Abd-Mutalib, H., Muhammad Jamil, C. Z., Mohamed, R., & Ismail, S. N. A. (2023). The determinants of environmental knowledge sharing behaviour among accounting educators: A modified theory of planned behaviour. International Journal of Sustainability in Higher Education, 24(5), 1105–1135. https://doi.org/10.1108/ijshe-02-2022-0053

Abdollahi, A., & Allen, K. A. (2021). Psychometric assessment of the Persian translated version of the romantic perfectionism scale among couples. Psychological Reports, 125(6), 3224–3237. https://doi.org/10.1177/00332941211036026

Adishesa, M. S., Rocky, Suwartono, C. (2024). Adaptasi dan uji psikometri alat ukur perilaku ramah lingkungan versi Indonesia [Adaptation of environmentally-friendly behavior scale to Indonesian]. JPPP-Jurnal Penelitian Dan Pengukuran Psikologi, 13(1), 55–64. https://doi.org/10.21009/jppp.131.07

Ardiyansah, A. (2023). Partisipasi publik berbasis nilai budaya masyarakat adat Baduy: Upaya pelestarian lingkungan [Public participation based on cultural values ​​of the Baduy indigenous community: Environmental conservation efforts]. Reformasi, 13(2), 261–273. https://doi.org/10.33366/rfr.v13i2.4950

Astuti, S. A., & Constantinus, C. (2024). Pengaruh kecerdasan lingkungan dan kepribadian intuitif terhadap perilaku ramah lingkungan dengan sikap sebagai mediator [The influence of environmental intelligence and intuitive personality on environmentally friendly behavior with attitude as a mediator]. Jurnal Penelitian Inovatif, 4(3), 859–866. https://doi.org/10.54082/jupin.418

Aswita, D., Fuadi, T. M., Abubakar, Hanim, N., Azzarkasyi, M., & Febriyanti, D. (2022). Development measurement of environmental literacy and ethics instrument for adults education. International Journal of Health Sciences, 6(5), 7623–7638. https://doi.org/10.53730/ijhs.v6ns5.11651

Bayati, M., Rashidian, A., Akbari Sari, A., & Sefiddashti, S. (2017). General practitioners' views on key factors affecting their desired income: A principal component analysis approach. Medical Journal of the Islamic Republic of Iran, 31(1), 236–240. https://doi.org/10.14196/mjiri.31.41

Bekar, M., Demirel, G., Evcılı, F., & Doğaner, A. (2021). A scale development study: Gynecologic cancer prevention information scale. Clinical and Experimental Health Sciences, 11(1), 9–13. https://doi.org/10.33808/clinexphealthsci.647862

Biasutti, M., & Frate, S. (2017). A validity and reliability study of the attitudes toward sustainable development scale. Environmental Education Research, 23(2), 214–230. https://doi.org/10.1080/13504622.2016.1146660

Boduszek, D., & Dhingra, K. (2016). Construct validity of the beck hopelessness scale (BHS) among university students: A multitrait–multimethod approach. Psychological Assessment, 28(10), 1325–1330. https://doi.org/10.1037/pas0000245

Braeken, J., & van Assen, M. A. L. M. (2017). An empirical kaiser criterion. Psychological Methods, 22(3), 450–466. https://doi.org/10.1037/met0000074

Chen, T., & Wu, Z. (2022). How to facilitate employees’ green behavior? The joint role of green human resource management practice and green transformational leadership. Frontiers in Psychology, 13, Article 906869. https://doi.org/10.3389/fpsyg.2022.906869

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indices for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5

Chin, W. W. (2010). How to write up and report PLS analyses. In Esposito Vinzi, V., Chin, W. W., Henseler, J., & Wang, H. (Eds.), Handbook of partial least squares (pp. 655–690). Springer. https://doi.org/10.1007/978-3-540-32827-8_29

Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10(1), Article 7. https://doi.org/10.7275/jyj1-4868

Del Giudice, M. (2022). The square-root scree plot: A simple improvement to a classic display. PsyArXiv. https://doi.org/10.31234/osf.io/axubd

