Exploratory Factor Analysis of Green Innovative Skill Elements in Building Construction Programme for Economic Sustainability
Samaila Hamza1, Aede Hatib Bin Musta’amal @ Jamal2, Yusri Bin Kamin3

1Samaila Hamza, Faculty of Technology Education, Abubakar Tafawa Balewa University Bauchi Nigeria.
2Aede Hatib Bin Musta’amal @ Jamal, School of Education, Universiti Teknologi Malaysia, Malaysia.
3Yusri Bin Kamin, School of Education, Universiti Teknologi Malaysia, Malaysia.
Manuscript received on 15 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 465-473 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A10770581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Exploratory factor analysis (EFA) methodically simplify interrelated measures and explore the likely causal factor structure of a set of observed variables without striking a predetermined structure on the result. The purpose of this research is explore the elements of green innovative skills that are considered for integration in building construction courses at technical colleges for economic sustainability in Nigeria. In this study, Data was collected using quantitative approach using a sample of 308 respondents. The identified elements were analysed via descriptive statistics (mean and standard deviation) and Exploratory Factor analysis (EFA) which will greatly contribute to the body of knowledge. For the EFA, the recommended assumption were duly met and was conducted to test the factorial validity (construct) and to eliminate poor variables if found (observed variables) with a view to increasing the probability of Goodness-of-Fit for the results. In this analysis “Principal component analysis (PCA)” was the extraction method, “Varimax” was selected for factor rotation.In testing the construct validity; correlation matrix (>.3 and <.9) was calculated to confirm the inter-item correlation; “Kaiser-MeyerOlkin KMO of (>.5) and anti-image correlations AIs diagonals’ value of (>.5) were computed to test the sampling adequacy. “Barltts’s test” (Significant at 0.000) was conducted to test whether the correlation between the variables are sufficiently large for factor analysis; and “communalities” were calculated to test the proportion of common variance within variables; and the percentage of the total variance explained (> 60%) were computed and shown. The findings for this study includeability to;plug into different networks across the globe and identify the nature of a problem your product or service will be solving. It is recommended that to achieve economic sustainability via the contribution of the building construction sector, there is need for proper utilization of these findings to enable BCT students acquire green innovation skills.
Keywords: Green Skills, Innovative Skills, Economic Sustainability, Building Construction Trade.
Scope of the Article: Construction Economics