Implementation of Maximum Likelihood Estimation (MLE) in the Assessment of Pro-Environmental Tools Measurement Models for Engineering Students

Muh. Ichsan Ali, A. Muh. Idkhan, Yusri Kamin, Abdul Hafid Hasim


The criterion validity test is used to compare the research construct with other tools that have been declared valid and reliable by correlating. In this study, data was obtained by distributing questionnaires and drawing conclusions by concluding the answers from the research subjects. The samples in this study were students of the Faculty of Engineering, Universitas Negeri Makassar, amounting to 200 research subjects. The researcher will collect the data by distributing questionnaires directly to respondents and through a google form with three research constructs. This is done to meet the requirements of the number of respondents who recommend conducting research whose data analysis uses the Maximum Likelihood Estimation (MLE). The IBM AMOS program was used to analyze Confirmatory Factor Analysis (CFA). The Goodness of Fit test (CMIN/DF, GFI, RMSEA, CFI, PNFI) shows that the proposed model is fit and can be continued for further analysis. Convergent validity (loading factor) constructs on the get a value of > 0.7 with a probability value of (p < 0.05), which means that the validity of the indicator has good reliability. Convergent validity gets a value > 0.7 with a probability value (p < 0.05) which means the indicator validity has good reliability. The average variance extract (AVE) value obtained is > 0.5, which means that the indicators in the developed model are proven to measure variable constructs. From the results of the research conducted, the reliability and validation values of the tools are consistent and reliable; from these results, the tools can be used repeatedly in research. A test is said to have high reliability if it provides data with consistent (fixed) results even though it is given at different times to the same subjects.


Confirmatory factor analysis (CFA); environmental education; reliability and validity; sustainable environment.

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D. A. McFarlane and A. G. Ogazon, "The challenges of sustainability education.," J. Multidiscip. Res., vol. 3, no. 3, 2011.

G. D. Boca and S. Saraçlı, "Environmental education and student's perception, for sustainability," Sustainability, vol. 11, no. 6, p. 1553, 2019.

C. Vezzoli and E. Manzini, Design for environmental sustainability. Springer, 2008.

M. I. Ali, "The Consequences of Illegal Mining in the Environment: Perspective of Behavior, Knowledge, and Attitude," Int. J. Environ. Eng. Educ., vol. 1, no. 1, pp. 25–33, 2019.

S. Suarlin and M. I. Ali, "The Effect of Environmental Education Learning on Students at University," Int. J. Environ. Eng. Educ., vol. 2, no. 3, pp. 49–56, 2020.

P. Thangavel and G. Sridevi, Environmental Sustainability. Springer, 2016.

L. Steg, J. W. Bolderdijk, K. Keizer, and G. Perlaviciute, "An integrated framework for encouraging pro-environmental behaviour: The role of values, situational factors and goals," J. Environ. Psychol., vol. 38, pp. 104–115, 2014.

L. Steg and C. Vlek, "Encouraging pro-environmental behaviour: An integrative review and research agenda," J. Environ. Psychol., vol. 29, no. 3, pp. 309–317, 2009.

W. R. Sheate and M. R. Partidário, "Strategic approaches and assessment techniques—Potential for knowledge brokerage towards sustainability," Environ. Impact Assess. Rev., vol. 30, no. 4, pp. 278–288, 2010.

A. Dhir, N. Koshta, R. K. Goyal, M. Sakashita, and M. Almotairi, "Behavioral reasoning theory (BRT) perspectives on E-waste recycling and management," J. Clean. Prod., vol. 280, p. 124269, 2021.

H. J. Park and L. M. Lin, "Exploring attitude–behavior gap in sustainable consumption: Comparison of recycled and upcycled fashion products," J. Bus. Res., vol. 117, pp. 623–628, 2020.

B. Ma, X. Li, Z. Jiang, and J. Jiang, "Recycle more, waste more? When recycling efforts increase resource consumption," J. Clean. Prod., vol. 206, pp. 870–877, 2019.

P. Tucker and D. Speirs, "Attitudes and behavioural change in household waste management behaviours," J. Environ. Plan. Manag., vol. 46, no. 2, pp. 289–307, 2003.

P. Tucker, "Normative influences in household waste recycling," J. Environ. Plan. Manag., vol. 42, no. 1, p. 63, 1999.

J. Blake, "Overcoming the 'value‐action gap'in environmental policy: Tensions between national policy and local experience," Local Environ., vol. 4, no. 3, pp. 257–278, 1999.

P. J. Shaw, "Nearest neighbour effects in kerbside household waste recycling," Resour. Conserv. Recycl., vol. 52, no. 5, pp. 775–784, 2008.

N. Jekria and S. Daud, "Environmental concern and recycling behaviour," Procedia Econ. Financ., vol. 35, pp. 667–673, 2016.

J. K. Lyas, P. J. Shaw, and M. Van Vugt, "Kerbside recycling in the London Borough of Havering: progress and priorities," Resour. Conserv. Recycl., vol. 45, no. 1, pp. 1–17, 2005.