Diquito, T. A., Jr., Salunoy, R. G., Arcenas, C. C., Salda, C. J. P., & Panerio, C., Jr. (2023). Exploring students’ satisfaction in formative assessment tools in online-blended learning amidst the COVID-19 pandemic. American Journal of Education and Technology, 2(3), 83–90. https://doi.org/10.54536/ajet.v2i3.1850

Eze, N. M., Asogwa, O. C., & Eze, C. M. (2021). Principal component factor analysis of some development factors in southern Nigeria and its extension to regression analysis. Journal of Advances in Mathematics and Computer Science, 36(3), 132–160. https://doi.org/10.9734/jamcs/2021/v36i330351

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272

Fachrudin, H. T., & Fachrudin, K. A. (2021). Factors influencing energy conservation application in green campus design based on green behavior. International Journal of Energy Economics and Policy, 11(4), 511–520. https://doi.org/10.32479/ijeep.11355

Fatimah, A. N., & Irwansyah. (2020). Indonesian version of FASER LX scale to measure learner experience: A validation study. E3S Web of Conferences, 211, Article 01013. https://doi.org/10.1051/e3sconf/202021101013

Fitriana, N., Hutagalung, F. D., Awang, Z., & Zaid, S. M. (2022). Happiness at work: A cross-cultural validation of happiness at work scale. Plos One, 17(1), Article e0261617. https://doi.org/10.1371/journal.pone.0261617

Garrido, L. E., Abad, F. J., & Ponsoda, V. (2013). A new look at Horn's parallel analysis with ordinal variables. Psychological Methods, 18(4), 454–474. https://doi.org/10.1037/a0030005

Gericke, N., Boeve-de Pauw, J., Berglund, T., & Olsson, D. (2019). The sustainability consciousness questionnaire: The theoretical development and empirical validation of an evaluation instrument for stakeholders working with sustainable development. Sustainable Development, 27(1), 35–49. https://doi.org/10.1002/sd.1859

Goleman, D., Bennett, L., & Barlow, Z. (2012). Ecoliterate: How educators are cultivating emotional, social and ecological intelligence. Jossey-Bass.  

Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Comparing PLS to regression and LISREL: A response to Marcoulides, Chin, and Saunders. MIS Quarterly, 36(3), 703–716. https://doi.org/10.2307/41703476

Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442–458. https://doi.org/10.1108/imds-04-2016-0130

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.   

Hair, J. F., Risher, J. J., Sarstedt, M. & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203

Hamedi, S. M., Pishghadam, R., & Ghazanfari, M. (2015). Detecting the underlying constructs of the self-efficacy scale for English language learners’ textbooks (SES-ELLT) through exploratory factor analysis. Journal of Language Teaching and Research, 7(1), 216–225. https://doi.org/10.17507/jltr.0701.25

Hariyadi, E., Maryani, E., & Kastolani, W. (2021). Analisis literasi lingkungan pada mahasiswa pendidikan geografi [Analysis of environmental literacy in geography education students]. Gulawentah Jurnal Studi Sosial, 6(1), 1–16. https://doi.org/10.25273/gulawentah.v6i1.6685

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8

Jordan, P., & Spieß, M. (2019). Rethinking the interpretation of item discrimination and factor loadings. Educational and Psychological Measurement, 79(6), 1103–1132. https://doi.org/10.1177/0013164419843164

Kim, S., Eccleston, C., Klekociuk, S., Cook, P. S., & Doherty, K. (2022). Development and psychometric evaluation of the Dementia Public Stigma Scale. International Journal of Geriatric Psychiatry, 37(2), Article e5672. https://doi.org/10.1002/gps.5672 

Kuswati, R., Soepatini, S., Vrasica, R., & Rayyantika, F. (2021). Instruments validation of pro-environmental behaviour model. In Proceedings of the 14th University Research Colloquium 2021: Sekolah Tinggi Ilmu Ekonomi Muhammadiyah Cilacap (pp. 525–537). University Research Colloquium. https://bit.ly/3Dtsr5L

Ledesma, R. D., Valero‐Mora, P., & Macbeth, G. (2015). The scree test and the number of factors: A dynamic graphics approach. The Spanish Journal of Psychology, 18, Article E11. https://doi.org/10.1017/sjp.2015.13

