Alton-Lee, A. (2003). Best evidence synthesis: Quality teaching for diverse students
in schooling. Wellington: Ministry of Education.
Anthony, G., & Walshaw, M. (2009). Characteristics of effective teaching of mathematics: A view
from the West. Journal of Mathematics Education, 2(2), 147–164.
Asri, R. (2005). Belajar dan Pembelajaran. Jakarta: Rineka Cipta.
Australian Association of Mathematics Teacher. (2006). Standards for Excellence in Teaching
Mathematics in Australian School. Adelaide: The Australian Association of Mathematics Teachers Inc.
Ausubel, D. P. (1967). A cognitive structure theory of school learning. Instruction: Some
Contemporary Viewpoints. San Francisco: Chandler.
Awang, Z. (2012). A Handbook on SEM (Structural Equation Modeling), Using AMOS Graphic. Kota Bharu:
Universiti Teknologi Mara Kelantan.
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural
equation models. Journal of the Academy of Marketing Science, 40(1), 8–34.
Ball, D., Bass, H., & Hill, H. (2004). Knowing and using mathematical knowledge in teaching:
Learning what matters. In Proceedings for the 12th Annual Conference of the South African
Association for Research in Mathematics, Science and Technology Education. Durban: SAARMSTE.
Barber, M., & Mourshed, M. (2009). Shaping the future: How good education systems can become great
in the decade ahead. Report on the International Education Roundtable, 7.
Barlett, J. E., Kotrlik, J. W., & Higgins, C. C. (2001). Organizational research: Determining
appropriate sample size in survey research. Information Technology, Learning, and Performance
Journal, 19(1), 43.
Beauchamp, G., & Parkinson, J. (2008). Pupils’ attitudes towards school science as
they transfer from an ICT-rich primary school to a secondary school with fewer ICT resources: Does
ICT matter? Education and Information Technologies, 13(2), 103–118. doi: 10.1007/s10639-007-9053-5
Bernardo, A. B. (1998). The learning process: The neglected phenomenon in science and mathematics
education refrom in the Philippines. Science Education in the Philippnines: Challenges for
Development, 27-28.
Bhattacherjee, A. (2012). Social science research: principles, methods, and practices.
2nd edition. Zurich, Switzerland: Creative Commons Attribution.
Bolyard, J. J., & Moyer-Packenham, P. S. (2008). A review of the literature on mathematics and
science teacher quality. Peabody Journal of Education, 83(4), 509–535.
Bransford, J., Darling-Hammond, L., & LePage, K. (2005). Preparing teachers for a changing world.
San Francisco: Jossey-Bass.
Brophy, J. E. (1983). Classroom organization and management. The Elementary School Journal, 83(4),
265–285.
Brown, T. A. (2014). Confirmatory factor analysis for applied research. New York: Guilford
Publications.
Brownell, W. A. (2007). The progressive nature of learning in mathematics. The Mathematics Teacher,
100, 26–34.
Bruner, J. S. (1966). Toward a theory of instruction. Cambridge: Harvard University Press.
Bruning, R. H., Schraw, J. G., Norby, M. M., & Ronning, R. (2004). Cognitive psychology and
instruction. Columbus, OH: Pearson.
Byrne, B. M. (2013). Structural equation modeling with EQS: Basic concepts, applications, and
programming. UK: Routledge.
Campbell, J., Kyriakides, L., Muijs, D., & Robinson, W. (2012). Assessing teacher effectiveness:
different models. UK: Routledge.
Carpenter, T. P., & Lehrer, R. (1999). Teaching and learning mathematics with understanding.
Mathematics Classrooms That Promote Understanding, 19–32.
Carraher, T. N., Carraher, D. W., & Schliemann, A. D. (1985). Mathematics in the
streets and in schools. British Journal of Developmental Psychology, 3(1), 21–29.
Casey, C., & Childs, R. (2017). Teacher education program admission criteria and what beginning
teachers need to know to be successful teachers. Canadian Journal of Educational Administration and
Policy, (67).
Cha, E., Kim, K. H., & Erlen, J. A. (2007). Translation of scales in cross‐ cultural
research: issues and techniques. Journal of Advanced Nursing, 58(4), 386–395.
Chua, Y. P. (2012). Mastering research methods. Malaysia: Mcgraw-Hill Education.
