Validation of the Amotivation Inventory in Physical Educationexercise level and physical self-concept

  1. Lirola Manzano, María Jesús 1
  2. Spray, Christopher M. 2
  1. 1 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

  2. 2 Loughborough University
    info

    Loughborough University

    Loughborough, Reino Unido

    ROR https://ror.org/04vg4w365

Revista:
Electronic journal of research in educational psychology

ISSN: 1696-2095

Año de publicación: 2021

Volumen: 19

Número: 54

Páginas: 417-436

Tipo: Artículo

DOI: 10.25115/EJREP.V19I54.3596 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Electronic journal of research in educational psychology

Objetivos de desarrollo sostenible

Resumen

Introducción. Según la teoría de la autodeterminación, se conoce que la motivación es un factor esencial para la adherencia y el disfrute del ejercicio, generando hábitos duraderos. La importancia de generar tales hábitos desde una edad temprana es un factor determinante para la salud futura. La población infantil y juvenil invierte una gran cantidad de horas semanales en su formación en Centros Educativos. El objetivo de esta investigación fue adaptar el Inven-tario de desmotivación en Educación Física al contexto español, además de examinar sus pro-piedades psicométricas. Método.Participaron 232 niños y niñas de 6º curso de Educación Primaria. Las edades oscilaron entre los 10 y los 12 años (Medad= 10.99; DT= .47). Resultados.Los resultados del análisis factorial confirmatorio mostraron índices de ajuste adecuados. Además, se mostró su invarianza según el género. Se obtuvieron altos niveles de consistencia interna y evidencias de validez externa a través de un análisis de regresión lineal con las variables de nivel de ejercicio físico y autoconcepto físico para explicar la desmotiva-ción en las clases de Educación Física. Discusión y Conclusion: En conclusión, la escala se muestra como una medida fiable, invariable por género y válida para niños y niñas en la Educación Primaria.

