Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Ji Hoon RYOO"'
(Re-)Designing a measure of student’s attitudes toward science: a longitudinal psychometric approach
Autor:
Robert H. Tai, Ji Hoon Ryoo, Angela Skeeles-Worley, Katherine P. Dabney, John T. Almarode, Adam V. Maltese
Publikováno v:
International Journal of STEM Education, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract Background Capturing measures of students’ attitudes toward science has long been a focus within the field of science education. The resulting interest has led to the development of many instruments over the years. There is considerable di
Externí odkaz:
https://doaj.org/article/a81f23d7ad304308a97dca18c16a795a
Autor:
Ji Hoon Ryoo, Seon Hwa Lee, Dae-Lyong Ha, Kyung Duck Park, Jaehee Rho, Gyeong-Hun Park, Byung-Soo Kim, Kapsok Li, Chang Ook Park, Hye One Kim, Hei Sung Kim, Min Soo Jang, Dong Hun Lee, Yang Won Lee, Do Won Kim, Yong Hyun Jang, Seong-Jin Kim
Publikováno v:
Acta Dermato-Venereologica, Vol 102 (2022)
Patients with chronic itch describe their pruritus in a wide variety of ways. However, these subjective descriptions are often not taken into consideration by physicians. This study aimed to validate patients’ descriptions of pruritus, and to inves
Externí odkaz:
https://doaj.org/article/d9666865c2ce4c519d54d6cf3c0b4c15
Publikováno v:
SAGE Open, Vol 12 (2022)
In the development of cognitive science understanding human intelligence and mind, measurement of cognitive ability has played a key role. To address the development in data scientific point of views related to cognitive neuroscience, there has been
Externí odkaz:
https://doaj.org/article/45ce2b0503d84f599df738bc51f30e84
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0247592 (2021)
With advances in neuroimaging and genetics, imaging genetics is a naturally emerging field that combines genetic and neuroimaging data with behavioral or cognitive outcomes to examine genetic influence on altered brain functions associated with behav
Externí odkaz:
https://doaj.org/article/55f5b40129bb48a294ad313b6d17fe11
Autor:
Paige K Berger, Jasmine F Plows, Roshonda B Jones, Tanya L Alderete, Chloe Yonemitsu, Marie Poulsen, Ji Hoon Ryoo, Bradley S Peterson, Lars Bode, Michael I Goran
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228323 (2020)
BackgroundInfant cognitive development is influenced by maternal factors that range from obesity to early feeding and breast milk composition. Animal studies suggest a role for human milk oligosaccharide (HMO), 2'-fucosyllactose (2'FL), on learning a
Externí odkaz:
https://doaj.org/article/b2ec117cc44f4008bf0d03d1e5cefa88
Publikováno v:
Mathematics, Vol 8, Iss 11, p 2076 (2020)
Latent class analysis (LCA) has been applied in many research areas to disentangle the heterogeneity of a population. Despite its popularity, its estimation method is limited to maximum likelihood estimation (MLE), which requires large samples to sat
Externí odkaz:
https://doaj.org/article/1b3a3c5232774e5698bb84d8494cd700
Publikováno v:
Symmetry, Vol 12, Iss 9, p 1514 (2020)
Fuzzy clustering has been broadly applied to classify data into K clusters by assigning membership probabilities of each data point close to K centroids. Such a function has been applied into characterizing the clusters associated with a statistical
Externí odkaz:
https://doaj.org/article/a8efedea7d844d02a59a05123564bdde
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Applications of latent transition analysis (LTA) have emerged since the early 1990s, with numerous scientific findings being published in many areas, including social and behavioral sciences, education, and public health. Although LTA is effective as
Externí odkaz:
https://doaj.org/article/4b318768dee54f14923a1dad1d283a80
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
As in cross sectional studies, longitudinal studies involve non-Gaussian data such as binomial, Poisson, gamma, and inverse-Gaussian distributions, and multivariate exponential families. A number of statistical tools have thus been developed to deal
Externí odkaz:
https://doaj.org/article/d0b44d7478ac42729191337e2d1afd76
Autor:
Ji Hoon Ryoo, Heungsun Hwang
Publikováno v:
Frontiers in Psychology, Vol 8 (2017)
Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling (SEM). GSCA regards weighted composites or components of indicators as proxies for latent variables and estimates model parameter via least
Externí odkaz:
https://doaj.org/article/ff5e9ae94bba448a966472c94f0b45ad