Hierarchical Structure and Measurement Precision of Pro-Environmental Behaviour among Indonesian Junior Secondary Students: A Rasch Rating Scale Analysis
DOI:
https://doi.org/10.32332/al-jahiz.v7i2.13494Keywords:
Pro-environmental behaviour, Rasch rating scale model, Behavioural hierarchy, Person-item targeting, Measurement precisionAbstract
Understanding how pro-environmental behaviour (PEB) develops requires measurement approaches that extend beyond initial validation to examine category thresholds and the substantive structure of behaviour. Building upon prior baseline validation work, this study conducts an advanced secondary analysis of a 20-item PEB instrument using the Rasch Rating Scale Model (RSM) to explicitly evaluate rating scale functioning, behavioural difficulty hierarchy, and measurement precision across latent trait levels. Response data from 124 Indonesian male junior secondary students (aged 12–15 years) were re-analysed using Winsteps version 3.73. Category analysis showed ordered thresholds, although overlap among the middle-frequency categories suggests that their descriptors could be clarified. Item calibration revealed a behavioural hierarchy in which routine and rule-supported practices were easier to endorse than behaviours requiring sustained self-regulation, responsibility for shared resources, or peer engagement. The Test Information Function indicated that measurement precision was highest around the middle of the behavioural continuum and declined towards the lower and upper extremes. Rather than re-evaluating general psychometric quality, this study illustrates how Rasch-derived hierarchies map behavioural progression, providing educators with an empirical blueprint for designing progressive environmental education assessments and targeted interventions.
References
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142. https://doi.org/10.1177/0013164485451012
Ardoin, N. M., Bowers, A. W., & Gaillard, E. (2020). Environmental education outcomes for conservation: A systematic review. Biological Conservation, 241, 108224. https://doi.org/10.1016/j.biocon.2019.108224
Azwar, S. (2012). Reliabilitas dan validitas (4th ed.). Pustaka Pelajar.
Bond, T. G., Yan, Z., & Heene, M. (2021). Applying the Rasch model: Fundamental measurement in the human sciences (4th ed.). Routledge. https://doi.org/10.4324/9780429030499
Chong, J., Mokshein, S. E., & Mustapha, R. (2022). Applying the Rasch Rating Scale Model (RSM) to investigate the rating scales function in survey research instrument. Jurnal Cakrawala Pendidikan, 41(1), 97–111. https://doi.org/10.21831/cp.v41i1.39130
Colledani, D., González Pizzio, A. P., Devita, M., & Anselmi, P. (2025). Investigating the functioning of rating scales with Rasch models. Assessment, 32(3), 434–446. https://doi.org/10.1177/10731911241245792
De Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior. Journal of Environmental Psychology, 42, 128–138. https://doi.org/10.1016/j.jenvp.2015.03.005
Deltomme, B., Gorissen, K., & Weijters, B. (2023). Measuring pro-environmental behavior: Convergent validity, internal consistency, and respondent experience of existing instruments. Sustainability, 15(19), 14484. https://doi.org/10.3390/su151914484
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Gaborieau, J.-B., & Pronello, C. (2021). Validation of a unidimensional and probabilistic measurement scale for pro-environmental behaviour by travellers. Transportation, 48(2), 555–593. https://doi.org/10.1007/s11116-019-10068-w
Hergesell, A. (2022). Using Rasch analysis for scale development and refinement in tourism: Theory and illustration. Journal of Business Research, 142, 551–561. https://doi.org/10.1016/j.jbusres.2021.12.063
Ivanova, A. A., Agissova, F. B., Sautkina, E. V., Kabanova, V. S., Patrakova, N. A., & Ivande, K. S. (2023). Russian scale of pro-environmental behavior: Development and psychometric assessment. Experimental Psychology (Russia), 16(2), 218–234. https://doi.org/10.17759/exppsy.2023160213
Jin, K., & Eckes, T. (2024). The impact of insufficient effort responses on the order of category thresholds in the polytomous Rasch model. Educational and Psychological Measurement, 84(6), 1203–1231. https://doi.org/10.1177/00131644241242806
Kaiser, F. G., Byrka, K., & Hartig, T. (2010). Reviving Campbell’s paradigm for attitude research. Personality and Social Psychology Review, 14(4), 351–367. https://doi.org/10.1177/1088868310366452
Kaiser, F. G., & Lange, F. (2021). Offsetting behavioral costs with personal attitude: Identifying the psychological essence of an environmental attitude measure. Journal of Environmental Psychology, 75, 101619. https://doi.org/10.1016/j.jenvp.2021.101619
Kumawat, P., & Pronello, C. (2021). Validating Italian General Ecological Behaviour Questionnaire of travellers using dichotomous Rasch model. Sustainability, 13(21), 11976. https://doi.org/10.3390/su132111976
Lange, F., & Dewitte, S. (2019). Measuring pro-environmental behavior: Review and recommendations. Journal of Environmental Psychology, 63, 92–100. https://doi.org/10.1016/j.jenvp.2019.04.009
Latip, A. (2022). Penerapan model ADDIE dalam pengembangan multimedia pembelajaran berbasis literasi sains. DIKSAINS: Jurnal Ilmiah Pendidikan Sains, 2(2), 102–108. https://doi.org/10.33369/diksains.2.2.102-108
Lauren, N., Fielding, K. S., Smith, L., & Louis, W. R. (2016). You did, so you can and you will: Self-efficacy as a mediator of spillover from easy to more difficult pro-environmental behaviour. Journal of Environmental Psychology, 48, 191–199. https://doi.org/10.1016/j.jenvp.2016.10.004
Linacre, J. M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85–106.
