Published on 17.02.14 in Vol 16, No 2 (2014): February
Works citing "Applying Computerized Adaptive Testing to the Negative Acts Questionnaire-Revised: Rasch Analysis of Workplace Bullying"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2819):
(note that this is only a small subset of citations)
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Lee Y, Lin K, Chien T. Application of a multidimensional computerized adaptive test for a Clinical Dementia Rating Scale through computer-aided techniques. Annals of General Psychiatry 2019;18(1)
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Ma S, Wang H, Chien T. A new technique to measure online bullying: online computerized adaptive testing. Annals of General Psychiatry 2017;16(1)
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Yan Y, Chien T, Yeh Y, Chou W, Hsing S. An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(7):e17857
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Chien T, Lin W. Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes. JMIR Medical Informatics 2016;4(1):e8
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Lee Y, Chou W, Chien T, Chou P, Yeh Y, Lee H. An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study. JMIR Medical Informatics 2020;8(5):e16528
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Chien T, Shao Y, Kuo S. Development of a Microsoft Excel tool for one-parameter Rasch model of continuous items: an application to a safety attitude survey. BMC Medical Research Methodology 2017;17(1)
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Ma S, Chou W, Chien T, Chow JC, Yeh Y, Chou P, Lee H. An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e16747
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Djaja N, Janda M, Olsen CM, Whiteman DC, Chien T. Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing. Journal of Medical Internet Research 2016;18(1):e22
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Chien T, Lin W. Simulation study of activities of daily living functions using online computerized adaptive testing. BMC Medical Informatics and Decision Making 2016;16(1)
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Miller P, Brook L, Stomski N, Ditchburn G, Morrison P, Useche SA. Bullying in Fly-In-Fly-Out employees in the Australian resources sector: A cross-sectional study. PLOS ONE 2020;15(3):e0229970
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Hutchinson M, Bradbury J, Browne G, Hurley J. Determining the optimal cut-off scores for the Workplace Bullying Inventory. Nurse Researcher 2017;25(3):46
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Peute L, Scheeve T, Jaspers M. Classification and Regression Tree and Computer Adaptive Testing in Cardiac Rehabilitation: Instrument Validation Study. Journal of Medical Internet Research 2020;22(1):e12509
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Yang Y, Zhou L. Workplace bullying among operating room nurses in China: A cross‐sectional survey. Perspectives in Psychiatric Care 2021;57(1):27
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Chien T, Lee Y, Wang H. Detecting hospital behaviors of up-coding on DRGs using Rasch model of continuous variables and online cloud computing in Taiwan. BMC Health Services Research 2019;19(1)
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Fullerton L, Oglesbee S, Weiss SJ, Ernst AA, Mesic V. Assessing the Prevalence and Predictors of Bullying Among Emergency Medical Service Providers. Prehospital Emergency Care 2019;23(1):9
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Hsu C, Chien T, Yan Y. An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing. Medicine 2021;100(52):e28457
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Chen H, Chien T, Chen L, Yeh Y, Ma S, Lee H. An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel. Medicine 2022;101(11)
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Tsai J, Chang W. The mediating effect of job satisfaction on the relationship between workplace bullying and organizational citizenship behavior in nurses. Work 2022;72(3):1099
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Yang T, Chien T, Lai F. Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study. JMIR Medical Informatics 2022;10(3):e33006
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2819):