Propriedades psicométricas e invariância fatorial da Escala de Atitudes em relação às Mudanças Climáticas na população chilena
DOI:
https://doi.org/10.22235/cp.v18i2.3671Palavras-chave:
atitude, mudanças climáticas, validade, invariância fatorial, confiabilidadeResumo
O objetivo deste estudo foi avaliar as propriedades psicométricas e a invariância fatorial da Escala de Atitudes em relação às Mudanças Climáticas (EAMC). Baseada na Teoria da Ação Planejada, a escala mede tanto as crenças quanto as intenções comportamentais em relação às mudanças climáticas. O instrumento original possui 15 itens, com um formato de resposta tipo Likert de cinco opções. Foi aplicado a uma amostra não probabilística de 800 participantes chilenos. Após sua tradução e revisão, a escala demonstrou validade de conteúdo adequada. Uma Análise Fatorial Confirmatória (AFC) validou a adequação do instrumento, ajustado para 13 itens, mantendo sua estrutura original de dois fatores. A análise de invariância fatorial confirmou que a estrutura bidimensional não é influenciada pelo gênero. Foram encontradas evidências de validade convergente e discriminante, bem como uma confiabilidade adequada em ambas as dimensões. Em conclusão, respalda-se o uso da versão em espanhol da EAMC em comunidades de língua espanhola, fortalecendo a pesquisa sobre mudanças climáticas na região a partir de uma perspectiva psicossocial.
Downloads
Referências
Adger, W. N. (2001). Scales of governance and environmental justice for adaptation and mitigation of climate change. Journal of International Development, 13(7), 921-931. https://doi.org/10.1002/jid.833
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665-683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918. https://doi.org/10.1037/0033-2909.84.5.888
Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Annals of Psychology, 29(3), 1038-1059. http://doi.org/10.6018/analesps.29.3.178511
Azócar, G., Billi, M., Calvo, R., Huneeus, N., Lagos, M., Sapiains, R., & Urquiza, A. (2021). Climate change perception, vulnerability, and readiness: inter-country variability and emerging patterns in Latin America. Journal of Environmental Studies and Sciences, 11(1), 23-36. https://doi.org/10.1007/s13412-020-00639-0
Bagozzi, R., Yi, Y., & Phillips, L. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421-458. https://doi.org/10.2307/2393203
Barrera-Hernández, L. F., Corral-Verdugo, V., Echeverría-Castro, S. B., Sotelo-Castillo, M. A., & Ocaña-Zúñiga, J. (2021). Beliefs, perceived risk, obstacles and intention to act. An explanatory model for mitigation and coping behaviours regarding climate change. PsyEcology, 12(3), 1-19. https://doi.org/10.1080/21711976.2020.1827660
Beiser-McGrath, L. F., & Huber, R. A. (2018). Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes. Climatic Change, 149(3), 335-347. https://doi.org/10.1007/s10584-018-2260-9
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2a ed.). Guilford Press.
Byrne, B. M. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema, 20(4), 872-882. https://reunido.uniovi.es/index.php/PST/article/view/8744
Carretero-Dios, H., & Pérez, C. (2005). Normas para el desarrollo y revisión de estudios instrumentales. International Journal of Clinical and Health Psychology, 5(3), 521-551. https://www.redalyc.org/pdf/337/33705307.pdf
Cassepp-Borges, V., Balbinotti, M., & Teodoro, M. (2010). Tradução e Validação de Conteúdo: Uma Proposta para Adaptação de Instrumentos. En L. Pasquali (Coord), Instrumentação psicológica: Fundamentos e Práticas (pp. 506-520). ArtMed.
Chen, F. F. (2007). Sensitivity of goodness of fit indices to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464-504. https://doi.org/10.1207/s15328007sem1203_7
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233-255. https://doi.org/10.1207/S15328007SEM0902_5
Christensen, R., & Knezek, G. (2015). The Climate Change Attitude Survey: Measuring middle school student beliefs and intentions to enact positive environmental change. International Journal of Environmental and Science Education, 10(5), 773-788. https://doi.org/10.12973/ijese.2015.276a
Clayton, S. (2019). Psicología y cambio climático. Papeles del psicólogo, 40(3), 167-173. https://doi.org/10.23923/pap.psicol2019.2902
Clayton, S. (2024). A social psychology of climate change: Progress and promise. The British Journal of Social Psychology, 63(4), 1535-1546. https://doi.org/10.1111/bjso.12749
Corral-Verdugo, V. (2021). Psychology of climate change. PsyEcology, 12(2), 254-282. https://doi.org/10.1080/21711976.2021.1901188
Domínguez-Lara, S. (2018). Fiabilidad y alfa ordinal. Actas Urológicas Españolas, 42(2), 140-141. https://doi.org/10.1016/j.acuro.2017.07.002
Escobar-Pérez, J., & Cuervo-Martínez, Á. (2008). Validez de contenido y juicio de expertos: una aproximación a su utilización. Avances en medición, 6(1), 27-36. https://gc.scalahed.com/recursos/files/r161r/w25645w/Juicio_de_expertos_u4.pdf
Forero, E., Hernández, Y., & Zafra, C. (2014). Percepción latinoamericana de cambio climático: metodologías, herramientas y estrategias de adaptación en comunidades locales, una revisión. Revista U.D.C.A Actualidad y Divulgación Científica, 17(1), 73-85. https://doi.org/10.31910/rudca.v17.n1.2014.942
Fornell, C. D., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Gadermann, A. M., Guhn, M., & Zumbo, D. (2012). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17(3), 1-13. https://doi.org/10.7275/n560-j767
Gifford, R. (2014). Environmental psychology matters. Annual Review of Psychology, 65(1), 541-579. https://doi.org/10.1146/annurev-psych-010213-115048
Grothmann, T., & Patt, A. (2005). Adaptive capacity and human cognition: the process of individual adaptation to climate change. Global Environmental Change, 15(3), 199-213. https://doi.org/10.1016/j.gloenvcha.2005.01.002
Gwet, K. L. (2010). Handbook of interrater reliability (2a ed.). Advanced Analytics.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2010). Multivariate Data Analysis (7a ed.). Pearson-Prentice Hall.
