Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Jin, Ick"'
With increasingly available computer-based or online assessments, researchers have shown keen interest in analyzing log data to improve our understanding of test takers' problem-solving processes. In this paper, we propose a multi-state survival mode
Externí odkaz:
http://arxiv.org/abs/2403.14908
In the real world, many topics are inter-correlated, making it challenging to investigate their structure and relationships. Understanding the interplay between topics and their relevance can provide valuable insights for researchers, guiding their s
Externí odkaz:
http://arxiv.org/abs/2401.17855
South Korea's educational system has faced criticism for its lack of focus on critical thinking and creativity, resulting in high levels of stress and anxiety among students. As part of the government's effort to improve the educational system, the i
Externí odkaz:
http://arxiv.org/abs/2306.02106
The latent space model is one of the well-known methods for statistical inference of network data. While the model has been much studied for a single network, it has not attracted much attention to analyze collectively when multiple networks and thei
Externí odkaz:
http://arxiv.org/abs/2208.12435
The latent space item response model (LSIRM; Jeon et al., 2021) allows us to show interactions between respondents and items in item response data by embedding both items and respondents in a shared and unobserved metric space. The R package lsirm12p
Externí odkaz:
http://arxiv.org/abs/2205.06989
Response time has attracted increased interest in educational and psychological assessment for, e.g., measuring test takers' processing speed, improving the measurement accuracy of ability, and understanding aberrant response behavior. Most models fo
Externí odkaz:
http://arxiv.org/abs/2203.14306
Many phase II clinical trials have used survival outcomes as the primary endpoints in recent decades. Suppose the radiotherapy is evaluated in a phase II trial using survival outcomes. In that case, the competing risk issue often arises because the t
Externí odkaz:
http://arxiv.org/abs/2203.06830
Data integration has become increasingly popular owing to the availability of multiple data sources. This study considered quantile regression estimation when a key covariate had multiple proxies across several datasets. In a unified estimation proce
Externí odkaz:
http://arxiv.org/abs/2112.12904
How social networks influence human behavior has been an interesting topic in applied research. Existing methods often utilized scale-level behavioral data to estimate the influence of a social network on human behavior. This study proposes a novel a
Externí odkaz:
http://arxiv.org/abs/2109.05200
Since the emergence of the worldwide pandemic of COVID-19, relevant research has been published at a dazzling pace, which yields an abundant amount of big data in biomedical literature. Due to the high volum of relevant literature, it is practically
Externí odkaz:
http://arxiv.org/abs/2106.07374