Chua, Y. P. (2014). Statistik Penyelidikan Lanjutan: Ujian Regresi, Analisis Faktor dan analisis
Sem. Malaysia: McGraw Hill (Malaysia) Sdn Bhd.
Coakes, S. J., Steed, L. G., Coakes, S. J., & Steed, L. G. (2003). Multiple response and multiple
dichotomy analysis. SPSS: Analysis without Anguish: Version 11.0 for Windows, 215–224.
Cox. (2004). What sort of of “teacher training” do mathematics lecturers want? MSOR Connections,
4(4), 23-26.
Creswell, J. W. (2005). Research design: Planning, conducting, and evaluating quantitative and
qualitative research. Upper Saddle River, NJ: Pearson/Merrill Prentice Hall.
Darling-Hammond, L. (2000). Teacher quality and student achievement. Education Policy Analysis
Archives, 8, 1.
Darling-Hammond, L., & Bransford, J. (2007). Preparing teachers for a changing world: What teachers
should learn and be able to do. New York: John Wiley & Sons.
Dienes, Z. P. (1969). Building up mathematics. United Kingdom: Hutchinson & Co. (Publishers) Ltd..
Doyle, W. (1985). Recent Research on Classroom Management Implications for Teacher Education.
Journal of Teacher Education, 36(3), 31–35.
Duit, R., & Treagust, D. F. (2003). Conceptual change: A powerful framework for improving science
teaching and learning. International Journal of Science Education, 25(6), 671–688.
Elliot, S. N. (2000). Education Pycology:Effective Teaching and Effective Learning.
Singapore: Mc Graw-Hill.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable
variables and measurement error. Journal of Marketing Research, 39–50.
Gagné, R. M. (1975). Essentials of learning for instruction. New York: Dryden Press.
Gao, S., Mokhtarian, P., & Johnston, R. (2008). Nonnormality of data in structural equation models.
Transportation Research Record: Journal of the Transportation Research Board, 2082(1), 116–124.
Garson, G. D. (2012a). Structural Equation Modeling. Asheboro, NC: Statistical Associates
Publishing.
Garson, G. D. (2012b). Testing statistical assumptions. Asheboro, NC: Statistical Associates
Publishing.
Gaskin, J. (2012). Confirmatory factor analysis. Gaskination’s StatWiki. Retrieved from
http://statwiki.kolobkreations.com/wiki /Structural_Equation_ Modeling# Mediation
Gates, P., & Vistro-Yu, C. P. (2003). Is mathematics for all? In Second international handbook of
mathematics education (pp. 31–73). New York: Springer, Dordrecht.
Gay, L. R., Mills, G. E., & Airasian, P. W. (2009). Educational research: Competencies for analysis
and applications, student value edition. Upper Saddle River, NJ: Merrill.
Ghazali, D., & Sufean, H. (2016). Metodologi penyelidikan dalam pendidikan: amalan dan analisis
kajian. Kuala Lumpur: Penerbit Universiti Malaya.
Goh, P. S. C. (2012). The Malaysian Teacher Standards: A look at the challenges and implications
for teacher educators. Educational Research for Policy and Practice, 11(2), 73–87.
Goh, P. S. C. (2013). Conceptions of Competency: A Phenomenographic Investigation of Beginning
Teachers in Malaysia. Qualitative Report, 18(20), 1–16.
Goh, P. S., & Matthews, B. (2011). Listening to the concerns of student teachers in Malaysia during
teaching practice. Australian Journal of Teacher Education (Online), 36(3), 12.
Graham, K. J., Li, Y., & Buck, J. C. (2000). Characteristics of mathematics teacher
preparation programs in the United States: An exploratory study. Mathematics Educator. Retrieved
June 20, 2016, from: http://math.nie.edu.sg/ame /matheduc/ tme/ tmeV5_12/ Doc2.pdf
Grasha, A. F. (1996). Teaching with style: Enhancing learning by understanding teaching and
learning styles. Pittsburgh. PA: Alliance Publishers.
Groenland, E. A. G., & Stalpers, J. (2012). Structural equation modeling: A verbal approach
Nyenrode Research Paper Series. Breukelen, The Netherlands, Nyenrode Business University.
