Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yiu-Fai Yung"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::385b67f2da287d5854f1076b84e9ef4a
https://pubmed.ncbi.nlm.nih.gov/36496553
https://pubmed.ncbi.nlm.nih.gov/36496553
Publikováno v:
Behaviormetrika. 48:143-168
In applications of canonical correlation analysis (CCA), rotation of the canonical loadings is recommended to facilitate the interpretation of canonical variates. Based on the COSAN modeling approach to CCA proposed by Gu et al. (Multivar Behav Res 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f7dd800113bf7b81f7de89fa91741b
https://doi.org/10.1007/s41237-020-00123-7
https://doi.org/10.1007/s41237-020-00123-7
We propose criteria for assessing the cross-cultural universality of cognitive representations that underlie complex psychological constructs. According to prototype theory, complex constructs are cognitively represented in terms of central and perip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7409ffb65271f7613020413e009b3a61
https://doi.org/10.31234/osf.io/j6y85
https://doi.org/10.31234/osf.io/j6y85
Publikováno v:
Multivariate Behavioral Research. 54:192-223
The mathematical connection between canonical correlation analysis (CCA) and covariance structure analysis was first discussed through the Multiple Indicators and Multiple Causes (MIMIC) approach. However, the MIMIC approach has several technical and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6916696713763c47fc0a570c9eefb113
https://doi.org/10.1080/00273171.2018.1512847
https://doi.org/10.1080/00273171.2018.1512847
Autor:
Yiu-Fai Yung, W. Clay Thompson
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030747718
To enhance the interpretability of factors in an exploratory factor analysis, a factor rotation transforms the initial factor pattern matrix into a rotated factor pattern matrix that optimizes a simplicity function or criterion. For rotations involvi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16b4627ee63604ee8b6e2bd4c3f9aa6b
https://doi.org/10.1007/978-3-030-74772-5_3
https://doi.org/10.1007/978-3-030-74772-5_3
Autor:
Ding-Geng Chen, Yiu-Fai Yung
There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 23:585-594
In the application of the Satorra–Bentler scaling correction, the choices of normal-theory weight matrices (i.e., the model-predicted vs. the sample covariance matrix) in the calculation of the correction remains unclear. Different software program
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2a6f55ec391d2641e4144087de61ca
https://doi.org/10.1080/10705511.2016.1141354
https://doi.org/10.1080/10705511.2016.1141354
Publikováno v:
British Journal of Mathematical and Statistical Psychology. 68:178-193
This paper demonstrates the usefulness and flexibility of the general structural equation modelling (SEM) approach to fitting direct covariance patterns or structures (as opposed to fitting implied covariance structures from functional relationships
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e5d1f970d5901bee635d24f8e9dff3a
https://doi.org/10.1111/bmsp.12034
https://doi.org/10.1111/bmsp.12034
Autor:
Yiu-Fai Yung, Hayashi, Kentaro
Publikováno v:
British Journal of Mathematical & Statistical Psychology. May2001, Vol. 54 Issue 1, p125. 14p.
Publikováno v:
Multivariate behavioral research. 30(4)
In covariance structure analysis, the asymptotically distribution-free (ADF) method fails to work satisfactorily unless the sample is extremely large. Simulation studies report that the ADF test statistics observed arc usually too large and correct m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c470408a50206bfda23e0f9c48e1f02
https://pubmed.ncbi.nlm.nih.gov/26790044
https://pubmed.ncbi.nlm.nih.gov/26790044