(2010). Common Core State Standards, Retrieved from www.scopus.com

A Aziz, N. F., Ahmad, H., & Mat Nashir, I. (2019). Validation of technical and vocational teachers’ competency evaluation instrument using the rasch model. Jurnal Pendidikan Sains Dan Matematik Malaysia, 9(1), 18-25. Retrieved from www.scopus.com

Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant validity assessment: Use of fornell & larcker criterion versus HTMT criterion. Paper presented at the Journal of Physics: Conference Series, , 890(1) doi:10.1088/1742-6596/890/1/012163 Retrieved from www.scopus.com

Adams, D., Chuah, K. M., Sumintono, B., & Mohamed, A. (2022). Students' readiness for e-learning during the COVID-19 pandemic in a south-east asian university: A rasch analysis. Asian Education and Development Studies, 11(2), 324-339. doi:10.1108/AEDS-05-2020-0100

Aiken, L. R., Jr. (1970). Attitudes toward mathematics. Review of Educational Research, 40(4), 551-596. doi:10.3102/00346543040004551

Albarracín, L. (2021). Large number estimation as a vehicle to promote mathematical modeling. Early Childhood Education Journal, 49(4), 681-691. doi:10.1007/s10643-020-01104-x

Albarracín, L., & Gorgorió, N. (2020). Mathematical modeling projects oriented towards social impact as generators of learning opportunities: A case study. Mathematics, 8(11), 1-20. doi:10.3390/math8112034

Ali, A. R., Endut, A., & Embong, R. (2019). Attitude of undergraduate students towards gamification: A case study of northwest geo-political zone, nigeria. Journal of ICT in Education, 5, 9-13. Retrieved from www.scopus.com

Alkhadim, G. S., Cimetta, A. D., Marx, R. W., Cutshaw, C. A., & Yaden, D. B. (2021). Validating the research-based early math assessment (REMA) among rural children in southwest united states. Studies in Educational Evaluation, 68 doi:10.1016/j.stueduc.2020.100944

Alnahdi, A. H. (2018). Rasch validation of the arabic version of the lower extremity functional scale. Disability and Rehabilitation, 40(3), 353-359. doi:10.1080/09638288.2016.1254285

Anderson, E. W., & Mittal, V. (2000). Strengthening the satisfaction-profit chain. Journal of Service Research, 3(2), 107-120. doi:10.1177/109467050032001

Araújo, J. D. L., & Lima, F. H. D. (2020). The mathematization process as object-oriented actions of a modelling activity system. Bolema: Boletim De Educação Matemática, 34(68), 847-868. Retrieved from www.scopus.com

Asempapa, R. S. (2019). Development and initial psychometric properties of the mathematical modeling attitude scale. School Science and Mathematics, 119(1), 14-23. Retrieved from www.scopus.com

Asempapa, R. S., & Brooks, G. P. (2022). Factor analysis and psychometric evaluation of the mathematical modeling attitude scale for teachers of mathematics. Journal of Mathematics Teacher Education, 25(2), 131-161. doi:10.1007/s10857-020-09482-0

Ayob, A., & Yasin, R. M. (2017). Factors affecting attitudes towards mathematics. International Journal of Academic Research in Business and Social Sciences, 7(11), 1100-1109. Retrieved from www.scopus.com

Barquero, B., Bosch, M., & Romo, A. (2018). Mathematical modelling in teacher education: Dealing with institutional constraints. ZDM - Mathematics Education, 50(1-2), 31-43. doi:10.1007/s11858-017-0907-z

Blum, W., Galbraith, P., Henn, H. -., & Niss, M. (2007). Preface Retrieved from www.scopus.com

Blum, W., & Leiß, D. (2007). How do students and teachers deal with modelling problems? Mathematical Modelling (ICTMA12): Education, Engineering and Economics, , 222-231. Retrieved from www.scopus.com

Brown, S. C., & Greene, J. A. (2006). The wisdom development scale: Translating the conceptual to the concrete. Journal of College Student Development, 47(1), 1-19. doi:10.1353/csd.2006.0002

Burkhardt, H. (2006). Modelling in mathematics classrooms: Reflections on past developments and the future. ZDM - International Journal on Mathematics Education, 38(2), 178-195. doi:10.1007/BF02655888