Leite, Â., Lopes, D., & Pereira, L. (2023). Pro-environmental behavior and climate change anxiety, perception, hope, and despair according to political orientation. Behavioral Sciences, 13(12), Article 966. https://doi.org/10.3390/bs13120966

Long, Z., & Cai, A. (2022). The impact of environmental responsibility on green consumption behavior. International Journal of Education Humanities and Social Science, 5(5), 119–128. https://doi.org/10.54922/ijehss.2022.0445

Lopez-Odar, D., Álvarez-Risco, A., Vara-Horna, A., Chafloque-Céspedes, R., & Sekar, M. C. (2020). Validity and reliability of the questionnaire that evaluates factors associated with perceived environmental behavior and perceived ecological purchasing behavior in Peruvian consumers. Social Responsibility Journal, 16(3), 403–417. https://doi.org/10.1108/srj-08-2018-0201

Lorenzo‐Seva, U., & Ferrando, P. J. (2019). Unrestricted factor analysis of multidimensional test items based on an objectively refined target matrix. Behavior Research Methods, 52(1), 116–130. https://doi.org/10.3758/s13428-019-01209-1

Morris, S. A., & Marshall, T. E. (2004). Perceived control in information systems. Journal of Organizational and End User Computing, 16(2), 38–56. https://doi.org/10.4018/joeuc.2004040103

Nazeri, A. M., Nakhaee, N., & Navabi, N. (2020). Validation of an ultrashort Persian version of oral health impact profile (OHIP-5) questionnaire. Pesquisa Brasileira Em Odontopediatria E Clínica Integrada, 20, Article e5073. https://doi.org/10.1590/pboci.2020.001

Norris, M., & Lecavalier, L. (2009). Evaluating the use of exploratory factor analysis in developmental disability psychological research. Journal of Autism and Developmental Disorders, 40, 8–20. https://doi.org/10.1007/s10803-009-0816-2

Nunes, A. F., Monteiro, P. L., & Nunes, A. S. (2020). Factor structure of the convergence insufficiency symptom survey questionnaire. Plos One, 15(2), Article e0229511. https://doi.org/10.1371/journal.pone.0229511

Nurhidayati, S., Safnowandi, Khaeruman, & Sukri, A. (2024). The design of project-based learning model based on local potential and social constructive investigation and its impact on students' green behavior. Perspectives of Science and Education/Perspektivy Nauki i Obrazovania, 67(1), 201–216. https://doi.org/10.32744/pse.2024.1.11

Nurhidayati, S., Susantini, E., Safnowandi, Rachmadiarti, F., Khaeruman, & Sukri, A. (2022). Development of local potential-based environmental care instrument and its ability to reveal students' caring attitudes at genders and grades. International Journal of Instruction, 15(4), 613–628. https://doi.org/10.29333/iji.2022.15433a

Nurhidayati, S., Susantini, E., Safnowandi, Rachmadiarti, F., Khaeruman, & Sukri, A. (2023). Revealing students' environment care attitudes viewed by different gender and departments. In J. Handhika, M. Lukitasari, S. Ricahyono, & D. A. Nugraha (Eds.), Proceedings of the 2022 International Conference on Educational Technology (ICETECH) (Vol. 745, pp. 132–140). Atlantis Press. https://doi.org/10.2991/978-2-38476-056-5_15

Raîche, G., Walls, T. A., Magis, D., Riopel, M., & Blais, J.-G. (2013). Non-graphical solutions for Cattell’s scree test. Methodology, 9(1), 23–29. https://doi.org/10.1027/1614-2241/a000051

Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655

Rojas-Valverde, D., Pino-Ortega, J., Gómez-Carmona, C. D., & Rico-González, M. (2020). A systematic review of methods and criteria standard proposal for the use of principal component analysis in team’s sports science. International Journal of Environmental Research and Public Health, 17(23), Article 8712. https://doi.org/10.3390/ijerph17238712

Salazar-Concha, C., Ficapal-Cusí, P., Peñarroja, V., & Enache-Zegheru, M. (2022). Validation of the Spanish version of the technostress creators scale in Chilean workers. Anales De Psicología, 38(3), 518–529. https://doi.org/10.6018/analesps.509551

Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: A software review. Journal of Marketing Analytics, 7, 196–202. https://doi.org/10.1057/s41270-019-00058-3

