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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2017 Vol.7(11): 830-836 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.11.981

Influence of Sample Sizes in Extraction of Employability Skills of Engineering Graduates Using Factor Analysis

M. M. G. V. Shyamalee, K. S. Walgama, W. M. V. S. K. Wickramasinghe, and S. Dissanayake
Abstract—Identification of employability skills expected by employers in engineering disciplines is vital for fresh engineering graduates who enter to Sri Lankan work force. Factor Analysis was found to be one of the best methods for identifying these skills, and use of proper sample sizes in such an analysis is essential for reliable results. From this view point, this study establishes a method for investigation of applicable sample sizes in extraction of employability skills of civil engineering graduates. For this purpose, a questionnaire survey was carried out among civil engineering organizations to measure employer expectation on thirteen technical and fifteen nontechnical specific attributes identified as important. These attributes were measured using five point Likert scale based on their importance levels. In the factor analysis process, the communality values of each attribute that represent the degree of participation in the analysis was considered as the key indicators to examine their consistency with effective sample sizes. This study used fifty random samples generated for sample sizes ranging from 25 to 100 with 25 increments and the total sample size 122. From the results, it was found that the communality values showed consistent trend above the sample size 75. Moreover, it should be noted that questionnaire should be properly designed and also respondents should be correctly chosen when this sample size is selected for questionnaire surveys. Finally the finding of this study will help in planning and conducting questionnaire surveys effectively and data analysis with a proper sample sizes in order to make reliable predictions in related studies.

Index Terms—Employability skills, factor analysis, random samples, sample size.

M. M. G. V. Shyamalee is with the Industrial Training and Career Guidance Unit, Faculty of Engineering, University of Peradeniya, Sri Lanka (e-mail: shyamalee@pdn.ac.lk).
K. S. Walgama is with the Department of Engineering Mathematics, Faculty of Engineering, University of Peradeniya, Sri Lanka (e-mail: kswalgama@pdn.ac.lk).
W. M. V. S. K. Wickramasinghe is with the Department of Civil Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka (e-mail: vskw@pdn.ac.lk).
S. Dissanayake is with the Department of Civil Engineering, Kansas State University, 2118 Fiedler Hall, Manhattan, KS, 66506, USA (e-mail: sunanda@ksu.edu).

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Cite: M. M. G. V. Shyamalee, K. S. Walgama, W. M. V. S. K. Wickramasinghe, and S. Dissanayake, "Influence of Sample Sizes in Extraction of Employability Skills of Engineering Graduates Using Factor Analysis," International Journal of Information and Education Technology vol. 7, no. 11, pp. 830-836, 2017.

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