Confirmatory Factor Analysis of Learning Environment Instrument among High Performance School Students

Siti Mistima Maat¹, Mazlini Adnan², Mohd Faizal Nizam Lee Abdullah², Che Nidzam Che Ahmad², Marzita Puteh²

¹Department Teaching and Learning Innovation, Faculty of Education, National University of Malaysia, Bangi, Malaysia.
²Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia.

DOI: 10.4236/ce.2015.66063                

Abstract

A learning environment has become one of the vital factors in ensuring the students’ success in achieving good grades. Although past research focus on students’ performance but the evolution of the learning environment has opened a new direction in understanding students’ learning. There are many factors that can be grouped into the learning environment. This paper aims at validating the Learning Environment Instrument by using Confirmatory Factor Analysis (CFA) which has 40 items and 5-point Likert scale. The instrument has five constructs, including students’ closeness, teacher support, involvement, cooperation and equality. The instrument was distributed to 1887 secondary school students from selected high performance school in Malaysia. Confirmatory Factor Analysis was used to validate the instrument using AMOS 16.0. The result revealed that the measurement model of learning environment fitted with the collected data. Fit index tests like CMIN/DF, TLI, CFI, IFI, NFI and RMSEA were used to obtain the model fit. In conclusion, the instrument was found to be valid and reliable in measuring learning environment in this context of study.

Keywords

Learning Environment, Confirmatory Factor Analysis, Mathematics, Students

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Awang, Z. (2014). Research Methodology and Data Analysis (2nd ed.). Universiti Teknologi Mara, UiTM Press.
[2]	Babbie, E. (1992). The Practice of Social Research. Belmont, CA: Wadsworth Publishing Company.
[3]	Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice-Hall.
[4]	Biggs, J. (1999). Teaching for Quality Learning at University. Birmingham: The Society for Research into Higher Education and Open University.
[5]	Brackett, M. A., Reyes, M. R., Rivers, S. E., Elbertson, N. A., & Salovey, P. (2011). Classroom Emotional Climate, Teacher Affiliation, and Student Conduct. Journal of Classroom Interaction, 46, 27-36
[6]	Brok, P. D., Fisher, D., Rickards, T., & Bull, E. (2006). Californian Science Students’ Perception of Their Classroom Learning Environment. Educational Research and Evaluation, 12, 3-25. http://dx.doi.org/10.1080/13803610500392053
[7]	Cakir, M. (2011). Validity and Reliability of the Turkish Form of Technology-Rich Outcome-Focused Learning Environment Inventory. Educational Sciences: Theory& Practice, 11, 1959-1963.
[8]	Cakmak, E. K., Cebi, A., & Kan, A. (2014). Developing a “Social Presence Scale” for E-learning Environments. Educational Sciences Theory and Practice, 14, 764-768.
[9]	Clayton, J. (2007). The Validation of the Online Learning Environment Survey. Proceedings Ascilite Singapore 2007, 2-5 December 2007, Singapore, 159-167.
[10]	Davis, H. A., Gabelman, M. M., & Wingfield, R. D. (2011). “She Let Us Be Smart:” Low-Income African-American First-Grade Students’ Understandings of Teacher Closeness and Influence. The Journal of Classroom Interaction, 46, 4-6.
[11]	Dorman, J. P. (2003). Cross-National Validation of the What Is Happening in This Class? (WIHIC) Questionnaire Using Confirmatory Factor Analysis. Learning Environments Research, 6, 231-245. http://dx.doi.org/10.1023/A:1027355123577
[12]	Fraser, B. J. (1998). Classroom Environment Instruments: Development, Validity and Applications. Journal of Learning Environment Research, 1, 7-34. http://dx.doi.org/10.1023/A:1009932514731
[13]	Fraser, B. J. (2002). Learning Environments Research: Yesterday, Today, and Tomorrow. In S. C. Goh, & B. Kahle (Eds.), Studies in Educational Learning Environments (pp. 49-72). Singapore: World Scientific Publishing.
[14]	Fraser, B. J., & Treagust, D. F. (1986). Validity and Use of an Instrument for Assessing Classroom Psychosocial Environment in Higher Education. Higher Education, 15, 37-57. http://dx.doi.org/10.1007/BF00138091
[15]	Fraser, B. J., & Walberg, H. J. (1991). Education Environment: Evaluation, Antecedents and Consequences. Oxford: Pergamon Press.
[16]	Fraser, B. J., Giddings, G. J., & McRobbie, C. J. (1995). Evolution and Validation of Personal Form of an Instrument for Assessing Science Laboratory Classroom Environments. Journal of Research in Science Teaching, 32, 399-422. http://dx.doi.org/10.1002/tea.3660320408
[17]	Fryer, L. K., Ginns, P., Walker, R. A., & Nakao, K. (2011). The Adaptation and Validation of the CEQ and the R-SPQ-2F to the Japanese Tertiary Environment. British Journal of Educational Psychology, 82, 549-563.
[18]	Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2010). Multivariate Data Analysis (7th ed.). Englewood Cliff, NJ: Prentice Hall.
[19]	Harrington, D. (2009). Confirmatory Factor Analysis. New York: Oxford University Press.
[20]	Hashim, R. A., & Sani, A. M. (2008). A Confirmatory Factor Analysis of Newly Integrated Multidimensional School Engagement Scale. MJLI, 5, 21-40.
[21]	Hofstein, A., Nahum, T. L., & Shore, R. (2001). Assessment of Learning Environment of Inquiry-Type Laboratories in High School Chemistry. Learning Environments Research, 4, 193-207. http://dx.doi.org/10.1023/A:1012467417645
[22]	Hunt, S. K. (2003). Encouraging Student Involvement: An Approach to Teaching Communication. Communication Studies, 54, 133-136. http://dx.doi.org/10.1080/10510970309363275
[23]	Husain, M. Y., Mustapha, R., Malik, S. A., & Mokhtar, S. B. (2014). Review of Measurement Item of Engineering Student’s Learning Environment: Confirmatory Factor Analysis. Journal of Technical Education and Training, 6, 42-56.
[24]	Margianti, E. S., Fraser, B. J., & Aldridge, J. M. (2001). Investigating the Learning Environment and Students’ Outcomes in University Level Indonesia. Work paper Presented at Annual Conference of American Educational Research Association, Seattle, 10-14 April 2001.
[25]	Moos, R. H. (1979). Evaluating Educational Environments: Procedures, Measures, Findings and Policy Implications. San Francisco, CA: Jossey-Bass.
[26]	Partnership for 21st Century Skills (2002).
[27]	Schumacker, R. E., & Lomax, R. G. (2004). A Beginner’s Guide to Structural Equation Modeling. Mahwah, NJ: Lawrence Erlbaum Associates.
[28]	Taylor, P. C., Fraser, B. J., & Fisher, D. L. (1997). Monitoring Constructivist Classroom Learning Environments. International Journal of Educational Research, 27, 293-302. http://dx.doi.org/10.1016/S0883-0355(97)90011-2
[29]	Tracz, S. M. (1992). The Interpretation of Beta Weights in Path Analysis. Multiple Linear Regression Viewpoints, 19, 7-15.
[30]	Waldrip, B., & Fisher, D. (2003). Identifying Exemplary Science Teachers through Their Classroom. Learning Environments Research, 6, 157-174.