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2020 | OriginalPaper | Chapter

An Integrated Employability Aptitude Survey-Cognitive Test Model for Assessing Students’ Skills Retention Threshold

Authors : Faeza Saleh Dlhin, Adham Ahmad Mackieh, Kehinde Adewale Adesina

Published in: Industrial Engineering in the Digital Disruption Era

Publisher: Springer International Publishing

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Abstract

An integrated employability aptitude survey-cognitive test is proposed to assess the retention threshold of students with the view of appraising the capabilities of engineering students in readiness for engineering positions. Numerical ability, space visualization, numerical reasoning, and symbolic reasoning responses are adapted into the model. One hundred six undergraduate students of the Department of Industrial Engineering at Eastern Mediterranean University selected across freshman, sophomore, junior and senior in the 2016–2017 academic years assessed their aptitudes through the proposed EAS cognitive tests. Analysis of variance is employed to analyze the model, and the results indicate a significant difference between students’ abilities in terms of raw scores and respective academic levels. Academic years and CGPA groups are found to have significant effects on the student’s percentile. Additionally, strong correlations between CGPA and the student’s percentile are found. However, space visualization ability is not affected by academic progression.

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Literature
Bobko P, Roth PL, Potosky D (1999) Derivation and implications of a meta-analytic matrix incorporating cognitive ability, alternative predictors, and job performance. Pers Psychol 52:561–589CrossRef
Cassidy S (2007) Assessing inexperienced students’ ability to self-assess: exploring links with learning style and academic personal control. Assess Eval High Educ 32(3):313–330CrossRef
Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. ePub
Ebenuwa-Okoh EE (2010) Influence of age, financial status, and gender on academic performance among undergraduates. J Psychol 1(2):99–103CrossRef
Gabb R, Milne L, Zhongjun, C (2006) Understanding student attrition: a review of recent literature. Paper presented at Postcompulsory Education Centre, University of Melbourne
Hodges B, Bedford T, Hartley J, Klinger C, Murray N, O’Rourke J, Schofield N (2013) Enabling retention: processes and strategies for improving student retention in university-based enabling programs [Final report]. Office of Learning and Teaching
Hunter JE, Hunter RF (1984) Validity and utility of alternative predictors of job performance. Psychol Bull 96:72–98CrossRef
Jama MP, Mapesela MLE, Beylefeld AA (2008) Theoretical perspectives on factors affecting the academic performance of students. SAJHE 22(5):992–1005
James T, Conradie H, Saint R, Browne M (2015) An exploratory study of the factors associated with an initial testing process: testing the testing. Int Stud Widening Particip 2(1):2–14
Jones R (2008) Student retention and success: a synthesis of research. Higher Education Academy
Kozhevnikov M, Thornton R (2006) Real-time data display, spatial visualization ability, and learning force and motion concepts. J Sci Educ Technoogy 15(1):1–22
Rose-Adams J, Lindsay H (2012) What retention’ means to me: the position of the adult learner in student retention. Widening Particip Lifelong Learn 14:146–164
Ruch WW, Stang SW, McKillip RH, Dye DA (1994) Technical manual for the employee aptitude survey, 2nd edn. Psychological Sciences, Los Angeles
Schmidt FL (2002) The role of general cognitive ability and job performance: why there cannot be a debate. Hum Perform 15:187–210CrossRef
Schmitt N, Rogers W, Chan D, Sheppard L, Jennings D (1997) Adverse impact and predictive efficiency of various predictor combinations. J Appl Psychol 82:719–730CrossRef
Schmidt FL, Hunter JE, Pearlman K (1981) Task differences and the validity of aptitude tests in selection: a red herring. J Appl Psychol 66:166–185CrossRef
Schmidt FL, Hunter JE (1999) Bias in standardized educational and employment tests as justification for racial preferences in affirmative action programs. In: Leicht KT (ed) The future of affirmative action, vol 17. JAI, Stanford, pp 285–302
Sackett PR, Schmitt N, Ellingson JE, Kabin MB (2001) High-states testing in employment, credentialing, and higher education: prospects in a post-affirmative action world. Am Psychol 56:302–318CrossRef
Metadata
Title
An Integrated Employability Aptitude Survey-Cognitive Test Model for Assessing Students’ Skills Retention Threshold
Authors
Faeza Saleh Dlhin
Adham Ahmad Mackieh
Kehinde Adewale Adesina
Copyright Year
2020
Book
Industrial Engineering in the Digital Disruption Era

Print ISBN: 978-3-030-42415-2

Electronic ISBN: 978-3-030-42416-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-42416-9_3

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