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.
In: GSE-Global Summit on Education 2013, 11-12 March 2013, Dynasty Hotel, Kuala Lumpur.
Abstract
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 long- standing 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.
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