Childbearing Motivation Questionnaire
adaptação transcultural e evidencias de validade no Peru
Palavras-chave:
Análisis factorial, Comportamento reprodutivo, Comparação transcultural, ConfiabilidadeResumo
Objetivo
Este estudo visa adaptar e validar o Questionário de Motivação para Ter Filhos para uso no Peru e testar a hipótese de independência entre as duas escalas que o compõem (Motivação Positiva para Ter Filhos e Motivação Negativa para Ter Filhos).
Método
O processo considerou seis etapas: 1) Traduções, 2) Síntese das traduções, 3) Avaliação por juízes, 4) Avaliação pelo público-alvo, 5) Retrotradução e 6) Análise de validade utilizando análise fatorial, avaliação da consistência interna e teste da independência das escalas através da análise de correlação. A amostra consistiu em 1.054 peruanos de 22 regiões do Peru.
Resultados
A escala de Motivação Positiva para Ter Filhos mostrou um bom ajuste para uma estrutura bifatorial de segunda ordem, mas os índices bifatoriais complementares indicam que a escala é predominantemente unidimensional. A escala de Motivação Negativa para Ter Filhos apresentou uma estrutura unifatorial com propriedades psicométricas adequadas.
Conclusão
Os resultados mostram que o Questionário de Motivação para Ter Filhos é um instrumento válido para medir as motivações para ter filhos no Peru.
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Referências
Ahmadi Rezamahaleh, F., Khadivzadeh, T., & Asghari Nekah, M. (2020). Comparing the Childbearing Motivations of Fertile and Infertile Women in Mashhad, Iran. Journal of Midwifery and Reproductive Health, 8(4), 2429–2436. https://doi.org/10.22038/JMRh.2019.28904.1312
Alexander, K. A., Perrin, N., Jennings, J. M., Ellen, J., & Trent, M. (2019). Childbearing motivations and desires, fertility beliefs, and contraceptive use among urban African-American adolescents and young adults with STI histories. Journal of Urban Health, 96(2), 171–180. https://doi.org/10.1007/s11524-018-0282-2
Arafat, S. Y., Chowdhury, h. R., Qusar, M. M. A. S., & hafez, M. A. (2016). Cross cultural adaptation & psychometric validation of research instruments: A methodological review. Journal of Behavioral Health, 5(3), 129–136. https://doi.org/10.5455/jbh.20160615121755
Bell, J. S., Bancroft, J., & Philip, A. (1985). Motivation for parenthood: A factor analytic study of attitudes towards having children. Journal of Comparative Family Studies, 16(1), 111–119. https://doi.org/10.3138/jcfs.16.1.111
Borsa, J. C., Damásio, B. F., & Bandeira, D. R. (2012). Adaptação e validação de instrumentos psicológicos entre culturas: Algumas considerações. Paidéia (Ribeirão Preto), 22(53), 423–432. https://doi.org/10.1590/ S0103-863X2012000300014
Brown, T. A. (2019). Confirmatory factor analysis for applied research. Guilford. Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge.
