EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA

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Main Author:	AARON LIM JIN MING
Other Authors:	PSYCHOLOGY
Format:	Theses and Dissertations
Language:	English
Published:	2020
Subjects:	missing data, full information maximum likelihood, multiple imputation, joint ordinal continuous, confirmatory factor analysis
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/171658
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-171658
record_format	dspace
spelling	sg-nus-scholar.10635-1716582020-07-22T13:14:56Z EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA AARON LIM JIN MING PSYCHOLOGY Cheung Wai Leung, Mike missing data, full information maximum likelihood, multiple imputation, joint ordinal continuous, confirmatory factor analysis Master's MASTER OF SOC.SCI. (RSH-FASS) 2020-07-21T18:00:29Z 2020-07-21T18:00:29Z 2020-02-07 Thesis AARON LIM JIN MING (2020-02-07). EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/171658 0000-0002-7613-0990 en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	missing data, full information maximum likelihood, multiple imputation, joint ordinal continuous, confirmatory factor analysis
spellingShingle	missing data, full information maximum likelihood, multiple imputation, joint ordinal continuous, confirmatory factor analysis AARON LIM JIN MING EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA
description	Master's
author2	PSYCHOLOGY
author_facet	PSYCHOLOGY AARON LIM JIN MING
format	Theses and Dissertations
author	AARON LIM JIN MING
author_sort	AARON LIM JIN MING
title	EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA
title_short	EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA
title_full	EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA
title_fullStr	EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA
title_full_unstemmed	EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA
title_sort	evaluating fiml and multiple imputation in joint ordinal-continuous measurement models with missing data
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/171658
_version_	1681101401194758144

EVALUATING FIML AND MULTIPLE IMPUTATION IN JOINT ORDINAL-CONTINUOUS MEASUREMENT MODELS WITH MISSING DATA

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