Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Johnson Ching-Hong Li"'
Autor:
Jaejin Kim, Johnson Ching-Hong Li
Publikováno v:
Methodology, Vol 19, Iss 4, Pp 323-347 (2023)
Ordinary least squares (OLS) regression is widely employed for statistical prediction and theoretical explanation in psychology studies. However, OLS regression has a critical drawback: it becomes less accurate in the presence of outliers and non-ran
Externí odkaz:
https://doaj.org/article/015b1e581f9942df8a446d9e42094fce
Autor:
C. Allyson Jones, Johnson Ching-hong Li, Mark Hall, Renette Bertholet, Tarek Turk, Cheryl A. Sadowski
Publikováno v:
BMC Medical Education, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Peer-assisted learning (PAL) is exchanging knowledge between learners often from similar professional levels. Limited evidence exists on the effectiveness of PAL between different healthcare professions. The purpose of this study
Externí odkaz:
https://doaj.org/article/c1437757ea08407383fa00750f78e7c7
Autor:
Johnson Ching-Hong Li
Publikováno v:
Methodology, Vol 18, Iss 2, Pp 99-125 (2022)
Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s correlation (r) is a widely-employed statistic for assessing bivariate linearity. However, the accuracy of r is known to decrease when data contain
Externí odkaz:
https://doaj.org/article/3d2b82e93cd54f27b6defee5fa95382f
Publikováno v:
Methodology, Vol 17, Iss 1, Pp 1-21 (2021)
Evaluating how an effect-size estimate performs between two continuous variables based on the common-language effect size (CLES) has received increasing attention. While Blomqvist (1950; https://doi.org/10.1214/aoms/1177729754) developed a parametric
Externí odkaz:
https://doaj.org/article/45d8a2525c214b4f800bb4a8c910ee45
Autor:
Johnson Ching-Hong Li, Marcello Nesca, Rory Michael Waisman, Yongtian Cheng, Virginia Man Chung Tze
Publikováno v:
Methodological Innovations, Vol 14 (2021)
A common research question in psychology entails examining whether significant group differences (e.g. male and female) can be found in a list of numeric variables that measure the same underlying construct (e.g. intelligence). Researchers often use
Externí odkaz:
https://doaj.org/article/0d3925886a4c42d98ec4bf18b6922983
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
In psychological science, there is an increasing concern regarding the reproducibility of scientific findings. For instance, Replication Project: Psychology (Open Science Collaboration, 2015) found that the proportion of successful replication in psy
Externí odkaz:
https://doaj.org/article/eb12cf77c7364bd8a46692cdbac1ff2b
Autor:
Johnson Ching-Hong Li
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
In behavioral research, exploring bivariate relationships between variables X and Y based on the concept of probability-of-superiority (PS) has received increasing attention. Unlike the conventional, linear-based bivariate relationship (e.g., Pearson
Externí odkaz:
https://doaj.org/article/034317e28c934c1789768248a0fb432c
Autor:
Johnson Ching-Hong Li
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 4 (2018)
In behavioral sciences, researchers often examine whether any linear moderations exist in their studies. That is, they evaluate the extent (i.e., magnitude, direction) to which a linear effect of a predictor X (e.g., cognitive ability) on a criterion
Externí odkaz:
https://doaj.org/article/c2036157cd2d47998ec7d822f5358116
Autor:
Ian Gonzales, Johnson Ching-Hong Li
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-19
Publikováno v:
Current Psychology. 42:5392-5406
Acquiring strong math skills is essential in science, technology, engineering and mathematics (STEM) education. One important element to foster strong math skills is that students enjoy learning math early on during elementary school years. The contr