Campo-Arias, A., & Oviedo, h. C. (2008). Propiedades psicométricas de una escala: La consistencia interna. Revista de Salud Pública, 10, 831–839. http://www.scielo.org.co/scielo.php?pid=S012400642008000500015&script=sci_abstract&tlng=pt
Costello, A. B., & Osborne, J. (2005). Practical assessment, research y evaluation. The Journal of Consumer Marketing, 10(7), 1–9. https://doi.org/10.7275/jyj1-4868
Damásio, B. F. (2012). Uso da análise fatorial exploratória em psicologia. Journal of Psychological Assessment, 11(2), 213–228. https://www.proquest.com/openview/b1f3c2e05e6691e6f0a06cd2bd94aff9/1?pqorigsite=gscholar&cbl=5599823
Domínguez-Lara, S., & Rodriguez, A. (2017). Statistical indices from bifactor models. Interacciones, 3(2), 59–65. https://doi.org/10.24016/2017.v3n2.51
Flores-Kanter, P. E., Dominguez-Lara, S., Trógolo, M. A., & Medrano, L. A. (2018). Best practices in the use of bifactor models: Conceptual grounds, fit indices and complementary indicators. Revista Evaluar, 18(3), 44–48. https://doi.org/10.35670/1667-4545.v18.n3.22221
Ghazanfarpour, M., Arghavani, E., Khadivzade, T., Saeidi, M., Kareshki, h. Irani, M., heidari, E., & Dizavandi, F. (2018). Childbearing Motivation in Iranian Engaged Couples. International Journal of Pediatrics, 6(4), 7563–7568. https://doi.org/10.22038/IJP.2018.27375.2359
Gignac, G. E. (2016). The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better. Intelligence, 55, 57–68. https://doi.org/10.1016/j.intell.2016.01.006
Goretzko, D., Pham, T. T. h., & Bühner, M. (2019). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 40, 3510–3521. https:// doi.org/10.1007/s12144-019-00300-2
hernández, A., hidalgo, M. D., hambleton, R. K., & Gómez Benito, J. (2020). International test commission guidelines for test adaptation: A criterion checklist. Psicothema, 32(3), 390–398. https://doi. org/10.7334/psicothema2019.306
Irani, M., & Khadivzadeh, T. (2018). The relationship between childbearing motivations with fertility preferences and actual child number in reproductive-age women. Journal of Education and Health Promotion, 7, 175. https://doi.org/10.4103/jehp.jehp_175_18
Jovanović, V. (2015). A bifactor model of subjective well-being: A re-examination of the structure of subjective well-being. Personality and Individual Differences, 87, 45–49. https://doi.org/10.1016/j.paid.2015.07.026
Kalkbrenner, M. T. (2021). Alpha, Omega, and h internal consistency reliability estimates: Reviewing these options and when to use them. Counseling Outcome Research and Evaluation, 12(1), 77–88. https://doi.org/10.1080/21501378.2021.1940118
Khadivzade, T., Arghavani, E., Shokrollahi, P., Ghazanfarpour, M., & Kareshki, h. (2018). Factorial structure of the Persian version of Childbearing Questionnaire in first time engaged couples in Iran. Journal of Obstetrics and Gynaecology, 38(4), 470–475. https://doi.org/10.1080/01443615.2017.1379967
McDonald, R. P. (1999). Test theory: A unified treatment. Erlbaum. Miller, W. B. (1994). Childbearing motivations, desires, and intentions: A theoretical framework. Genetic, Social, and General. Psychology Monographs, 120(2), 223–258. https://psycnet.apa.org/ record/1994-40830-001
Miller, W. B. (1995) Chilbearing Motivations and its measurement. Journal of Biosocial Science, 27, 473-487. https://doi.org/10.1017/S0021932000023087
Miller, W. B., Barber, J. S., & Gatny, h. h. (2018). Mediation models of pregnancy desires and unplanned pregnancy in young, unmarried women. Journal of Biosocial Science, 50(3), 291–311. https://doi.org/10.1017/ S0021932017000165
Miller, W. B., & Pasta, D. J. (1993). Motivational and nonmotivational determinants of child-number desires. Population and Environment, 15(2), 113–136. https://doi.org/10.1007/BF02209405
Miranda, V., Dahlberg, J., & Andersson, G. (2018). Parents’ preferences for sex of children in Sweden: Attitudes and outcomes. Population Research and Policy Review, 37(3), 443–459. https://doi.org/10.1007/s11113018-9462-8
Morgan, G. B., hodge, K. J., Wells, K. E., & Watkins, M. W. (2015). Are fit indices biased in favor of bi-factor models in cognitive ability research? A comparison of fit in correlated factors, higher-order, and bifac-tor models via Monte Carlo Simulations. Journal of Intelligence, 3(1), 2–20. https://doi.org/10.3390/ jintelligence3010002