Campbell, M. J., Machin, D., & Walters, S. J. (2007). Medical statistics: A textbook for the health sciences. Medical Statistics: A Textbook for the Health Sciences, Retrieved from www.scopus.com

Clarke, D. J. (2013). Contingent conceptions of accomplished practice: The cultural specificity of discourse in and about the mathematics classroom. ZDM - International Journal on Mathematics Education, 45(1), 21-33. doi:10.1007/s11858-012-0452-8

Cobb, P., & Gravemeijer, K. (2008). Experimenting to support and understand learning processes. Handbook of Design Research Methods in Education: Innovations in Science, Technology, Engineering, and Mathematics Learning and Teaching, , 68-95. Retrieved from www.scopus.com

Creswell, J. W. (2003). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, Retrieved from www.scopus.com

Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, Retrieved from www.scopus.com

Di Martino, P. (2019). The complex relationship between mathematical modeling and attitude towards mathematics. Affect in Mathematical Modeling, , 219-234. Retrieved from www.scopus.com

Di Martino, P., & Zan, R. (2001). Attitude toward mathematics: Some theoretical issues. Proceedings of the 25th PME Conference, 3, 351-358. Retrieved from www.scopus.com

Doerr, H. M., Ärlebäck, J. B., & Costello Staniec, A. (2014). Design and effectiveness of modeling-based mathematics in a summer bridge program. Journal of Engineering Education, 103(1), 92-114. doi:10.1002/jee.20037

Doruk, B. K. (2012). Mathematical modeling activities as a useful tool for values education. Kuram Ve Uygulamada Egitim Bilimleri, 12(2), 1667-1672. Retrieved from www.scopus.com

English, L. (2003). Mathematical modelling with young learners. Mathematical modelling: A way of life - ICTMA 11 (pp. 3-17) Retrieved from www.scopus.com

Ferri, R. B. (2014). Mathematical modeling—the teacher’s responsibility. Proceedings from the Teachers College Mathematical Modeling Oktoberfest, Retrieved from www.scopus.com

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(FEBRUARY), 39-50. Retrieved from www.scopus.com

Galbraith, P. (2017). Forty years on: Mathematical modelling in and for education. 40 Years on: We are Still Learning! Proceedings of the 40Th Annual Conference of the Mathematics Education Research Group of Australasia, , 47-50. Retrieved from www.scopus.com

Goretzko, D., Pham, T. T. H., & Bühner, M. (2021). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 40(7), 3510-3521. doi:10.1007/s12144-019-00300-2

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis, Retrieved from www.scopus.com

Hair, J. F., Celsi, M. W., Money, A. H., Samouel, P., & Page, M. J. (2011). Essentials of business research methods. Essentials of Business Research Methods, Retrieved from www.scopus.com

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Retrieved from www.scopus.com

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Retrieved from www.scopus.com

Hallström, J., & Schönborn, K. J. (2019). Models and modelling for authentic STEM education: Reinforcing the argument. International Journal of STEM Education, 6(1) doi:10.1186/s40594-019-0178-z

Hame, S., Bahari, P., & Abdullah, A. G. K. (2008). Korelasi antara persekitaran pembelajaran matematik, sikap pelajar terhadap matematik, dan pencapaian pelajar dalam matematik: Satu kajian kes. ESTEEM, 4(2), 91-103. Retrieved from www.scopus.com

Hannula, M. S. (2002). Attitude towards mathematics: Emotions, expectations and values. Educational Studies in Mathematics, 49(1), 25-46. doi:10.1023/A:1016048823497

Hannula, M. S., Di Martino, P., Pantziara, M., Zhang, Q., Morselli, F., Heyd-Metzuyanim, E., & Goldin, G. A. (2016). Attitudes, beliefs, motivation, and identity in mathematics education. Attitudes, Beliefs, Motivation and Identity in Mathematics Education, , 1-35. Retrieved from www.scopus.com

He, J., Sun, S., & Fan, X. (2021). Validation of the 12-item short form of the eating disorder examination questionnaire in the chinese context: Confirmatory factor analysis and rasch analysis. Eating and Weight Disorders, 26(1), 201-209. doi:10.1007/s40519-019-00840-3

