Pembinaan dan Penilaian Instrumen Ujian Aptitud Kemasukan ke Institut Pengajian Tinggi Malaysia

Development and Evaluation of an Aptitute Test for Bachelor Degree Entrance in Malaysian Institution of Higher Learning

Authors

  • Zulkifley Mohamed Fakulti Sains dan Matematik, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia
  • Othman Lebar Fakulti Pembangunan Manusia, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia
  • Shahrizal Shamsuddin Fakulti Sains dan Matematik, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia

DOI:

https://doi.org/10.37134/jsml.vol5.2.2017

Keywords:

Pembinaan, penilaian, instrumen, Ujian Aptitud (UA), atribut taakulan matematik

Abstract

Artikel ini membincangkan pembinaan dan penilaian instrumen Ujian Aptitud (UA) yang digunakan bagi kemasukan ke program Sarjana Muda, Institut Pengajian Tinggi (IPT) Malaysia. Pendekatan kuantitatif dengan reka bentuk pembangunan penyelidikan yang melibatkan kaedah tinjauan digunakan dalam kajian ini. Pembinaan instrumen UA adalah berdasarkan model Benson dan Clark. Instrumen UA yang dibina terdiri daripada atribut taakulan matematik yang dikenal pasti melalui penelitian karya. Instrumen UA dinilai oleh enam orang pakar dalam bidang matematik, statistik, bahasa dan pentaksiran pendidikan dan diuji ke atas sampel kajian. Kesahan soalan UA dinilai berdasarkan Nisbah Kesahan Kandungan (NKK) manakala pekali Kuder Richardson (KR20) digunakan bagi menilai kebolehpercayaan. Sampel yang menjadi subjek kajian dipilih menggunakan kaedah pensamplean berstrata terdiri daripada 270 pelajar Sijil Tinggi Persekolahan Malaysia (STPM), Matrikulasi dan Diploma yang memasuki salah sebuah IPT tempatan. Kajian yang dilakukan berjaya membina instrumen UA yang mengandungi 15 soalan algebra, 13 soalan analisis data dan kebarangkalian, 13 soalan nombor dan operasi, dan 16 soalan geometri dan pengukuran. Dapatan kajian menunjukkan bahawa 91 peratus soalan memenuhi kesahan kandungan dengan NKK melebihi .67. Ujian kebolehpercayaan terhadap soalan yang dibina mendapat nilai KR20 pada julat .80 dan .93, manakala nilai KR20 bagi keseluruhan soalan adalah .87. Kesimpulannya, kajian yang dijalankan berjaya membina dan menilai instrumen UA bagi kemasukan ke IPT. Implikasinya, instrumen UA yang dibina sesuai digunakan sebagai salah satu kaedah penilaian kemasukan ke IPT dan boleh diperluas penggunaannya kepada agensi-agensi yang menawarkan pembiayaan pengajian dalam memilih set pelajar yang terbaik.

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This article discusses the development and evaluation of an Aptitude Test (AT) instrument used for bachelor degree programs entrance in Malaysian Institution of Higher Learnings (IHLs). The quantitative approach with research and development designs involving the survey method was utilized in this study. The development of the AT instrument was based on Benson and Clark model. The developed AT instrument consists of mathematics reasoning attributes that were determined by reviewing of the literature. The AT instrument was evaluated by six experts in the field of mathematics, statistics, language, and education assessment and was tested on the studied sample. The validity of AT questions was evaluated based on the Content Validity Ratio (CVR) while Kuder Richardson (KR20) coefficient was used to evaluate its reliability. The sample that was chosen as a study subject was selected using stratified sampling consisted of 270 Malaysia Higher Certificate of Education (HSE), Matriculation and Diploma students enrolled in one of local IHLs. The study successfully developed the AT instrument which consists of 15 algebra questions, 13 probability and data analysis questions, 13 number and operation questions, and 16 measurement and geometry questions. The findings revealed that 91 percent of the questions fulfilled the content validity requirement with the CVR exceeded .67. The reliability of the developed questions showed the KR20 value is in the range between .80 and .93, while the KR20 value of the overall questions was .87. In conclusion, the study has successfully developed and evaluated the AT instrument for IHLs entrance. The implication, AT instrument that was developed is suitable to be used as one of the methods to assess IHLs entrance and its usage can be extended to select the best set of students for other agencies that offered study funds.

Keywords: Development, evaluation, Aptitute Test (AT) instrument, mathematics reasoning attributes

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References

Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich, P.R., Raths, J., & Wittrock, M.C., (Pnyt.) (2001). A Taxonomy for learning, teaching, and assessing. New York, NY: Addison Wesley Longman Inc.

Benson, J., & Clark, F. (1982). A guide for instrument development and validation. The American Journal of Occupational Therapy, 36, 789-800. Diakses pada 8 Nov. 2016, dpd:
http://dx.doi. org/10.5014/ajot.36.12.789

Benson, J., & Clark, F. (1982). A guide for instrument development and validation. American Journal of Occupational Therapy, 36(12), 789-800.