Solekah, N. A., Handriana, T., & Usman, I. (2024). Understanding Zillennials consumer green behavior of reducing plastic bag use through the theory of planned and interpersonal behavior. Journal of Consumer Sciences, 9(2), 206–225. https://doi.org/10.29244/jcs.9.2.206-225

Sugiarta, R. D., Arofiati, F., & Rosa, E. M. (2023). Validity and reliability of research instruments on the effect of motivation on nurse performance in moderation with nurse credentials. Jurnal Medicoeticolegal Dan Manajemen Rumah Sakit, 12(1), 46–55. https://doi.org/10.18196/jmmr.v12i1.6

Sukri, A., Rizka, M. A., Purwanti, E., Ramdiah, S., & Lukitasari, M. (2022). Validating student’s green character instrument using factor and Rasch model. European Journal of Educational Research, 11(2), 859–872. https://doi.org/10.12973/eu-jer.11.2.859

Suratno, S. (2020). The determinant factors of students’ green behavior: Evidence from Indonesia. Jurnal Pendidikan Ekonomi dan Bisnis, 8(2), 165-173. https://doi.org/10.21009/JPEB.008.2.8

Susananto, P. H., Arief, M., Usman, B., & Tiarapuspa. (2023). Employee performance model based on E-HRM: Employee green behavior as a performance indicator in the coal mining company. Journal of Social Science, 4(1), 16–29. https://doi.org/10.46799/jss.v4i1.459

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education.   

Thayayuth, K., & Pimdee, P. (2018). Energy conservation behavior of Thai university students. Energy and Environment Research, 8(2), 55–62. https://doi.org/10.5539/eer.v8n2p55

Trendafilov, N. T., Fontanella, S., & Adachi, K. (2017). Sparse exploratory factor analysis. Psychometrika, 82(4), 778–794. https://doi.org/10.1007/s11336-017-9575-8

Valencia, A. (2023). Pengetahuan dan sikap mahasiswa kedokteran gigi DKI Jakarta tentang konsep green dentistry [Knowledge and attitudes of DKI Jakarta dental students regarding the concept of green dentistry]. Jurnal Ilmiah Dan Teknologi Kedokteran Gigi, 19(2), 99–105. https://doi.org/10.32509/jitekgi.v19i2.2570

Wandari, N. K. M. A., & Darma, G. S. (2021). Pengelolaan karakter green-behavior pada generasi milenial dalam meningkatkan minat penggunaan green-product [Managing green behavior character in the millennial generation to increase interest in using green products]. Jurnal Nusantara Aplikasi Manajemen Bisnis, 6(1), 49–61. https://bit.ly/3DsQKRB 

Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine, 8, 1–13. https://doi.org/10.33151/ajp.8.3.93

Wulandari, A. I., & Radia, E. H. (2021). Pengembangan instrumen penilaian sikap tanggung jawab pembelajaran tematik terpadu kelas V SD [Development of an integrated thematic learning responsibility attitude assessment instrument for grade V elementary school]. Mimbar PGSD Undiksha, 9(1), 10–18. https://doi.org/10.23887/jjpgsd.v9i1.32979

Yaşar, M. E., Baydaş, A., & Çelik, Ş. (2020). Determination of factors affecting the preferences of youth for purchasing new products: Application of confirmatory factor analysis. Bingöl Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 4(1), 195–225. https://doi.org/10.33399/biibfad.743659

Yusoff, M. S. B. (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal, 11(2), 49–54. https://doi.org/10.21315/eimj2019.11.2.6

Zuhria, S. A., & Azmi, S. (2023). Strategi peningkatan produktivitas dari penggunaan listrik dengan analisis jejak karbon pada produksi tepung karagenan [Productivity improvement strategy of electricity usage with carbon footprint analysis in carrageenan flour production]. Jurnal Optimalisasi, 9(1), 1–6. https://doi.org/10.35308/jopt.v9i1.5761

Zwierzchowska, A., Kostorz, K., Rosołek, B., & Tomińska-Conte, E. (2022). Validation of the perceptions of inclusion questionnaire including PE teachers’ opinion as part of an innovative use of the tool. Sustainability, 14(6), Article 3241. https://doi.org/10.3390/su14063241