Hennig, C. (2010). Mathematical models and reality: A constructivist perspective. Foundations of Science, 15(1), 29-48. doi:10.1007/s10699-009-9167-x

Hidayat, R., Qudratuddarsi, H., Mazlan, N. H., & Mohd Zeki, M. Z. (2021). Evaluation of a test measuring mathematical modelling competency for indonesian college students. Journal of Nusantara Studies, 6(2), 133-155. Retrieved from www.scopus.com

Hidayat, R., Syed Zamri, S. N. A., & Zulnaidi, H. (2018). Exploratory and confirmatory factor analysis of achievement goals for indonesian students in mathematics education programmes. Eurasia Journal of Mathematics, Science and Technology Education, 14(12) doi:10.29333/ejmste/99173

Hidayat, R., Zamri, S. N. A. S., Zulnaidi, H., Abdullah, M. F. N. L., & Adnan, M. (2021). The interrelationships between metacognition and modeling competency: The moderating role of the academic year. European Journal of Educational Research, 10(4), 1853-1866. doi:10.12973/EU-JER.10.4.1853

Hidayat, R., Zulnaidi, H., & Zamri, S. N. A. S. (2018). Roles of metacognition and achievement goals in mathematical modeling competency: A structural equation modeling analysis. PLoS ONE, 13(11) doi:10.1371/journal.pone.0206211

Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60. Retrieved from www.scopus.com

Hunt, J. (2007). Communicating big themes in applied mathematics. Mathematical Modeling (ICTMA12): Education, Engineering and Economics, , 2-24. Retrieved from www.scopus.com

Iseppi, L., Rizzo, M., Gori, E., Nassivera, F., Bassi, I., & Scuderi, A. (2021). Rasch model for assessing propensity to entomophagy. Sustainability (Switzerland), 13(8) doi:10.3390/su13084346

Kasmin, F., Othman, Z., & Ahmad, S. S. S. (2019). Improving students' perception towards learning mathematics. EDUCATUM Journal of Science Mathematics and Technology, 6(1), 29-34. Retrieved from www.scopus.com

Khairani, A. Z. (2016). Assessing urban and rural teachers' competencies in STEM integrated education in malaysia. Paper presented at the MATEC Web of Conferences, , 87 doi:10.1051/matecconf/20178704004 Retrieved from www.scopus.com

Kline, R. B. (1998). Principles and practice of structural equation modeling. Principles and Practice of Structural Equation Modeling, Retrieved from www.scopus.com

Kohen, Z., & Orenstein, D. (2021). Mathematical modeling of tech-related real-world problems for secondary school-level mathematics. Educational Studies in Mathematics, 107(1), 71-91. doi:10.1007/s10649-020-10020-1

Leavy, A., Hourigan, M., & Carroll, C. (2017). Exploring the impact of reform mathematics on entry-level pre-service primary teachers attitudes towards mathematics. International Journal of Science and Mathematics Education, 15(3), 509-526. doi:10.1007/s10763-015-9699-1

Lee, J., & Paek, I. (2014). In search of the optimal number of response categories in a rating scale. Journal of Psychoeducational Assessment, 32(7), 663-673. doi:10.1177/0734282914522200

Leong, K. E., & Tan, J. Y. (2020). Exploring secondary students' modelling competencies. Mathematics Enthusiast, 17(1), 84-107. Retrieved from www.scopus.com

Leung, A. (2019). Exploring STEM pedagogy in the mathematics classroom: A tool-based experiment lesson on estimation. International Journal of Science and Mathematics Education, 17(7), 1339-1358. doi:10.1007/s10763-018-9924-9

Leung, S. -. (2011). A comparison of psychometric properties and normality in 4-, 5-, 6-, and 11-point likert scales. Journal of Social Service Research, 37(4), 412-421. doi:10.1080/01488376.2011.580697

Lozano, L. M., García-Cueto, E., & Muñiz, J. (2008). Effect of the number of response categories on the reliability and validity of rating scales. Methodology, 4(2), 73-79. doi:10.1027/1614-2241.4.2.73

Maaß, K. (2006). What are modelling competencies? ZDM - International Journal on Mathematics Education, 38(2), 113-142. doi:10.1007/BF02655885

