1. UKM Learning and Research Repository
  2. Journal Article / Artikel Jurnal
  3. Journal Content Pages/ Kandungan Halaman Jurnal
Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578888
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAinur A. K (UITM)
dc.contributor.authorSayang M. D (UITM)
dc.contributor.authorJannoo Z (UITM)
dc.contributor.authorYap B. W (UITM)
dc.date.accessioned2023-11-06T03:09:46Z-
dc.date.available2023-11-06T03:09:46Z-
dc.date.issued2017-04
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:116305
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578888-
dc.descriptionA Structural Equation Model (SEM) is often used to test whether a hypothesised theoretical model agrees with data by examining the model fit. This study investigates the effect of sample size and distribution of data (normal and non-normal) on goodness of fit measures in structural equation model. Simulation results confirm that the GoF measures are affected by sample size, whereas they are quite robust when data are not normal. Absolute measures (GFI, AGFI, RMSEA) are more affected by sample size while incremental fit measures such as TLI and CFI are less affected by sample size and non-normality.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-2-4
dc.rightsUKM
dc.subjectStructural equation model
dc.subjectGoodness-of-fit
dc.subjectNon-normality
dc.subjectSimulation
dc.titleSample size and non-normality effects on goodness of fit measures in structural equation models
dc.typeJournal Article
dc.format.volume25
dc.format.pages575-586
dc.format.issue2
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

Files in This Item:
File Description SizeFormat 
ukmvital_116305+Source01+Source010.PDF1.19 MBAdobe PDFThumbnail
View/Open
Show simple item record Recommend this item


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.