Development and validation of the theory of planned behavior questionnaire in physical activity

Spanish Journal of Psychology

Volumn 15, Issue 2, 2012, Pages 801-816

  González, Sonia Tirado ^a   Carmen Neipp Lopez M ^a   Marcos, Yolanda Quiles ^a   Rodríguez Marín, Jesús ^a  

^a MIGUEL HERNÁNDEZ UNIVERSITY   (Spain)

Author keywords

Instrumental study; Physical exercise; Theory of planned behavior; Validation

Indexed keywords

EID: 84863422458     PISSN: 11387416     EISSN: 19882904     Source Type: Journal    
DOI: 10.5209/rev_SJOP.2012.v15.n2.38892     Document Type: Article

References (68)

1. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhi & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp.11-39). Heidelberg, Germany: Springer.
2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. http://dx.doi.org/10.1016%2F0749-5978%2891%2990020-T
3. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Nueva York, NY: Prentice Hall.
4. Anderson, E. S., Wojcik, J. R., Winett, R. A., & Williams, D. M. (2006). Social-cognitive determinants of physical activity: The influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study. Health Psychology, 25, 510-520. http://dx.doi.org/10.1037%2F0278-6133.25.4.510
5. Baessler, J., & Schwarzer, R. (1996). Evaluación de la autoeficacia: Adaptación española de la escala de autoeficacia general [Measuring generalized self-beliefs: A Spanish adaptation of the General Self-Efficacy scale]. Ansiedad y Estrés, 2, 1-8.
6. Bandura, A. (1997). Self-efficay: Toward a unifying theory of behavioral change. Psychological review, 84, 191-215. http://dx.doi.org/10.1037%2F%2F0033-295X.84.2.191
7. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246. http://dx.doi.org/10.1037%2F%2F0033-2909.107.2.238
8. Bentler, P. M., & Yuan, K. H. (1999). Structural equation modeling with small samples: Test statistics. Multivariate Behavioral Research, 34, 181-197. http://dx.doi.org/10.1207%2FS15327906Mb340203
9. Biddle, S. J. H., Fox, K. R., & Boutcher, S. H. (2000). Physical activity and psychological wellbeing. Londres, England: Routledge.
10. Blair, S. N., & Brodney, S. (1999). Effects of physicial inactivity and obesity on morbidity and mortality: Current evidence and research issues. Medicine and Science in Sports and Exercise, 31, 646-662. http://dx.doi.org/10.1097%2F00005768-199911001-00025
11. Blanchard, C. M., Courneya, K. S., Rodgers, W. M., Fraser, S. N., Murray, T. C., & Daub, B. (2003). Is the theory of planned behavior a useful framework for understanding exercise adherente during phase II cardiac rehabilitation? Journal of Cardiopulmonary Rehabilitation, 23, 29-39. http://dx.doi.org/10.1097/00008483-200301000-00007
12. Bollen, K. A. (1990). Overall fit in covariance structure models: Two types of sample size effects. Psychological Bulletin, 107, 256-259. http://dx.doi.org/10.1037%2F%2F0033-2909.107.2.256
13. Browne, M. V. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and Statistical Psychology, 37, 62-83. http://dx.doi.org/10.1111%2Fj.2044-8317.1984.tb00789.x
14. Browne, M. V., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods and Research, 21, 230-258. http://dx.doi.org/10.1177%2F0049124192021002005
15. Carmines, E. G., & McIver, J. P. (1981). Analyzing models with unobserved variables: Analysis of covariance structures. In G. W. Bohmstedt & E. F. Borgatta (Eds.), Social Measurement (pp. 65-115). Thousand Oaks, CA: Sage Publications.
16. Chatzisarantis, N., & Hagger, M. (2008). Influences of personality traits and continuation intentions on physical activity participation within the theory of planned behavior. Psychology & Health, 23, 347-367. http://dx.doi.org/10.1080%2F14768320601185866
17. Cohen, J. (1988). Statistical power analysis for the behavioral science. Hillsdale, NJ: Lawrence Erlbaum Associates.
18. Conner, M., & Norman, P. (1995). The role of social cognition in health behaviors. In M. Conner & P. Norman (Eds.), Predicting Health Behavior: Research and practice with social cognition models (pp. 1-22). Buckingham, England: Open University Press.
19. Conner, M., & Sparks, P. (1996). The theory of planned behavior and health behaviors. In M. Conner & P. Norman (Eds.), Predicting Health Behavior: Research and practice with social cognition models (pp. 121-162). Buckingham, England: Open University Press.
20. Curran, P. S., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16-29. http://dx.doi.org/10.1037%2F%2F1082-989X.1.1.16
21. Deci, E. L. (1975). Intrinsic motivation. New York, NY: Plenum Press.
22. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and selfdetermination in human behavior. New York, NY: Plenum Press.
23. 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, 227-268. http://dx.doi.org/10.1207%2FS15327965PLI1104_01
24. Eng, J. J., & Martin-Ginis, K. A. (2007). Using the theory of planned behavior to predict leisure time physical activity among people with chronic kidney disease. Rehabilitation Psychology, 52, 435-442. http://dx.doi.org/10.1037%2F0090-5550.52.4.435
25. 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, 272-299. http://dx.doi.org/10.1037%2F%2F1082-989X.4.3.272