Referencias bibliográficas

  • Ainley, M., Hidi, S., & Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of Educational Psychology, 94, 545–561.
  • Bartholomew, K. J., Ntoumanis, N., & Thøgersen-Ntoumani, C. (2010). The controlling interpersonal style in a coaching context: development and initial validation of a psychometric scale. Journal of Sport and Exercise Psychology, 32, 193-216. https://doi.org/10.1123/jsep.32.2.193
  • Bentler, P. M. (1989). EQS structural equations program manual. Los Angeles, CA: BMDP Statistical Software.
  • Bollen, K. A., & Stine, R. A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods & Research, 21(2), 205–229. https://doi.org/10.1177/0049124192021002004
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2a Ed.). Nueva York, NY: Routledge.
  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
  • 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
  • Crocker, P. R., Bailey, D. A., Faulkner, R. A., Kowalski, K. C., & McGrath, R. (1997). Measuring general levels of physical activity: preliminary evidence for the Physical Activity Questionnaire for Older Children. Medicine & Science in Sports & Exercise, 29(10), 1344-1349.
  • Crocker, P.R.E., Sabiston, C.M., Kowalski, K.C., McDonough, M.H., & Kowalski, N. (2006). Longitudinal assessment of the relationship between physical self-concept and healthrelated behavior and emotion in adolescent girls. Journal of Applied Sport Psychology, 18, 185–200.
  • Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11, 227e268. http://dx.doi.org/10.1207/S15327965PLI1104_01
  • Deci, E. L., & Ryan, R. M. (2012). Motivation, personality, and development within embedded social contexts: An overview of self-determination theory. In R. M. Ryan (Ed.), Oxford handbook of human motivation (pp. 85e107). Oxford, UK: Oxford University Press. http://dx.doi.org/10.1093/oxfordhb/9780195399820.001.0001
  • Deci, E.L., & Ryan, R.M. (2002). Overview of self-determination theory: An organismic dialectical perspective. In E.L. Deci & R.M. Ryan (Eds.), Handbook of self-determination research (pp. 3–33). Rochester, NY: University of Rochester Press.
  • Duque-Fernández, L. M., Ornelas-Contreras, M., & Benavides-Pando, E.V. (2020). Actividad física y su relación con el envejecimiento y la capacidad funcional: una revisión de la literatura de investigación. Psicología y Salud, 30(1), 45-57.
  • Fernández-Lasarte, O.; Goñi, E., Camino, I. y Zubeldia, M. (2019). Ajuste escolar y autoconcepto académico en la Educación Secundaria. Revista de Investigación Educativa, 37(1), 163-179. https://doi.org/10.6018/rie.37.1.308651
  • Finney, S. J., & Di Stefano, C. (2006). Non-normal and categorical data in structural equation modeling. En G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–314). Greenwich, CT: Information Age.
  • Fleiss, J. L. (2011). Design and analysis of clinical experiments. Nueva York, NY: John Wiley & Sons. https://doi.org/10.1002/9781118032923
  • Frantz, J. M. (2015). A peer-led approach to promoting health education in schools: The views of peers. South African Journal of Education, 35(1). https://doi.org/10.15700/201503070006
  • Gallotta, M. C., Iazzoni, S., Emerenziani, G. P., Meucci, M., Migliaccio, S., Guidetti, L., & Baldari, C. (2016). Effects of combined physical education and nutritional programs on schoolchildren’s healthy habits. PeerJ, 4, e1880. https://doi.org/10.7717/peerj.1880
  • Green-Demers, I., Legault, L., Pelletier, D., & Pelletier, L.G. (2008). Factorial invariance of the academic amotivation inventory across gender and grade in a sample of Canadian high school students. Educational and Psychological Measurement, 68, 862–880.
  • Hair, J., Black, W., Babin, B., and Anderson, R. (2014). Multivariate Data Analysis (7th ed.). Pearson Educational, Inc.
  • Hair, J.F.J., Black, W.C., Babin, B.J., & Anderson, R.E. (2018). Multivariate data analysis (8th ed.). Cengage Learning EMEA.
  • Hein, V., Koka, A., & Hagger, M. S. (2015). Relationships between perceived teachers' controlling behaviour, psychological need thwarting, anger and bullying behaviour in high-school students. Journal of adolescence, 42, 103-114. https://doi.org/10.1016/j.adolescence.2015.04.003
  • Hoyt, L. T., Chase-Lansdale, P. L., McDade, T. W., & Adam, E. K. (2012). Positive youth, healthy adults: does positive well-being in adolescence predict better perceived health and fewer risky health behaviors in young adulthood? Journal of Adolescent Health , 50(1), 66-73.
  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago, IL: Scientific Software International.
  • Kowalski, K. C., Crocker, P. R., & Faulkner, R. A. (1997). Validation of the physical activity questionnaire for older children. Pediatric exercise science, 9(2), 174-186. https://doi.org/10.1123/pes.9.2.174
  • Legault, L., Green-Demers, I., & Pelletier, L. G. (2006). Why do high school students lack motivation in the classroom? Toward an understanding of academic amotivation and the role of social support. Journal of Educational Psychology, 98, 567e582.
  • Manchola-González, J., Bagur-Calafat, C., & Girabent-Farrés, M. (2017). Fiabilidad de la versión española del cuestionario de actividad física PAQ-C. Revista Internacional de Medicina y Ciencias de la Actividad Física del Deporte, 17(65), 139-152. http://dx.doi.org/10.15366/rimcafd2017.65.008
  • Marsh, H., Hau, K., and Wen, Z. (2004). In search of golden rules: comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Struct. Equ. Model. 11, 320–341. http://doi.org/10.1207/s15328007sem1103-2
  • Marsh, H. W., Martin, A. J., & Jackson, S. (2010). Introducing a short version of the physical self description questionnaire: new strategies, short-form evaluative criteria, and applications of factor analyses. Journal of Sport and Exercise Psychology, 32(4), 438-482. https://doi.org/10.1123/jsep.32.4.438
  • Milfont, T., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 111–121. https://doi.org/10.21500/20112084.857
