Haziq Jamil
Haziq Jamil
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Latent Variable Models
Pairwise likelihood goodness of fit tests for binary factor models
Limited information goodness of fit (GOF) tests have gained recognition in the literature for high-dimensional multivariate categorical …
27 Jul 2023 4:10 PM — 5:25 PM
University of Maryland
Haziq Jamil
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Composite likelihood goodness-of-fit testing for binary factor models under simple random and complex survey sampling
Limited information goodness of fit (GOF) tests have gained recognition in the literature for high-dimensional multivariate categorical …
Haziq Jamil
,
Irini Moustaki
,
Chris Skinner
Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random
Methods for the treatment of item non-response in attitudinal scales and in large-scale assessments under the pairwise likelihood (PL) …
Myrsini Katsikatsou
,
Irini Moustaki
,
Haziq Jamil
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A latent variable model for maximal performance testing with dropouts for military applications
Soldiers are expected to perform complex and demanding tasks during operations, often while carrying a heavy load. It is therefore …
19 Nov 2020 2:30 PM — 3:30 PM
Lecture Room 2 (D2.8), Block D, Integrated Science Building, UBD
Haziq Jamil
Investigating the effect of load carriage on soldiers’ performances using structural equation models
Soldiers are required to perform tasks that call upon a complex combination of their physical and cognitive capabilities. For example, …
28 May 2020 1:00 PM — 2:00 PM
Online
Haziq Jamil
Scoring individual abilities using multilevel latent variable models
To devise a suitable statistical model to produce scores for individuals’ abilities relevant in the field of fitness and sports.
Last updated on 4 Sep 2023
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