These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
212 related articles for article (PubMed ID: 29881067)
1. Unfolding IRT Models for Likert-Type Items With a Don't Know Option. Liu CW; Wang WC Appl Psychol Meas; 2016 Oct; 40(7):517-533. PubMed ID: 29881067 [TBL] [Abstract][Full Text] [Related]
2. A General Unfolding IRT Model for Multiple Response Styles. Liu CW; Wang WC Appl Psychol Meas; 2019 May; 43(3):195-210. PubMed ID: 31019356 [TBL] [Abstract][Full Text] [Related]
4. Non-ignorable missingness item response theory models for choice effects in examinee-selected items. Liu CW; Wang WC Br J Math Stat Psychol; 2017 Nov; 70(3):499-524. PubMed ID: 28390145 [TBL] [Abstract][Full Text] [Related]
5. Mixture Random-Effect IRT Models for Controlling Extreme Response Style on Rating Scales. Huang HY Front Psychol; 2016; 7():1706. PubMed ID: 27853444 [TBL] [Abstract][Full Text] [Related]
6. Analysis of Multiple Partially Ordered Responses to Belief Items with Don't Know Option. Ip EH; Chen SH; Quandt SA Psychometrika; 2016 Jun; 81(2):483-505. PubMed ID: 25479822 [TBL] [Abstract][Full Text] [Related]
7. Semisupervised Learning Method to Adjust Biased Item Difficulty Estimates Caused by Nonignorable Missingness in a Virtual Learning Environment. Xue K; Huggins-Manley AC; Leite W Educ Psychol Meas; 2022 Jun; 82(3):539-567. PubMed ID: 35444339 [TBL] [Abstract][Full Text] [Related]
8. Rasch Model Parameter Estimation in the Presence of a Nonnormal Latent Trait Using a Nonparametric Bayesian Approach. Finch H; Edwards JM Educ Psychol Meas; 2016 Aug; 76(4):662-684. PubMed ID: 29795882 [TBL] [Abstract][Full Text] [Related]
9. I don't know my child's asthma risk: evidence against satisficing as an explanation for 'don't know' responses. Waters EA; Pogge G; Orom H; Kiviniemi MT; Hay JL; Lewicka M; Allard NC; Webster GD; Shepperd JA J Risk Res; 2023; 26(12):1370-1382. PubMed ID: 38274030 [TBL] [Abstract][Full Text] [Related]
10. Mixture IRT Model With a Higher-Order Structure for Latent Traits. Huang HY Educ Psychol Meas; 2017 Apr; 77(2):275-304. PubMed ID: 29795914 [TBL] [Abstract][Full Text] [Related]
11. Modeling Omitted and Not-Reached Items in IRT Models. Rose N; von Davier M; Nagengast B Psychometrika; 2016 Nov; ():. PubMed ID: 27848151 [TBL] [Abstract][Full Text] [Related]
12. A Mixture IRTree Model for Performance Decline and Nonignorable Missing Data. Huang HY Educ Psychol Meas; 2020 Dec; 80(6):1168-1195. PubMed ID: 33116331 [TBL] [Abstract][Full Text] [Related]
13. On the Treatment of Missing Item Responses in Educational Large-Scale Assessment Data: An Illustrative Simulation Study and a Case Study Using PISA 2018 Mathematics Data. Robitzsch A Eur J Investig Health Psychol Educ; 2021 Dec; 11(4):1653-1687. PubMed ID: 34940395 [TBL] [Abstract][Full Text] [Related]
14. Bayesian pattern-mixture models for dropout and intermittently missing data in longitudinal data analysis. Blozis SA Behav Res Methods; 2024 Mar; 56(3):1953-1967. PubMed ID: 37221346 [TBL] [Abstract][Full Text] [Related]
15. A Bayesian Random Block Item Response Theory Model for Forced-Choice Formats. Lee H; Smith WZ Educ Psychol Meas; 2020 Jun; 80(3):578-603. PubMed ID: 32425220 [TBL] [Abstract][Full Text] [Related]
16. Gleaning Information for Cognitive Operations from Don't Know Responses in Cognitive and Noncognitive Assessments. Ip EH; Magee MF; Youssef GA; Chen SH Multivariate Behav Res; 2019; 54(2):159-172. PubMed ID: 30380920 [TBL] [Abstract][Full Text] [Related]
17. Killing Two Birds with One Stone: Accounting for Unfolding Item Response Process and Response Styles Using Unfolding Item Response Tree Models. Li Z; Li L; Zhang B; Cao M; Tay L Multivariate Behav Res; 2024 Aug; ():1-23. PubMed ID: 39215711 [TBL] [Abstract][Full Text] [Related]
18. "Don't know" responses to risk perception measures: implications for underserved populations. Waters EA; Hay JL; Orom H; Kiviniemi MT; Drake BF Med Decis Making; 2013 Feb; 33(2):271-81. PubMed ID: 23468476 [TBL] [Abstract][Full Text] [Related]
19. Sample Size Requirements for Applying Mixed Polytomous Item Response Models: Results of a Monte Carlo Simulation Study. Kutscher T; Eid M; Crayen C Front Psychol; 2019; 10():2494. PubMed ID: 31798490 [TBL] [Abstract][Full Text] [Related]