Gwinner, C. (2006). Infosurv white paper 5-point vs. 6-point likert scales. Infosurv Online
Research Service. Retrieved November 5, 2016, from http:// www.
infosurv.com/wp-content/uploads/2011/01/Likert_Scale_Debate.pdf
Hair, J. F. (2014). AMOS covariance-based structural equation modeling (CB-SEM): guidelines on its
application as a marketing research tool. New Jersey: Prentice Hall.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis (5th
ed.). New Jersey: Prentice Hall.
Hair, J. F., Black, W. C., & Babin, B. J. (2010). RE Anderson Multivariate data analysis: A global
perspective. New Jersey: Pearson Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006).
Multivariate data analysis (Vol. 6). Upper Saddle River, NJ: Pearson Prentice Hall.
Hatcher, R. L., & Barends, A. W. (1996). Patients’ view of the alliance in psychotherapy:
Exploratory factor analysis of three alliance measures. Journal of Consulting and Clinical
Psychology, 64(6), 1326.
Heid, M. K. (2005). Technology in mathematics education: Tapping into visions of the future.
Technology-Supported Mathematics Learning Environments, 67, 345.
Hill. (1990). Order in the Classroom. Teacher Magazine 1(7), 70-77.
Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers’ mathematical knowledge for
teaching on student achievement. American Educational Research Journal, 42(2), 371–406.
Ho, R. (2006). Handbook of univariate and multivariate data analysis and
interpretation with SPSS. Florida: CRC Press.
JPNIN, J. P. M. (2016). JPNIN Negeri Mengikut Zon-zon. Retrieved from http://www.jpnin.gov.my/en
Kaino, L. M. (2015). Towards a Framework for Effective Mathematics Continuous Professional
Development. International Journal of Educational Sciences, 8(1), 223–228.
Kinoshita. (2000). Kyoto academia turns to private sector for help. Retrieved from
http://www.yomiuri.co.jp/newse/0605so13.htm
Kirk, J., & Miller, M. L. (1986). Reliability and validity in qualitative research.
Califonia: Sage Publications Inc.
Kline, R. B. (2011). Convergence of structural equation modeling and multilevel modeling.
Califonia: Sage Publications Inc.
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational
and psychological measurement, 30(3), 607-610.
Lee, M. N. N. (2002). Teacher education in Malaysia: Current issues and future prospects. Teacher
Education: Dilemmas and Prospects, 8, 57.
Lei, P., & Wu, Q. (2007). Introduction to structural equation modeling: Issues and practical
considerations. Educational Measurement: Issues and Practice, 26(3), 33–43.
Leong, K. E., Chew, C. M., & Suzieleez, S. A. R. (2015). Understanding Malaysian Pre-Service
Teachers Mathematical Content Knowledge and Pedagogical Content Knowledge. Eurasia Journal of
Mathematics, Science and Technology Education, 11(3), 363–370. doi: 10.12973/eurasia. 2015.1346a
Lim, S. K., & Chan, T. B. (1993). A case study comparing the learning of mathematics among Malay
pupils in primary national schools and primary national schools. Journal of Science and Mathematics
Education in South East Asia.
Lomax, R. G., & Schumacker, R. E. (2004). A beginner’s guide to structural equation modeling. UK:
Psychology Press.
Lucas. (2000). Hong Kong set to abandon rote learning. The Financial Times.
Retrieved from https://www.ft.com/louise-lucas
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing
Research, 35(6), 382–386.
Maat, S. M., & Zakaria, E. (2011). Hubungan antara kepercayaan matematik, amalan pengajaran dan
pengetahuan pedagogi kandungan guru-guru matematik sekolah menengah. (Unpublished doctoral thesis):
Universiti Kebangsaan Malaysia, Bangi.
Maat, S. M., Zakaria, E., Nordin, N. M., & Meerah, T. S. M. (2011). Confirmatory factor analysis of
the mathematics teachers’ teaching practices instrument. World Applied Sciences Journal, 12(11),
2092–2096.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis.
Psychological Methods, 4(1), 84.
Malaysia Education Blueprint, M. (2013). Malaysia Education Blueprint 2013 - 2025.
Ministry of Education Malaysia, 27(1), 1–268. doi: 10.1016/j.tate.2010.08.007
Malaysia Ministry of Education. (2016). PISA 2015. Putrajaya: Bahagian Perancangan dan Penyelidikan
Dasar Pendidikan, KPM.