Hidalgo, M. C., & Pisano, I. (2010). Determinants of risk perception and willingness to tackle climate change. A pilot study. PsyEcology, 1(1), 105-112. https://doi.org/10.1174/217119710790709595
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
International Test Commission. (2017). The ITC Guidelines for Translating and Adapting Tests (2a ed.). http://www.InTestCom.org
Intergovernmental Panel on Climate Change. (2018). Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate. https://www.ipcc.ch/site/assets/uploads/sites/2/2019/06/SR15_Full_Report_High_Res.pdf
Intergovernmental Panel on Climate Change. (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. In Press. https://doi.org/10.1017/9781009325844
Kollmuss, A., & Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239-260. https://doi.org/10.1080/13504620220145401
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159-174. https://doi.org/10.2307/2529310
Leiserowitz, A., Maibach, E., Roser-Renouf, C., Feinberg, G., & Rosenthal, S. (2013). Climate change in the American mind: Americans’ global warming beliefs and attitudes in April 2013. Yale University; George Mason University. http://dx.doi.org/10.2139/ssrn.2298705
Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361
McCright, A. M., & Dunlap, R. E. (2011). Cool dudes: The denial of climate change among conservative white males in the United States. Global Environmental Change, 21(4), 1163-1172. https://doi.org/10.1016/j.gloenvcha.2011.06.003
Maiteny, P. T. (2002). Mind in the gap: Summary of research exploring "inner" influences on pro-sustainability learning and behaviour. Environmental Education Research, 8(3), 299-306. https://doi.org/10.1080/13504620220145447
Mardia, K. V. (1970). Measures of multivariate skewnees and kurtosis with applications. Biometrika, 57(3), 519-530. https://doi.org/10.2307/2334770
Masud, M. M., Akhtar, R., Afroz, R., Al-Amin, A. Q., & Kari, F. B. (2015). Pro-environmental behavior and public understanding of climate change. Mitigation and Adaptation Strategies for Global Change, 20(4), 591-600. https://doi.org/10.1007/s11027-013-9509-4
Medina-Arboleda, I. F. (2022). Revisiones sobre la crisis climática en la psicología latinoamericana. Acta Colombiana de Psicología, 25(1), 5-6. https://doi.org/10.14718/acp.2021.25.1.1
Medina-Arboleda, I. F., & Páramo, P. (2024). Declaraciones de asociaciones profesionales en Latinoamérica sobre el cambio climático. Acta Colombiana de Psicología, 27(2), I-X. https://doi.org/10.14718/ACP.2024.27.2.0
Ministerio del Medio Ambiente de Chile. (2017). Plan de Acción Nacional de Cambio Climático 2017-2022. https://mma.gob.cl/wp-content/uploads/2017/07/plan_nacional_climatico_2017_2.pdf
Ministerio del Medio Ambiente de Chile. (2018). Encuesta Nacional de Medio Ambiente y Cambio Climático 2018. Dirección de estudios sociales, Pontificia Universidad Católica de Chile.
Nielsen, K. S., Clayton, S., Stern, P. C., Dietz, T., Capstick, S., & Whitmarsh, L. (2021). How psychology can help limit climate change. American Psychologist, 76(1), 130-144. https://doi.org/10.1037/amp0000624
Peña-Garay, M, & Sandoval-Díaz, J. (2024). Representaciones sociales del cambio climático entre población urbana y rural de Chile. Revista de Psicología (Santiago), 33(1), 77-91. https://doi.org/10.5354/0719-0581.2024.71552
Randolph, J. J. (2005, octubre 14-15). Free-marginal multirater kappa: An alternative to Fleiss´ fixed-marginal multirater kappa [Artículo presentado en el simposio]. Joensuu University Learning and Instruction Symposium, Joensuu, Finland.