  • Muñiz, J., Elosua, P., & Hambleton, R. K. (2013). Directrices para la traducción y adaptación de los tests: Segunda edición. Psicothema, 25(2), 151–157. https://doi.org/10.7334/psicothema2013.24
  • Ntoumanis, N. (2012). A self-determination theory perspective on motivation in sport and physical education: Current trends and possible future research directions. In G. C. Roberts, & D. C. Treasure (Eds.), Advances in motivation in sport and exercise: Volume 3 (pp. 91e128). Champaign, IL: Human Kinetics.
  • Ntoumanis, N., Pensgaard, A. M., Martin, C., & Pipe, K. (2004). An ideographic analysis of amotivation in compulsory school physical education. Journal of Sport and Exercise Psychology, 26, 197e214.
  • Office for Standards in Education Children's Services, Skills. (2013). Beyond 2012-outstanding physical education for all: Physical education in schools. Manchester, UK.
  • Organización Mundial de la Salud. (2019). Global action plan on physical activity 2018-2030: more active people for a healthier world. World Health Organization.
  • Paes, S. T., & Bianchini, R. M. (2015). Obesity: How can Interventions Ensure Treatment Success?. International Journal of Endocrinology & Metabolic Disorders, 1(4). https://doi.org/10.16966/2380-548X.116
  • Pelletier, L. G., Fortier, M. S., Vallerand, R. J., & Brïere, N. M. (2001). Associations between perceived autonomy support, forms of self-regulation, and persistence: A prospective study. Motivation and Emotion, 4, 279e306.
  • Pelletier, L.G., Dion, S., Tuson, K., & Green-Demers, I. (1999). Why do people fail to adopt environmentally protective behaviors? Toward a taxonomy of environmental amotivation. Journal of Applied Social Psychology, 29, 2481–2504.
  • Ramos, M. P. M., & Martínez, O. C. (2020). Actividad Física y Calidad de Vida Percibida en usuarios de Centros Deportivos Públicos de Terrassa (Physical Activity and Perceived Quality of Life in users of Public Sports Centers in Terrassa). Retos, 37(37), 427-433.
  • Ryan, R. M., & Deci, E. L. (2019). Brick by brick: The origins, development, and future of self-determination theory. In A. J. Elliot (Ed.), Advances in Motivation Science (pp. 111–162). Elsevier. https://doi.org/10.1016/bs.adms.2019.01.001
  • Scherrer, V., & Preckel, F. (2019). Development of motivational variables and self-esteem during the school career: A meta-analysis of longitudinal studies. Review of Educational Research, 89(2), 211–258. https://doi.org/10.3102/0034654318819127
  • Shen, B., Li, W., Sun, H., & Rukavina, P. B. (2010a). The influence of inadequate teacher-to-student social support on amotivation of physical education students. Journal of Teaching in Physical Education, 29(4), 417-432. https://doi.org/10.1123/jtpe.29.4.417
  • Shen, B., McCaughtry, N., & Martin, J. (2008). The influence of domain specificity on motivation in physical education: Between and within domain relations. Research Quarterly for Exercise and Sport, 79, 333–343
  • Shen, B., Wingert, R. K., Li, W., Sun, H., & Rukavina, P. B. (2010b). An amotivation model in physical education. Journal of Teaching in Physical Education, 29(1), 72-84. DOI: https://doi.org/10.1123/jtpe.29.1.72
  • St Leger, L., & Young, I. M. (2009). Creating the document ‘Promoting health in schools: from evidence to action’. Global health promotion, 16(4), 69-71. https://doi.org/10.1177/1757975909348138
  • Strasheim, A. (2011). Testing the invariance of second-order confirmatory factor analysis models that include means and intercepts. Management Dynamics, 20(4), 38–75.
  • Taylor, I. M., Spray, C. M., & Pearson, N. (2014). The influence of the physical education environment on children’s well-being and physical activity across the transition from primary to secondary school. Journal of Sport and Exercise Psychology, 36(6), 574-583. https://doi.org/10.1123/jsep.2014-0038
  • Tomás, I., Marsh, H. W., González-Romá, V., Valls, V., & Nagengast, B. (2014). Testing measurement invariance across Spanish and English versions of the Physical Self-Description Questionnaire: An application of exploratory structural equation modeling. Journal of Sport and Exercise Psychology, 36(2), 179-188. https://doi.org/10.1123/jsep.2013-0070
  • Trigueros, R., Aguilar-Parra, J. M., Álvarez, J. F., Cangas, A. J., & López-Liria, R. (2020). The effect of motivation on the resilience and anxiety of the athlete. Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte, 20(77). https://doi.org/10.15366/rimcafd2020.77.005
  • Trigueros, R., Aguilar-Parra, J. M., Cangas, A. J., Bermejo, R., Ferrandiz, C., & López-Liria, R. (2019). Influence of emotional intelligence, motivation and resilience on academic performance and the adoption of healthy lifestyle habits among adolescents. International journal of environmental research and public health, 16(16), 2810. https://doi.org/10.3390/ijerph16162810
  • Vallerand, R.J., Pelletier, L.G., Blais, M.R., Brere, N.M., Senecal, C., & Vallieres, E.F. (1993). On the assessment of intrinsic, extrinsic, and amotivation in education: Evidence on the concurrent and construct validity of the Academic Motivation Scale. Educational and Psychological Measurement, 53, 150–172. https://doi.org/10.1177/0013164493053001018
  • Vlachopoulos, S. P., Katartzi, E. S., & Kontou, M. G. (2013). Fitting multidimensional amotivation into the self-determination theory nomological network: Application in school physical education. Measurement in Physical Education and Exercise Science, 17(1), 40-61. https://doi.org/10.1080/1091367X.2013.741366
  • Wigfield, A., & Eccles, J.S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68–81.
  • Wu, X., Tao, S., Zhang, Y., Zhang, S., & Tao, F. (2015). Low physical activity and high screen time can increase the risks of mental health problems and poor sleep quality among Chinese college students. PloS one, 10(3). https://doi.org/10.1371/journal.pone.0119607
  • Yuan, K.-H., & Hayashi, K. (2003). Bootstrap approach to inference and power analysis based on three statistics for covariance structure models. The British Journal of Mathematical and Statistical Psychology, 56, 93–110. https://doi.org/10.1348/000711003321645368