MATHTED & SEI. (2011). Framework for Philippine Mathematics Teacher Education. Manila: SEI-DOST &
MATHTED.
Mundfrom, D. J., Shaw, D. G., & Ke, T. L. (2005). Minimum sample size recommendations for
conducting factor analyses. International Journal of Testing, 5(2), 159–168.
Nagendralingan, R., Chang, L. H., Maria, S., Low, J., Nagalingam, K., Ainon, O., ...
& Abdul, T. M. H. (2014). Curriculum framework for preparing quality teachers for the future :
Developing guiding principles. Journal of Research, Policy & Practice of Teachers & Teacher
Education, 4(2), 32–44.
Naing, L., Winn, T., & Rusli, B. N. (2006). Practical issues in calculating the sample size for
prevalence studies. Archives of Orofacial Sciences, 1, 9–14.
National Council for Teachers of Mathematics. (2000). Principles and Standards for School
Mathematics. New York: Guilford Press.
National Institute of Education, S. (2007). Mathematics Framework. Retrieved from
http://www.nie.edu.sg/research/research-offices/office-of-education-research/rese
arch-development-framework/mathematics
National Research Council. (2001). Adding it up: Helping children learn mathematics.
Mathematics Learning Study Committee, Center for Education, Division of Behavioral and Social
Sciences and Education. DC: National Academies Press Washington.
NCTM. (1991). Professional Standard of Teaching Mathematics. VA: The Council.
Nik Aziz, N. P. (1999). Pendekatan konstruktivisme radikal dalam pendidikan matematik. Kuala
Lumpur: Penerbit Universiti Malaya.
Noor Shah, S., Mohd, D., & Zulkifley, M. (2013). Pengetahuan dalam kalangan guru matematik sekolah
rendah berdasarkan standard pengajaran matematik. Jurnal Pendidikan Sains & Matematik Malaysia,
3(2), 43–62.
Noor Shah, S., Nor’ain, M. T., Zulkifley, M., Muzirah, M., & Lim, K. B. (2009).
Standard Kecemerlangan Pengajaran Matematik (SET@MATH): Satu Cadangan bagi Meningkatkan Kualiti
Pengajaran Guru Matematik. UPSI: Fakulti Sains & Teknologi.
Noor Shah, S., & Sazelli, A. G. (2010). Teaching Mathematics in Secondary School: Theories and
Practices. UPSI: Ampang Press Sdn. Bhd.
Noraini, I. (2006). Teaching and Learning of Mathematics. Kuala Lumpur: Utusan Publications &
Distributors Sdn Bhd.
Noraini, I. (2013). Penyelidikan dalam pendidikan (Edisi Kedua). Kuala Lumpur: McGraw Hill.
Norhayati, A., Aida Suraya, M. Y., Rohani, A. T., Kamisah, O., & Lilia, H. (2006).
Perancangan Kurikulum Pendidikan Matematik. OUM: Meteor Doc. Snd. Bhd.
Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. UK: Cambridge University.
Oke, A. E., Ogunsami, D. R., & Ogunlana, S. (2012). Establishing a common ground for the use of
structural equation modelling for construction related research studies. Australasian Journal of
Construction Economics and Building,12(3), 89.
Oluwatayo, J. A. (2012). Validity and reliability issues in educational research.
Journal of Educational and Social Research, 2(2), 391–400.
Onno, D. J., & Lilia, H. (2009). Teachers’ professional knowledge in science and mathematics
education: Views from Malaysia and abroad. Bangi: Faculty of Education, Universiti Kebangsaan
Malaysia.
Pallant, J. (2007). SPSS survival manual, 3rd. Edition. New York: McGrath Hill.
Pallant, J. F. (2000). Development and validation of a scale to measure perceived control of
internal states. Journal of Personality Assessment, 75(2), 308–337.
Piaget, J. (1971). The theory of stages in cognitive development. Retrieved from
https://www.researchgate.net/publication/232574518_The_theory_of_stages_in_ cognitive_development
Putnam, R. T., Heaton, R. M., Prawat, R. S., & Remillard, J. (1992). Teaching mathematics for
understanding: Discussing case studies of four fifth-grade teachers. The Elementary School Journal,
93(2), 213-228.
Reisinger, Y., & Mavondo, F. (2007). Structural equation modeling: Critical issues and new
developments. Journal of Travel & Tourism Marketing, 21(4), 41–71.
