Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria

The measure of quality assurance evaluation plays a vital role in quality enhancement determinations, precisely in university educational institutions. Recently, Nigeria Government had to embark on laudable policy programmes that will enhance the quality of university educational institutions. Bu...

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Main Authors: Bolaji, Bojuwon Yusuf, Mohd Ali, Hairuddin
Format: Article
Language:English
Published: World Conferences.net 2013
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Online Access:http://irep.iium.edu.my/36447/
http://irep.iium.edu.my/36447/
http://irep.iium.edu.my/36447/1/GSE_Journal_of_Education_2013.pdf
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spelling iium-364472017-06-13T03:03:28Z http://irep.iium.edu.my/36447/ Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria Bolaji, Bojuwon Yusuf Mohd Ali, Hairuddin LB2300 Higher Education The measure of quality assurance evaluation plays a vital role in quality enhancement determinations, precisely in university educational institutions. Recently, Nigeria Government had to embark on laudable policy programmes that will enhance the quality of university educational institutions. But to fulfill this responsibility, is frequently thwarted by longstanding challenges of access, inadequate funding, facilities, governance, curriculum problem, human resource and technology input. The challenges face by university educational institutions have led to a rigorous quest for this research. The drive of this research was accompanied to test and evaluate its psychometric properties of the existing QAEM Input process (IP) NUC accreditation instruments and as well to examine the dimensionality, reliability and construct's validity using a confirmatory factor's analysis approach) of QAEM instruments in order to enhance the quality of evaluation of the nation’s university education system. To this end, the research employs a cross-sectional survey data approach collected from the survey of 16 universities. Data has been collected using the personal contact approach suggested by Sureshchandar et al., (2004). A total of 1600 survey/questionnaires were distributed and data has been collected from sixteen universities, which represent one thousand six hundred (1600) respondents. This is in line with the guideline for sample size decisions as proposed by Krejcie and Morgan, (1970). The respondents cutting across all spheres of the university community which includes vice-chancellors (university administrators), management teams, NUC staff, Teaching staff and non- teaching staff, director/deans/HODs and students in the North Central Geo- Political Zone of Nigeria. Nevertheless, these preliminary reports employed quota sampling technique for selecting survey participants. Factor extracted was achieved using an Exploratory Factor Analysis (EFA), Principal Component Analysis (PCA)(using SPSS 18.0) and measurement model of confirmatory factor analysis (CFA) techniques was performed to extract the fundamental factors, to check for factorial validity of the dimensional constructs and to screen the instruments into appropriate QAEM dimensions(though Structural Equation modeling (SEM) using AMOS 18.0. The findings of this research revealed that all the determinants of the dimensional constructs for the input process, proposed fulfilled the standard for measuring quality services in university educational institutions. It was found that the compound reliability, internal consistency of input process survey instruments evaluated through coefficient alpha and validity constantly deemed to be important is above the lower recommended limit of 0.7 Nunnally, (1978) which shows that input process survey instruments are internally consistent and reliable. Considering the overall model fit indices, the equations that describe the model fit characterize the information well. Hence the remaining fit- Indices show that they are within the tolerable threshold range. Field of Research: Quality, NUC, MAS, QAEM and IP. World Conferences.net 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36447/1/GSE_Journal_of_Education_2013.pdf Bolaji, Bojuwon Yusuf and Mohd Ali, Hairuddin (2013) Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria. GSE Journal of Education 2013 Emerging Trends for Sustainability in Glocal Education: Opportunities and Challenges, 1 (1). pp. 213-245. ISSN 2289-3970 http://www.worldconferences.net/gse2013/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic LB2300 Higher Education
spellingShingle LB2300 Higher Education
Bolaji, Bojuwon Yusuf
Mohd Ali, Hairuddin
Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria
description The measure of quality assurance evaluation plays a vital role in quality enhancement determinations, precisely in university educational institutions. Recently, Nigeria Government had to embark on laudable policy programmes that will enhance the quality of university educational institutions. But to fulfill this responsibility, is frequently thwarted by longstanding challenges of access, inadequate funding, facilities, governance, curriculum problem, human resource and technology input. The challenges face by university educational institutions have led to a rigorous quest for this research. The drive of this research was accompanied to test and evaluate its psychometric properties of the existing QAEM Input process (IP) NUC accreditation instruments and as well to examine the dimensionality, reliability and construct's validity using a confirmatory factor's analysis approach) of QAEM instruments in order to enhance the quality of evaluation of the nation’s university education system. To this end, the research employs a cross-sectional survey data approach collected from the survey of 16 universities. Data has been collected using the personal contact approach suggested by Sureshchandar et al., (2004). A total of 1600 survey/questionnaires were distributed and data has been collected from sixteen universities, which represent one thousand six hundred (1600) respondents. This is in line with the guideline for sample size decisions as proposed by Krejcie and Morgan, (1970). The respondents cutting across all spheres of the university community which includes vice-chancellors (university administrators), management teams, NUC staff, Teaching staff and non- teaching staff, director/deans/HODs and students in the North Central Geo- Political Zone of Nigeria. Nevertheless, these preliminary reports employed quota sampling technique for selecting survey participants. Factor extracted was achieved using an Exploratory Factor Analysis (EFA), Principal Component Analysis (PCA)(using SPSS 18.0) and measurement model of confirmatory factor analysis (CFA) techniques was performed to extract the fundamental factors, to check for factorial validity of the dimensional constructs and to screen the instruments into appropriate QAEM dimensions(though Structural Equation modeling (SEM) using AMOS 18.0. The findings of this research revealed that all the determinants of the dimensional constructs for the input process, proposed fulfilled the standard for measuring quality services in university educational institutions. It was found that the compound reliability, internal consistency of input process survey instruments evaluated through coefficient alpha and validity constantly deemed to be important is above the lower recommended limit of 0.7 Nunnally, (1978) which shows that input process survey instruments are internally consistent and reliable. Considering the overall model fit indices, the equations that describe the model fit characterize the information well. Hence the remaining fit- Indices show that they are within the tolerable threshold range. Field of Research: Quality, NUC, MAS, QAEM and IP.
format Article
author Bolaji, Bojuwon Yusuf
Mohd Ali, Hairuddin
author_facet Bolaji, Bojuwon Yusuf
Mohd Ali, Hairuddin
author_sort Bolaji, Bojuwon Yusuf
title Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria
title_short Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria
title_full Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria
title_fullStr Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria
title_full_unstemmed Preliminary finding of psychometric properties of the existing Quality Assurance Evaluation Model (QAEM) for National Universities Commission (NUC) of the federal Republic of Nigeria
title_sort preliminary finding of psychometric properties of the existing quality assurance evaluation model (qaem) for national universities commission (nuc) of the federal republic of nigeria
publisher World Conferences.net
publishDate 2013
url http://irep.iium.edu.my/36447/
http://irep.iium.edu.my/36447/
http://irep.iium.edu.my/36447/1/GSE_Journal_of_Education_2013.pdf
first_indexed 2023-09-18T20:52:13Z
last_indexed 2023-09-18T20:52:13Z
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