Mateer, T. J., Melton, T. N., Miller, Z. D., Lawhon, B., Agans, J. P., & Taff, B. D. (2022). A multi-dimensional measure of pro-environmental behavior for use across populations with varying levels of environmental involvement in the United States. PLOS ONE, 17(10), e0274083. https://doi.org/10.1371/journal.pone.0274083
McBeth, W., & Volk, T. L. (2009). The national environmental literacy project: A baseline study of middle grade students in the United States. The Journal of Environmental Education, 41(1), 55–67. https://doi.org/10.1080/00958960903210031
Menardo, E., Brondino, M., & Pasini, M. (2020). Adaptation and psychometric properties of the Italian version of the Pro-Environmental Behaviours Scale (PEBS). Environment, Development and Sustainability, 22(7), 6907–6930. https://doi.org/10.1007/s10668-019-00520-3
Mónus, F. (2021). Environmental perceptions and pro-environmental behavior: Comparing different measuring approaches. Environmental Education Research, 27(1), 132–156. https://doi.org/10.1080/13504622.2020.1842332
Muliadi, R., Jatnika, R., Hanami, Y., & Adishesa, M. S. (2025). Evaluation of an environmentally friendly behavior scale among Indonesian university students using the Rasch model. Acta Psychologica, 257, 105087. https://doi.org/10.1016/j.actpsy.2025.105087
Nesri, F. D. P., & Kristanto, Y. D. (2020). Pengembangan modul ajar berbantuan teknologi untuk mengembangkan kecakapan abad 21 siswa. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(3), 480–492. https://doi.org/10.24127/ajpm.v9i3.2925
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Saputra, M. D. I., Susilaningsih, E., Rusilowati, A., & Lathif, Y. F. (2026). Rasch model–based development of an environmental literacy instrument. Jurnal Biologi-Inovasi Pendidikan, 8(1), 112–122. https://doi.org/10.20527/bino.v8i1.24953
Sierra Barón, W., & Meneses Baez, A. L. (2022). Psychometric indicators of the pro-environmental attitudes’ questionnaire: Colombian version. Frontiers in Psychology, 13, 886769. https://doi.org/10.3389/fpsyg.2022.886769
Steg, L., & Vlek, C. (2009). Encouraging pro-environmental behaviour: An integrative review and research agenda. Journal of Environmental Psychology, 29(3), 309–317. https://doi.org/10.1016/j.jenvp.2008.10.004
Stevenson, K. T., Peterson, M. N., & Bondell, H. D. (2013). The influence of personal beliefs, friends, and family in building climate change concern among adolescents. Environmental Education Research, 19(5), 654–669. https://doi.org/10.1080/13504622.2012.714851
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
Tsai, C.-L., Wind, S. A., & Estrada, S. (2025). Exploring the effects of collapsing rating scale categories in polytomous item response theory analyses: An illustration and simulation study. Measurement: Interdisciplinary Research and Perspectives, 23(1), 66–89. https://doi.org/10.1080/15366367.2023.2288791
Van Zile-Tamsen, C. (2017). Using Rasch analysis to inform rating scale development. Research in Higher Education, 58(8), 922–933. https://doi.org/10.1007/s11162-017-9448-0
Wind, S. A., & Jones, E. (2019). The many interpretations of Rasch measurement. Educational Measurement: Issues and Practice, 38(2), 39–49. https://doi.org/10.1111/emip.12264
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