Randolph, J. J. (2008). Online Kappa Calculator. http://justusrandolph.net/kappa/
Reveco-Quiroz, P., Sandoval-Díaz, J., & Alvares, D. (2022). Bayesian modeling for pro-environmental behavior data: sorting and selecting relevant variables. Stochastic Environmental Research and Risk Assessment: Research Journal, 36(11), 3961-3977. https://doi.org/10.1007/s00477-022-02240-z
Rosseel, Y., Oberski, D., Byrnes, J., Vanbrabant, L., Savalei, V., Merkle, E. & Chow, M. (2018). Package ‘lavaan’. https://cran.r-project.org/web/packages/lavaan/lavaan.pdf
Sandoval-Díaz, J., Díaz-Vargas, N., Flores-Jiménez, D., López-Salazar, C., & Bravo-Ferretti, C. (2024). Cambio climático y olas de calor sobre el bienestar subjetivo en jóvenes. Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 22(1), 393-422. https://doi.org/10.11600/rlcsnj.22.1.5926
Sandoval-Díaz, J., Navarrete Muñoz, M., & Cuadra Martínez, D. (2023). Revisión sistemática sobre la capacidad de adaptación y resiliencia comunitaria ante desastres socionaturales en América Latina y el Caribe. Revista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres REDER, 7(2), 187-203. https://doi.org/10.55467/reder.v7i2.132
Sandoval-Diaz, J., Neumann, P., & Rey, R. (2021). Adaptación y validación preliminar de la Escala teoría cultural de cosmovisiones ambientales en población chilena. CES Psicología, 14(1), 16-35. https://doi.org/10.21615/cesp.14.1.3
Sandoval-Obando, E., & Sandoval Díaz, J. (2024). Psicología de las emergencias y desastres: Aportes y desafíos para el afrontamiento del cambio climático en América Latina. Universidad Autónoma de Chile. https://doi.org/10.32457/yb43yt53
Sapiains, R., Azócar, G., Palomo-Vélez, G., Ugarte, A. M., & Aldunce, P. (2024). Climate change perceptions in Latin America: From regional consensus to sociodemographic differences. Population and Environment, 46(4), 1-22. https://doi.org/10.1007/s11111-024-00464-5
Sapiains, R., Azócar, G., Ugarte, A., & Romero Hernández, J. (2021). Chileans, climate change and the natural environment: An audience segmentation study. Convergencia Revista de Ciencias Sociales, 28, 1-32. https://doi.org/10.29101/crcs.v28i0.15794
Sapiains, R., & Ugarte, A. (2017a). Contribuciones de la Psicología al abordaje de la dimensión humana del cambio climático en Chile (Primera parte). Interdisciplinaria. Revista de Psicología y Ciencias Afines, 34(1), 91-105. https://doi.org/10.16888/interd.2017.34.1.6
Sapiains, R., & Ugarte, A. (2017b). Contribuciones de la Psicología al abordaje de la dimensión humana del cambio climático en Chile (Segunda parte). Interdisciplinaria. Revista de Psicología y Ciencias Afines, 34(2), 259-274. https://doi.org/10.16888/interd.2017.34.2.2
Schwartz, S. H. (1977). Normative influences on altruism. Advances in Experimental Social Psychology, 10, 221-279. https://doi.org/10.1016/S0065-2601(08)60358-5
Sierra-Barón, W., & Millán-Otero, K. L. (2024). ¿La psicología colombiana está afrontando el cambio climático? Reflexiones sobre los retos profesionales ante la urgencia mundial. Acta Colombiana de Psicología, 27(2), XVII-XXVII. https://doi.org/10.14718/ACP.2024.27.2.01
Stern, P., Dietz, T., Abel, T., Guagnano, G., & Kalof, L. (1999). A value-belief-norm theory of support for social movements: The case of environmentalism. Human Ecology Review, 6(2), 81-97. https://humanecologyreview.org/pastissues/her62/62sternetal.pdf
Swim, J., Clayton, S., Doherty, T., Gifford, R., Howard, G., Reser, J., Stern, P., & Weber, E. (2009). Psychology and global climate change: Addressing a multi-faceted phenomenon and set of challenges. A report by the American Psychological Association’s Task Force on the Interface between Psychology and Global Climate Change. American Psychological Association, 66, 241-250
Tabachnick, B., & Fidell, L. S. (2013). Using Multivariate Statistics (6a ed.). Pearson.
Vidal Cobo, J. M., Vidal Mojena, M. A., & Villanueva Salinas, M. L. (2021). Repercusión del cambio climático en la salud psicológica. Humanidades Médicas, 21(1), 259-273.
Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81(4), 1014-1045. https://doi.org/10.1007/s11336-016-9506-0
Zelezny, L. C., Chua, P. P., & Aldrich, C. (2002). Elaborating on gender differences in environmentalism. Journal of Social Issues, 56(3), 443-457. https://doi.org/10.1111/0022-4537.00177
Downloads
Publicado
Como Citar
Edição
Secção
Licença
Direitos de Autor (c) 2024 Ciencias Psicológicas
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição 4.0.