Rivkin, S. G., Hanushek, E. A., & Kain, J. F. (2005). Teachers, schools, and academic achievement.
Econometrica, 73(2), 417–458.
Sam, F. (2015). Self-regulated Learning Predictors of Academic Performance and Strategies in
Resolving Barriers to Learning. (Unpublished PhD thesis): Faculty of Education and Human
Development, Universiti Pendidikan Sultan Idris, Perak.
Saunders, M. N. K. (2011). Research methods for business students. 5th edition. India: Pearson
Education Limited.
SEAMEO RECSAM. (2016a). Malaysian Mathematics Teacher Quality Standards.
Peneng: Publication Unit, SEAMEO RECSAM.
SEAMEO RECSAM. (2016b). Southeast Asia Regional Standards-Mathematics Teacher (SEARS-MT). Peneng:
Publication Unit, SEAMEO RECSAM.
Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics. 5th edition.
Boston, MA: Pearson Education. Inc.
Tajudin, N. M., Saad, N. S., Rahman, N. A., Yahaya, A., Alimon, H., Dollah, M. U., & Abd Karim, M.
M. (2012). Mapping the level of scientific reasoning skills to instructional methodologies among
Malaysian science-mathematics-engineering undergraduates. In AIP Conference Proceedings (Vol. 1450,
pp. 262–265). AIP.
Tam, W., & Cheng, Y. C. (2007). Teacher education and professional development for sustainable
school effectiveness. International Handbook of School Effectiveness and Improvement, pp. 751–766.
New York: Springer, Dordrecht.
Turmudi. (2001). Strategi Pembelajaran Matematika Kontemporer. Bandung:
JICAUPI.
Vagias, W. M. (2006). Likert-type scale response anchors. USA: Clemson International Institute for
Tourism & Research Development, Department of Parks, Recreation and Tourism Management. Clemson
University.
Vethamani, M. E. (2011). Teacher education in Malaysia: Preparing and training of English language
teacher educators. The Journal of AsiaTEFL, 8(4), 85–110.
Von Glasersfeld, E. (1991). An exposition of constructivism: Why some like it radical.
In Facets of systems science (pp. 229–238). New York: Springer, Dordrecht.
Wang, C. L., & Ahmed, P. K. (2004). The development and validation of the organisational
innovativeness construct using confirmatory factor analysis. European Journal of Innovation
Management, 7(4), 303–313.
Wayne, A. J., & Youngs, P. (2003). Teacher characteristics and student achievement gains: A review.
Review of Educational Research, 73(1), 89–122.
Wilson, K. L., Lizzio, A., & Ramsden, P. (1997). The development, validation and application of the
Course Experience Questionnaire. Studies in Higher Education, 22(1), 33–53.
Yunus, A. S. M., Hamzah, R., & Ismail, H. (2007). Mathematics Education Program in Malaysian
Universities: Curriculum Emphasis and Preparedness of Students to Become Teachers. Proceedings of
the Ninth International Conference-The Mathematics Education into the 21st Century Project, 6(Grade
7), 425–430.
Zainudin, A. (2015). SEM Made Simple: A Gentle Approach to Learning Structural Equation Modeling.
Bangi: MPWS Rich Publication.
Zeichner, K. M., & Cochran-Smith, M. (2005). Studying teacher education: The report of the AERA
panel on research and teacher education. UK: Routledge.
Zhao, J., & Gallant, D. J. (2012). Student evaluation of instruction in higher education: Exploring
issues of validity and reliability. Assessment & Evaluation in Higher Education, 37(2), 227–235.
Zheng, H. (2009). A review of research on EFL pre-service teachers’ beliefs and practices. Journal
of Cambridge Studies, 4 (1), 73-81. doi: 10.17863 / CAM.
1579
Zuraidah, Z. (2014). The Effects Of Customer-Brand Relationship Investment On
Customer Engagement (Unpublised PhD Thesis): Universiti Kebangsaan Malaysia, Bangi.
Zuraidah, Z. (2016). Structural Equation Modeling ( SEM ): A Step By Step Approach (PART 1).
Retrieved from https://www.researchgate. net/ profile/ Zuraidah_ Zainol /contributions. doi:
10.13140/RG.2.1.1238.6809