics where Chen-Wei Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Projects
- 2 Finished
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發展試題反應理論模型於視覺類比量尺—評分、自比、反應時間、反應型態、和診斷分類之議題
2021/08/01 → 2023/07/31
Project: Government Ministry › Ministry of Science and Technology
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職業興趣測驗與認知分類模型對於青少年職業興趣與能力評估的分析與應用
2020/08/01 → 2021/07/31
Project: Government Ministry › Ministry of Science and Technology
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Semi-Parametric Item Response Theory With O’Sullivan Splines for Item Responses and Response Time
Liu, C. W., 2025, (Accepted/In press) In: Applied Psychological Measurement.Research output: Contribution to journal › Article › peer-review
Open Access -
Erratum to: A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models (Psychometrika, (2020), 85, 2, (322-357), 10.1007/s11336-020-09707-4)
Liu, C. W., Andersson, B. & Skrondal, A., 2024 Sept, In: Psychometrika. 89, 3, p. 1107 1 p.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Multidimensional item response theory models for testlet-based doubly bounded data
Liu, C. W., 2024 Sept, In: Behavior Research Methods. 56, 6, p. 5309-5353 45 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Online Parameter Estimation for Student Evaluation of Teaching
Chen, C. W. & Liu, C. W., 2023 Jun, In: Applied Psychological Measurement. 47, 4, p. 291-311 21 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models
Liu, C. W., 2022 Nov, In: Applied Psychological Measurement. 46, 8, p. 662-674 13 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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sj-pdf-2-apm-10.1177_0146621621990753 – Supplemental material for Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data
Liu, C. (Contributor), figshare SAGE Publications, 2021 Jan 1
DOI: 10.25384/sage.13718297.v1, https://doi.org/10.25384%2Fsage.13718297.v1
Dataset
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sj-zip-1-apm-10.1177_0146621621990753 – Supplemental material for Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data
Liu, C. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.13718300.v1, https://sage.figshare.com/articles/dataset/sj-zip-1-apm-10_1177_0146621621990753_Supplemental_material_for_Examining_Nonnormal_Latent_Variable_Distributions_for_Non-Ignorable_Missing_Data/13718300/1
Dataset
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Online Parameter Estimation for Student Evaluation of Teaching
Chen, C.-W. (Creator) & Liu, C.-W. (Creator), SAGE Journals, 2023
DOI: 10.25384/sage.c.6477810, https://sage.figshare.com/collections/Online_Parameter_Estimation_for_Student_Evaluation_of_Teaching/6477810
Dataset
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Online Parameter Estimation for Student Evaluation of Teaching
Chen, C.-W. (Creator) & Liu, C.-W. (Creator), SAGE Journals, 2023
DOI: 10.25384/sage.c.6477810.v1, https://sage.figshare.com/collections/Online_Parameter_Estimation_for_Student_Evaluation_of_Teaching/6477810/1
Dataset