Mynarska, M., & Rytel, J. (2014) Pomiar motywacji do posiadania dzieci wśród osób bezdzietnych. Polska adaptacja Kwestionariusza Motywów Rodzicielskich. Polskie Forum Psychologiczne 19(4), 522–543. http://repozytorium.ukw.edu.pl/handle/item/1367
Mynarska, M., & Rytel, J. (2017). Costs and (Negligible) Benefits of Children: A Mixed-Methods Study on Voluntary Childlessness in Poland. In PAA 2017 Annual Meeting, PAA. https://paa.confex.com/ paa/2017/meetingapp.cgi/Paper/11225
Mynarska, M., & Rytel, J. (2018). From motives through desires to intentions: Investigating the reproductive choices of childless men and women in Poland. Journal of Biosocial Science, 50(3), 421–433. https:// doi.org/10.1017/S0021932017000190
Mynarska, M., & Rytel, J. (2020). Fertility desires of childless poles: Which childbearing motives matter for men and women? Journal of Family Issues, 41(1), 7–32. https://doi.org/10.1177/0192513X19868257
Mynarska, M., & Rytel, J. (2022). Childbearing motivation at the onset of emerging adulthood. Journal of Youth Studies, 26(9), 1163–1181. https://doi.org/10.1080/13676261.2022.2080536
Pezeshki, M. Z., Zeigham, B., & Miller, W. (2005). Measuring the Childbearing Motivation of couples referred to the Shiraz health Center for premarital examinations. Journal of Biosocial Science, 37(1), 37–53. https://doi.org/10.1017/S0021932003006485
Reise, S. P., Scheines, R., Widaman, K. F., & haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educational and Psychological Measurement, 73(1), 5–26. https://doi.org/10.1177/0013164412449831
Rodríguez, A., Reise, S. P., & haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137–150. https://doi.org/10.1037/met0000045
Shoaee, F., hafezipour, F., Khoshnejad Afkham, E., Mameneh, M., Mohammadabadi, L., Shafiei Rad, B., heydari, O., Ghazanfarpour, M., & Babakhanian, M. (2020). Psychometric characteristics of childbearing motivation questionnaire: A review. International Journal of Pediatrics, 8(1), 10705-10709. https:// doi.org/10705-10709
Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107–120. https://doi.org/10.1007/s11336-008-9101-0
Sina, M., ter Meulen, R., & Carrasco de Paula, I. (2010). human infertility: Is medical treatment enough? A cross-sectional study of a sample of Italian couples. Journal of Psychosomatic Obstetrics y Gynecology, 31(3), 158–167. https://doi.org/10.3109/0167482X.2010.487952
Stucky, B. D., & Edelen, M. O. (2015). Using heierarchical IRT models to create unidimensional measures from multidimensional data. In S. P. Reise & D. A. Revicki (Eds.), Handbook of item response theory modeling: Applications to typical performance assessment (pp. 183–206). Routledge.
Stucky, B. D., Thissen, D., & Orlando Edelen, M. (2013). Using logistic approximations of marginal trace lines to develop short assessments. Applied Psychological Measurement, 37(1), 41–57. https://doi. org/10.1177/0146621612462759
Timmerman, M. E., Lorenzo-Seva, U., & Ceulemans, E. (2018). The number of factors problem. In P. Irwing, U. Lorenzo-Seva, & E. Ceulemans (Eds.), The wiley handbook of psychometric testing: A multidisciplinary reference on survey, scale and test development (pp. 305–324). Wiley. https://doi. org/10.1002/9781118489772.ch11
Valashani, S. T., heidari, Z., Shoushtari-Moghaddam, E., & Zamani-Alavijeh, F. (2020). Predictors of Childbearing Willingness in the Center of Iran in 2019: A cross sectional study. Research Square. https://doi.org/10.21203/rs.3.rs-53261/v1
Varas, G. V., & Borsa, J. (2020). Childbearing motivation questionnaire: Adaptação e evidências de validade para o Brasil. Psico, 51(4), e36089. https://doi.org/10.15448/1980-8623.2020.4.36089
Zinbarg, R. E., Yovel, I., Revelle, W., & McDonald, R. P. (2006). Estimating generalizability to a latent variable common to all of a scale’s indicators: A comparison of estimators for ωh. Applied Psychological Measurement, 30(2), 121–144. https://doi.org/10.1177/0146621605278814
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Copyright (c) 2025 Giuliana Violeta Vásquez Varas, Juliane Callegaro Borsa
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