Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]

This study proposed a model that integrates social capital in predicting mathematical literacy (ML). A five-factor (parents, family, teacher, friend and the Internet) 16-item social capital model measured in Likert scales ranging from 1 (strongly disagree) to 10 (strongly agreed) was developed and v...

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Main Authors:	Kor, Liew Kee, Ahmad, Rosidah, Ali, Siti Meriam, Chuah, Jacqueline Bee Peng
Format:	Research Reports
Language:	English
Published:	Institute of Research Management & Innovation (IRMI) 2014
Subjects:	Educational psychology Learning. Learning strategies Learning ability
Online Access:	http://ir.uitm.edu.my/id/eprint/19659/ http://ir.uitm.edu.my/id/eprint/19659/1/LP_KOR%20LIEW%20KEE%20IRMI%20K%2014_5.pdf

id	uitm-19659
recordtype	eprints
spelling	uitm-196592019-02-13T03:55:52Z http://ir.uitm.edu.my/id/eprint/19659/ Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.] Kor, Liew Kee Ahmad, Rosidah Ali, Siti Meriam Chuah, Jacqueline Bee Peng Educational psychology Learning. Learning strategies Learning ability This study proposed a model that integrates social capital in predicting mathematical literacy (ML). A five-factor (parents, family, teacher, friend and the Internet) 16-item social capital model measured in Likert scales ranging from 1 (strongly disagree) to 10 (strongly agreed) was developed and validated. A Mathematics Literacy Test consisted of questions selected from PISA 2006 released mathematics items was administered. A sample of 1021 respondents from 11 secondary schools was selected. Structural Equation Modelling (SEM using AMOS 22) was employed to test the measurement model and the structural model. Results showed that the factor loadings of all five-factor were above 0.6. The goodness-of-fit test indicated the fit indices GFI = 0.934, AGFI = 0.904, CFI = 0.934, NFI = 0.903 and RMSEA= 0.070 met the criteria set for model fit. The hypothesis testing supported the effect of the Internet and home economic capital, and the teacher factor on the ML. Parent, the Internet, and family as mediators had a negative effect on the relationship between parents’ educational attainment level and ML. It is relevant that we included the Internet as an additional social capital factor when striving to compete for global educational excellence in this information age. Institute of Research Management & Innovation (IRMI) 2014-12 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/19659/1/LP_KOR%20LIEW%20KEE%20IRMI%20K%2014_5.pdf Kor, Liew Kee and Ahmad, Rosidah and Ali, Siti Meriam and Chuah, Jacqueline Bee Peng (2014) Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]. [Research Reports] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Educational psychology Learning. Learning strategies Learning ability
spellingShingle	Educational psychology Learning. Learning strategies Learning ability Kor, Liew Kee Ahmad, Rosidah Ali, Siti Meriam Chuah, Jacqueline Bee Peng Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]
description	This study proposed a model that integrates social capital in predicting mathematical literacy (ML). A five-factor (parents, family, teacher, friend and the Internet) 16-item social capital model measured in Likert scales ranging from 1 (strongly disagree) to 10 (strongly agreed) was developed and validated. A Mathematics Literacy Test consisted of questions selected from PISA 2006 released mathematics items was administered. A sample of 1021 respondents from 11 secondary schools was selected. Structural Equation Modelling (SEM using AMOS 22) was employed to test the measurement model and the structural model. Results showed that the factor loadings of all five-factor were above 0.6. The goodness-of-fit test indicated the fit indices GFI = 0.934, AGFI = 0.904, CFI = 0.934, NFI = 0.903 and RMSEA= 0.070 met the criteria set for model fit. The hypothesis testing supported the effect of the Internet and home economic capital, and the teacher factor on the ML. Parent, the Internet, and family as mediators had a negative effect on the relationship between parents’ educational attainment level and ML. It is relevant that we included the Internet as an additional social capital factor when striving to compete for global educational excellence in this information age.
format	Research Reports
author	Kor, Liew Kee Ahmad, Rosidah Ali, Siti Meriam Chuah, Jacqueline Bee Peng
author_facet	Kor, Liew Kee Ahmad, Rosidah Ali, Siti Meriam Chuah, Jacqueline Bee Peng
author_sort	Kor, Liew Kee
title	Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]
title_short	Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]
title_full	Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]
title_fullStr	Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]
title_full_unstemmed	Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]
title_sort	social capital structural modelling in mathematical literacy / kor liew kee ...[et al.]
publisher	Institute of Research Management & Innovation (IRMI)
publishDate	2014
url	http://ir.uitm.edu.my/id/eprint/19659/ http://ir.uitm.edu.my/id/eprint/19659/1/LP_KOR%20LIEW%20KEE%20IRMI%20K%2014_5.pdf
first_indexed	2023-09-18T23:03:00Z
last_indexed	2023-09-18T23:03:00Z
_version_	1777418298049167360

Social capital structural modelling in mathematical literacy / Kor Liew Kee ...[et al.]

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