Coaley, K. (2014). An introduction to psychological assessment and psychometrics. London: Sage Publication.

Drost, E. A. (2011). Validity and reliability in social science research. Education Research and perspectives, 38(1), 105.

Fischhoff, B., Crowell, N.A., & Kipke, M. (1999). Adolescent decision making: Implications for prevention programs. Washington, DC: National Academy Press.

Forehand, M. (2005). Bloom’s taxonomy: Original and revised. Dalam M. Orey (Pnyt.). Emerging perspectives on learning, teaching and technology. Diakses pada 8 Nov. 2016, dpd:
http://www. textbookequity.org/oct/Textbooks/Orey_Emergin_Perspectives_Learning.pdf

Graves, J.L. (2002). The misuse of life history theory: J.P. Rushton and the pseudoscience of racial hierarchy. Dalam J.M. Fish (pnyt). Race and intelligence: Separating science from myth. Nahwah, NJ: Lawrence Erlbaum Associates.

Hashmi, M. A., Zeeshan, A., Saleem, M., & Akbar, R. A. (2012). Development and validation of an aptitude test for secondary school mathematics students. Bulletin of Education and Research, 34(1).

Hogan, T. P. (2013). Psychological testing: A practical introduction. Wiley Global Education.

Jeotee, K. (2012). Reasoning skills, problem solving ability and academic ability: implications for study programme and career choice in the context of higher education in Thailand (Doctoral dissertation, Durham University).

Kaplan, R. M., & Saccuzzo, D. P. (2017). Psychological testing: Principles, applications, and issues. Nelson Education.

Kaplan, R. M., & Saccuzzo, D. P. (2009). Psychological testing: Principles, applications, and issues. (7th Edition). Belmont, CA: Wadsworth.

Kaufman, A. S., & Kaufman, N. L. (2004). Kaufman brief intelligence test. John Wiley & Sons, Inc.

Kong, Q. P., Wong, N. Y., & Lam, C. C. (2003). Student engagement in mathematics: Development of instrument and validation of construct. Mathematics Education Research Journal, 15(1), 4-21.

Kuncel, N.R., & Hezlett, S.A. (2007). Standardized tests predict graduate students’ success. Science, 315, 1080–1081.

Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel psychology, 28(4), 563-575.

Martha, K. (2009). Factors affecting academic performance of undergraduate students at Uganda Christian University. Unpub. Master of Arts in Educational Management Dissertation, Makerere University, Uganda.

McCallum, R.S., & Bracken, B.A. (2005). The universal nonverbal intelligence test, a multidimensional measure of intelligence. In D.P., Flanagan, & P.L., Harrison. Contemporary intellectual assessment: Theories, tests, and issues (3rd Edition). New York, NY: Guilford Press. 425-440.

Mohd. Majid Konting (2004). Kaedah penyelidikan pendidikan. Kuala Lumpur: Dewan Bahasa dan Pustaka.

Naglieri, J.A., & Otero, T.M. (2012). The cognitive assessment system: From theory to practice. Dalam D.P. Flanagan, & P.L. Harrison. Contemporary intellectual assessment: Theories, tests, and issues (3rd Edition). New York, NY: Guilford Press. 376-399.

Raza, M. A., & Shah, A. F. (2011). Impact of favourite subject towards the scientific aptitude of the students at elementary level. Pakistan Journal of Social Sciences (PJSS), 31(1), 135-143.

Rudner, L.M., & Schafer. W.D. (2002). What teachers need to know about assessment. Washington, DC: National Education Association. Salkind, N.J., & Rasmussen, K. (2007). Encyclopaedia of measurement and statistics. London: Sage Publications.

Schrank, F.A., McGrew, K.S., & Mather, N. (2014). Woodcock–Johnson IV tests of cognitive abilities examiner’s manual, standard and extended batteries. Itasca, IL: Riverside. Mather, N. (2001). Woodcock-Johnson III Tests of Cognitive Abilities examiner’s manual. Riverside Pub..

Sternberg, R.J. (2007). Wisdom, intelligence, and creativity synthesized. New York, NY: Cambridge University Press.

Thorndike, R.L., Hagen, E.P., & Sattler, J.M. (1986). Stanford-Binet intelligence scale (4th Edition). Chicago, IL: Riverside.

Wechsler, D. (2004). The Wechsler intelligence scale for children (4th Edition). London: Pearson Assessment.

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Published

2017-12-01

How to Cite

Mohamed, Z., Lebar, O., & Shamsuddin, S. (2017). Pembinaan dan Penilaian Instrumen Ujian Aptitud Kemasukan ke Institut Pengajian Tinggi Malaysia: Development and Evaluation of an Aptitute Test for Bachelor Degree Entrance in Malaysian Institution of Higher Learning. Journal of Science and Mathematics Letters, 5, 16–27. https://doi.org/10.37134/jsml.vol5.2.2017

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