M. Martin, I. D. Williams, and M. Clark, "Social, cultural and structural influences on household waste recycling: A case study," Resour. Conserv. Recycl., vol. 48, no. 4, pp. 357–395, 2006.

H. Kuhlemeier, H. Van Den Bergh, and N. Lagerweij, "Environmental Knowledge, Attitudes, and Behavior in Dutch Secondary Education," J. Environ. Educ., vol. 30, no. 2, pp. 4–14, Jan. 1999, doi: 10.1080/00958969909601864.

J. C. Bradley, T. M. Waliczek, and J. M. Zajicek, "Relationship Between Environmental Knowledge and Environmental Attitude of High School Students," J. Environ. Educ., vol. 30, no. 3, pp. 17–21, Jan. 1999, doi: 10.1080/00958969909601873.

A. Paço and T. Lavrador, "Environmental knowledge and attitudes and behaviours towards energy consumption," J. Environ. Manage., vol. 197, pp. 384–392, 2017.

E. Fraj and E. Martinez, "Environmental values and lifestyles as determining factors of ecological consumer behaviour: an empirical analysis," J. Consum. Mark., 2006.

C. L. Harper and M. Snowden, Environment and society: Human perspectives on environmental issues. Routledge, 2017.

Y. Chen, W. Moufouma-Okia, V. Masson-Delmotte, P. Zhai, and A. Pirani, "Recent progress and emerging topics on weather and climate extremes since the fifth assessment report of the intergovernmental panel on climate change," Annu. Rev. Environ. Resour., vol. 43, pp. 35–59, 2018.

M. I. Ali, S. A. Rachman, and A. H. Hasim, "Sustainable environmental education for pro-environmental engineering students: the assessment of a measurement model," Glob. J. Eng. Educ., vol. 23, no. 2, pp. 156–162, 2021.

D. Darhamsyah, "Environmental Governance Urban: Public Participation and Sustainable Development," Int. J. Environ. Eng. Educ., vol. 1, no. 1, pp. 17–24, 2019.

F. N. Kerlinger and H. B. Lee, Foundations of Behavioral Research, 4th ed. New York: Holt, Rinehart and Winston, 2000.

J. W. Creswell and C. N. Poth, Qualitative inquiry and research design: Choosing among five approaches. Sage publications, 2016.

J. F. Hair, W. C. Black, and B. J. Babin, Multivariate Data Analysis: A Global Perspective. Pearson Education, 2010.

R. K. Yin, Case study research: Design and methods, vol. 5. sage, 2009.

J. D. Jobson, Applied Multivariate Data Analysis, vol. 2. 1991.

J. S. Long, Confirmatory factor analysis: A preface to LISREL, vol. 33. Newbury Park, California: Sage Publications, 1998.

B. M. Byrne, Structural equation modeling with AMOS: Basic concepts, applications, and programming, 2nd ed. New York: Routledge, 2016.

T. A. Brown, Confirmatory Factor Analysis for Applied Research, 2nd ed. New York: The Guilford Press, 2015.

X. Fan, B. Thompson, and L. Wang, "Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes," Struct. Equ. Model. a Multidiscip. J., vol. 6, no. 1, pp. 56–83, 1999.

L. Hu and P. M. Bentler, "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives," Struct. Equ. Model. a Multidiscip. J., vol. 6, no. 1, pp. 1–55, 1999.

E. E. Rigdon, "CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling," Struct. Equ. Model. A Multidiscip. J., vol. 3, no. 4, pp. 369–379, 1996.

J. F. Hair Jr, M. C. Howard, and C. Nitzl, "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," J. Bus. Res., vol. 109, pp. 101–110, 2020.

T. Z. Keith, Multiple regression and beyond: An introduction to multiple regression and structural equation modeling, 2nd ed. New York: Routledge, 2019.

B. M. Byrne, Structural equation modeling with Mplus: Basic concepts, applications, and programming, 3rd ed. New York, United States: Routledge, 2016.

N. J. Blunch, Introduction to structural equation modeling using IBM SPSS statistics and EQS. Sage, 2015.

J. Wang and X. Wang, Structural equation modeling: Applications using Mplus. John Wiley & Sons, 2019.

J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th ed. Harlow, England: Pearson New International Edition, 2014.

R. H. Hoyle, Structural Equation Modeling : Concepts, Issues, and Applications. Thousand Oaks, California: SAGE Publications, Inc., 1995.

C. Fornell and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," J. Mark. Res., vol. 18, no. 1, pp. 39–50, 1981.

F. Adshead, A. Thorpe, and J. Rutter, "Sustainable development and public health: A national perspective," Public Health, vol. 120, no. 12, pp. 1102–1105, 2006.

N. M. Ardoin, A. W. Bowers, and E. Gaillard, "Environmental education outcomes for conservation: A systematic review," Biol. Conserv., vol. 241, p. 108224, 2020.

M. Q. Sutton and E. N. Anderson, Introduction to cultural ecology. Routledge, 2020.



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