PTAM 2023-1 | Machine Learning and Deep Learning in Assessment. Special Issue 2
Machine Learning and Deep Learning in Assessment. Special Issue 2 Hong Jiao, Qiwei He, Lihua Yao (Eds.) CONTENT Model Selection for Latent Dirichlet Allocation In Assessment DataConstanza Mardones-Segovia, Jordan M. Wheeler, Hye-Jeong Choi, Shiyu Wang, Allan S. CohenFull article .pdf (Diamond Open Access) Predicting Oral Reading Fluency Scores by...
PTAM 2022-4 | Machine Learning and Deep Learning in Assessment. Special Issue 1
Machine Learning and Deep Learning in Assessment. Special Issue 1 Hong Jiao, Qiwei He, Lihua Yao (Eds.) CONTENT Identifying Aberrant Responses in Intelligent Tutoring Systems: An Application of Anomaly Detection MethodsGuher Gorgun & Okan BulutFull article .pdf (Diamond Open Access) A Machine Learning Approach for Detecting Item Compromise and...
PTAM 2022-1
CONTENT Note: Machine Learning Modeling and Optimization Techniques in Psychological AssessmentDavid Goretzko & Markus BühnerFull article .pdf (Diamond Open Access) Using BIC and aBIC to develop Bayesian posterior probabilities for latent variable modelsW. Holmes FinchFull article .pdf (Diamond Open Access) NICOTINE AND CAFFEINE USERS’ BLOOD PRESSURE REGULATION DURING SUSTAINED...
PTAM 2019-4 | Tree-based methods for regression and classification – Statistical methods at the interface of graphics and statistics
Tree-based methods for regression and classification – Statistical methods at the interface of graphics and statistics Mark Stemmler & Alexander von Eye (Eds.) CONTENT EditorialMark Stemmler & Alexander von EyeFull article .pdf (Diamond Open Access) Identification of confounded subgroups using linear model-based recursive partitioningMichael P. van Wie, Xintong Li...