Mardia, K. V. (1974). Applications of some measures of multivariate skewness and kurtosis in testing normality and robustness studies. Sankhya, 36, 115-128. Retrieved from www.scopus.com

McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. Handbook of Research on Mathematics Teaching and Learning, , 575-596. Retrieved from www.scopus.com

Obrad, C. (2020). Constraints and consequences of online teaching. Sustainability (Switzerland), 12(17) doi:10.3390/SU12176982

Olson, J. M., & Stone, J. (2005). The influence of behavior on attitudes. The Handbook of Attitudes, , 223-271. Retrieved from www.scopus.com

Osborne, J. W. (2015). What is rotating in exploratory factor analysis? Practical Assessment, Research and Evaluation, 20(2), 1-7. Retrieved from www.scopus.com

Pearl, J. (2012). The causal foundations of structural equation modeling. Handbook of Structural Equation Modeling, , 68-91. Retrieved from www.scopus.com

Pollak, H. O. (2011). What is mathematical modeling? Journal of Mathematics Education at Teachers College, 2(1), 64. Retrieved from www.scopus.com

Purnami, W., Ashadi, Suranto, Sarwanto, Sumintono, B., & Wahyu, Y. (2021). Investigation of person ability and item fit instruments of eco critical thinking skills in basic science concept materials for elementary pre-service teachers. Jurnal Pendidikan IPA Indonesia, 10(1), 127-137. doi:10.15294/jpii.v10i1.25239

Raykov, T. (2004). Behavioral scale reliability and measurement invariance evaluation using latent variable modeling. Behavior Therapy, 35(2), 299-331. doi:10.1016/S0005-7894(04)80041-8

Rouquette, A., Hardouin, J. -., Vanhaesebrouck, A., Sébille, V., & Coste, J. (2019). Differential item functioning (DIF) in composite health measurement scale: Recommendations for characterizing DIF with meaningful consequences within the rasch model framework. PLoS ONE, 14(4) doi:10.1371/journal.pone.0215073

Sabudin, G., & Halim, L. (2020). Kajian sistematik: Pendekatan pengajaran dan impak khazanah pengetahuan dalam pembelajaran sains. Jurnal Pendidikan Sains Dan Matematik Malaysia, 10(1), 21-38. Retrieved from www.scopus.com

Sahin, S., Dogan, M. F., Erdem, Z. C., Gurbuz, R., & Temurtas, A. (2019). Prospective teachers’ criteria for evaluating mathematical modeling problems. International Journal of Research in Education and Science, 5(2), 730-743. Retrieved from www.scopus.com

Scoulas, J. M., Aksu Dunya, B., & De Groote, S. L. (2021). Validating students' library experience survey using rasch model. Library and Information Science Research, 43(1) doi:10.1016/j.lisr.2021.101071

Shahbari, J. A., & Peled, I. (2015). RESOLVING COGNITIVE CONFLICT IN A REALISTIC SITUATION WITH MODELING CHARACTERISTICS: COPING WITH A CHANGING REFERENCE IN FRACTIONS. International Journal of Science and Mathematics Education, 13(4), 891-907. doi:10.1007/s10763-014-9509-1

Singer, F. M., & Moscovici, H. (2008). Teaching and learning cycles in a constructivist approach to instruction. Teaching and Teacher Education, 24(6), 1613-1634. doi:10.1016/j.tate.2007.12.002

Stillman, G. A., Kaiser, G., Blum, W., & Brown, J. P. (2013). Mathematical modelling: Connecting to teaching and research practices – the impact of globalisation doi:10.1007/978-94-007-6540-5_1 Retrieved from www.scopus.com

Suryadi, B., Hayat, B., & Putra, M. D. K. (2021). The indonesian version of the life orientation test-revised (LOT-R): Psychometric properties based on the rasch model. Cogent Psychology, 8(1) doi:10.1080/23311908.2020.1869375

Tajudin, A., & Abdullah, N. (2018). Kesediaan guru sains sekolah rendah terhadap pelaksanaan pembelajaran abad ke-21 [the readiness of primary school science teachers towards the implementation of 21st century learning]. Jurnal Pendidikan Sains Dan Matematik Malaysia, 8(1), 82-97. Retrieved from www.scopus.com