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David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
A Sequential Bayesian Changepoint Detection Procedure for Aberrant Behaviors in Computerized Testing
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
Paz, Jennica; Kim, Eui Kyung; Dowdy, Erin; Furlong, Michael J.; Hinton, Tameisha; Piqueras, José A.; Rodríguez-Jiménez, Tíscar; Marzo, Juan C.; Coates, Susan – Grantee Submission, 2020
The assessment of psychosocial strengths in children and adolescents has predominately focused on the measurement of single traits and constructs, such as grit (Christopoulou, Lakioti, Pezirkianidis, Karakasidou, & Stalikas, 2018), optimism (Oberle, Guhn, Gadermann, Thomson, & Schonert-Reichl, 2018), hope (Pedrotti, 2018), and gratitude…
Descriptors: Psychological Patterns, Student Characteristics, Screening Tests, Holistic Approach
Gongjun Xu; Tony Sit; Lan Wang; Chiung-Yu Huang – Grantee Submission, 2017
Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for…
Descriptors: Sampling, Statistical Inference, Computation, Generalization
Fedorov, Alexander – Grantee Submission, 2003
The comparison of the Russian and American experience regarding media violence, standards for rating Russian media programs, and a course of study on media violence for students will have a significant impact upon Russian society, will raise Russian societal and governmental attention to the infringement of the Rights of the Child on the Russian…
Descriptors: Violence, Childrens Rights, Television, Programming (Broadcast)