International Journal of Academic Research in Business and Social Sciences

search-icon

An Exploratory Factor Analysis on Generating of Quality of Science Teacher Attributes From Malaysian Science Teacher Perspectives

Open access
This study is to develop and establish the reliability attributes of quality science teacher from Malaysian science teacher perspectives. This paper discusses the validity and reliability of quality science teacher attributes obtained through the Exploratory Factor Analysis (EFA) process using IBM SPSS Version 21. The design of quantitative survey method used in this study to collect data through attributes of quality science teacher instrument (AQSTI) which has been generated from the previous studies. AQSTI consist of 68 item under three constructs namely value, skill and knowledge were put together to form a questionnaire using a 5-point Likert-scaled. Participants consisted of 230 science teacher in secondary school. The instrument was representing indicators for quality science teacher attributes. The internal consistency using Cronbach’s coefficient alpha for every construct is greater than 0.800. For the overall instrument using the 68 items that comprised the three constructs, internal consistency reliability revealed a Cronbach’s coefficient alpha of 0.900. From the analysis, 42 items of quality science teachers generate where 19 items retained under values attributes, six item for skills attribute and, 17 item for knowledge attributes. However, there were 26 items absent from the original questionnaire, thus the items were discarded because they were found inappropriate for representing constructs proposed. Consequently, a total of 42 items representing indicators for these attributes of a quality science teacher. Furthermore, all the attributes used to collecting data to develop attributes of quality science teacher for the real study to improve the quality of student teachers, in terms of values, skills and knowledge.
1. Abdullah, M. N., & Jasmi, K. A. (2014). Characteristics of excellent Islamic education lecturers in Teaching Education Institute of Malaysia. International Journal of Psychology and Counselling, 6(11), 145–151. doi:10.5897/IJPC2014.0285
2. Aderi, M., Noh, C., Razak, K. A., & Kasim, M. Y. (2015). Impact of lecturer teaching towards self formation of students, 22–29.
3. Ahmad, A. (2008). Kepentingan Pendidikan Dalam Pembentukan Kualiti Hidup Sejahtera.
4. Andrew L. Comrey, H. B. L. (1992). A first course in factor analysis, 181.
5. Bahagian Pendidikan Guru. (2009). Standard Guru Malaysia. Standard Guru Malaysia, 1–187. doi:10.1007/s13398-014-0173-7.2
6. Chong, S., & Cheah, H. M. (2009). A values, skills and knowledge framework for initial teacher preparation programmes. Australian Journal of Teacher Education, 34(3), 1–17. doi:10.14221/ajte.2009v34n3.1
7. Gorsuch, R. L. (1983). Factor Analysis (second edi.). Hillsdale: Lawrence Erlbaum Associates.
8. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Pearson (7th ed.). Pearson Prentice Hall. doi:10.1016/j.ijpharm.2011.02.019
9. Halim, L., & Meerah, S. M. (2006). What Malaysian science teacher need to improved their science , 2(2).
10. Hertzog, M. A. (2008). Considerations in Determining Sample Size for Pilot Studies. Research in Nursing & Health, 31(4), 341–354. doi:10.1002/nur
11. Malaysia, K. (Ed.). (2013). Pelan Pembangunan Pendidikan Malaysia 2013 - 2025. Education, 27(1), 1–268. doi:10.1016/j.tate.2010.08.007
12. Matsunaga, M. (2010). How to factor-analyze your data right?: Do ’ s , Don ’ ts , and How-To ’ s . International Journal of Psychological Research, 3(2010), 97–110.
13. Nor’ain, M. T., Nuruhuda, A. R., Azwani, M., & Noraini, I. (2014). Comparison Between Teaching Practices Based on Teacher Educators ’ Perception and Learning Experiences Based on Student Teachers ’ Perception At Higher Education Institution. Research Journal in Organizational Psychology & Educational Studies, 3(6), 437–445.
14. Reinhard, J. C. (2006). Exploratory Factor Analysis. Communication Research Statistics, 1904(Darlington), 404–428. doi:10.1017/CBO9781107415324.004
15. Soiferman, L. K. (2010). Compare and Contrast Inductive and Deductive Research Approaches. Research Approach.
16. Steven Lovett; Antonette M.Zeiss & Gloria D. Heinemann. (2002). Team performance in helth care assessment and development. (G. D. & A. M. Z. Heinemann, Ed.)Assessment and development: Now and int the future (1st ed.). Springer US. doi:10.1007/978-1-4615-0581-5
17. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). doi:10.1037/022267
18. Toni Rietveld, R. van H. (1993). Statistical techniques for the study of language and language behaviour. (M. de Gruyter, Ed.). Berlin, New York: Walter de Gruyter & Co.
Kosni, A. N. (2017). An Exploratory Factor Analysis on Generating of Quality of Science Teacher Attributes From Malaysian Science Teacher Perspectives. International Journal of Academic Research in Business and Social Sciences, 7(3), 558-567.