Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Mike W.-L. Cheung"'
Autor:
Anita L. Dharan, Stephen C. Bowden, Alan Lai, Andre D.H. Peterson, Mike W.-L. Cheung, Wessel Woldman, Wendyl J. D'Souza
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107665- (2021)
This article describes source data from a systematic review and meta-analysis of electroencephalography (EEG) and magnetoencephalography (MEG) studies investigating functional connectivity in idiopathic generalized epilepsy. Data selection, analysis
Externí odkaz:
https://doaj.org/article/5dee392b406548b9842542822a41a63d
Autor:
Mike W.-L. Cheung
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
In the social and behavioral sciences, it is recommended that effect sizes and their sampling variances be reported. Formulas for common effect sizes such as standardized and raw mean differences, correlation coefficients, and odds ratios are well kn
Externí odkaz:
https://doaj.org/article/075edd7c06e44e7ab39703614af476f3
Autor:
Mike W.-L. Cheung, Suzanne eJak
Publikováno v:
Frontiers in Psychology, Vol 7 (2016)
Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theorie
Externí odkaz:
https://doaj.org/article/196542a9f4cd4fa29ff641121a9eb9fb
Autor:
Mike W.-L. Cheung
Publikováno v:
Frontiers in Psychology, Vol 5 (2015)
The metaSEM package provides functions to conduct univariate, multivariate, and three-level meta-analyses using a structural equation modeling (SEM) approach via the texttt{OpenMx} package in R statistical platform. It also implements the two-stage S
Externí odkaz:
https://doaj.org/article/7931ac39997744fcbe3a1a22f34f1182
Publikováno v:
Psychometrika, 87(1), 12-46. Springer New York
A growing number of publications focus on estimating Gaussian graphical models (GGM, networks of partial correlation coefficients). At the same time, generalizibility and replicability of these highly parameterized models are debated, and sample size
Autor:
Fei Gu, Mike W.‐L. Cheung
Publikováno v:
British Journal of Mathematical and Statistical Psychology.
Publikováno v:
Multivariate behavioral research.
Redundancy analysis (RA) is a multivariate method that maximizes the mean variance of a set of criterion variables explained by a small number of redundancy variates (i.e., linear combinations of a set of predictor variables). However, two challenges
Autor:
Mike W.-L. Cheung, Jeffrey C. Valentine, Hayley D. Seely, Olivia Alexander, Ryan Y. Hong, Eric Smith, Samantha C. Patton, Patrick Pössel, Lucas T. Huckaby, Jessica M. Hatton
Publikováno v:
Prevention Science. 23:346-365
In this paper, we show how the methods of systematic reviewing and meta-analysis can be used in conjunction with structural equation modeling to summarize the results of studies in a way that will facilitate the theory development and testing needed
Autor:
Mike W.-L. Cheung, Aaron J.-M. Lim
Publikováno v:
Behavior Research Methods. 54:1063-1077
Missing data is a common occurrence in confirmatory factor analysis (CFA). Much work had evaluated the performance of different techniques when all observed variables were either continuous or ordinal. However, few have investigated these techniques
Publikováno v:
Mindfulness. 12:2613-2623
This meta-analytic study examined average effect sizes across studies for the association between dispositional mindfulness and gratitude, dispositional mindfulness and emotional intelligence, and emotional intelligence and gratitude. The study also