26. Fan, X., Thompson, B., & Wang, L. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling, 6, 56-83. http://dx.doi.org/10.1080%2F10705519909540119
27. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Nueva York, NY: Addison-Wesley.
28. Francis, J. J., Eccles, M. P., Johnston, M., Walker, A., Grimshaw, J., Foy, R.,Bonetti, D. (2004). Constructing questionnaires based on the theory of planned behavior: A manual for health services researchers. Newcastle, England: Centre for Health Services Research.
29. Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11, 87-98. http://dx.doi.org/10.4278%2F0890-1171-11.2.87
30. Hagger, M. S., Chatzisarantis, N. L. D., & Biddle, S. J. H. (2002). A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: Predictive validity and the contribution to additional variables. Journal of Sport and Exercise Psychology, 24, 3-32.
31. Hakstian, A. R., & Muller, V. J. (1973). Some notes on the number of factors problem. Multivariate Behavioral Research, 461-475. http://dx.doi.org/10.1207%2Fs15327906mbr0804_4
32. Heise, D. R., & Bohrnstedt, G. W. (1970). Validity, invalidity and reliability. In E. F. Borgatta & G. W. Bohrnstedt (Eds.), Sociological Methodology (pp. 104-129). San Francisco, CA: Jossey-Bass. http://dx.doi.org/10.2307%2F270785
33. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. http://dx.doi.org/10.1080%2F10705519909540118
34. Hu, L., Bentler, P. M., & Kano, Y. (1992). Can test statistics in covariance structure analysis be trusted? Psychological Bulletin, 112, 351-362. http://dx.doi.org/10.1037%2F%2F0033-2909.112.2.351
35. Humphreys, L. G. (1964). Number of cases and number of factors: An example where N is very large. Educational and Psychological Measurement, 24, 457-466. http://dx.doi.org/10.1177%2F001316446402400302
36. Jackson, D. A. (1993). Stopping rules in principal components analysis: A comparison of heuristical and statistical approaches. Ecology, 74, 2204-2214. http://dx.doi.org/10.2307%2F1939574
37. Jackson, C., Smith, A., & Conner, M. (2009). Applying an extended version of the theory of planned behavior to physical activity. Journal of Sports Sciences, 21, 119-133. http://dx.doi.org/10.1080%2F0264041031000070976
38. Jerusalem, M., & Schwarzer, R. (1992). Self-efficacy as a resource factor in stress appraisal processes. In R. Schawarzer (Ed.), Self-efficay: Thought control of action. Washington, DC: Hemisphere.
39. Jiménez, M., Martínez, P., Miró, E., & Sánchez, A. I. (2008). Bienestar psicológico y hábitos saludables: ¿están asociados con la práctica de ejercicio físico? [Psychological well-being and healthy habits: Are they associated with physical exercise practice?]. International Journal of Clinical and Health Psychology, 8, 85-102.
40. Jöreskog, K., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Hillsdale, NJ: Erlbaum.
41. Kline, R. B. (1998). Principles and practice of structural equation modeling. New York, NY: Guilford Press.
42. Latimer, A. E., & Martin, A. (2005). The theory of planned behavior in prediction of leisure time physical activity among individuals with spinal cord injury. Rehabilitation Psychology, 50, 389-396. http://dx.doi.org/10.1037%2F0090-5550.50.4.389
43. Lawlor, D. A., & Hopker, S. W. (2001). The effectiveness of exercise as an intervention in the management of depression: Systematic review and meta-regression analysis of randomized controlled trials. British Medical Journal, 322, 763-767. http://dx.doi.org/10.1136%2Fbmj.322.7289.763
44. Linn, R. L. (1968). A Monte Carlo approach to the number of factors problem. Psychometrika, 33, 37-71. http://dx.doi.org/10.1007%2FBF02289675
45. Maddux, J. E. (2005). Self-efficacy. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of Positive Psychology (pp. 277-287). Oxford: Oxford University Press.
46. Marcus, B. H., Dubbert, P. M., Forsyth, L. H., McKenzie, T. L., Stone, E. J., Dunn, A. L., & Blair, S. N. (2000). Physical activity behavior change: Issues in adoption and maintenance. Health Psychology, 19, 32-41. http://dx.doi.org/10.1037%2F%2F0278-6133.19.Suppl1.32
47. Markland, D., & Tobin, V. (2004). A modification to the behavioral regulation exercise questionnaire to include and assessment of amotivation. Journal of Sport & Exercise Psychology, 26, 191-196.
48. Martínez Arias, M. R. (1996). Psicometría: Teoría de los tests psicológicos y educativos [Psicometry: Theory of psychological and educational tests]. Madrid, Spain: Síntesis.
49. McAuley, E., Mihalko, S. L., & Bane, S. M. (1997). Exercise and self-esteem in middle-aged adults: Multidimensional relationships and physical fitness and self-efficacy influences. Journal of Behavioral Medicine, 20, 67-83. http://dx.doi.org/10.1023/A:1025591214100
50. Moreno, J. A., Cervelló, E. M., & Martínez, A. (2007). Measuring self-determination motivation in a physical fitness setting: Validation of the Behavioral Regulation in Exercise Questionnaire-2 (BREQ-2) in a Spanish sample. The Journal of Sport Medicine and Physical Fitness, 47, 366-378.
51. Mote, T. A. (1970). An artifact of the rotation of too few factors: Study orientation vs. trait anxiety. Revista Internacional de Psicología, 37, 61-91.
52. Netz, Y., Wu, M. J., Becker, B. J., & Tenebaum, G. (2005). Physical activity and psychological well-being in advanced age: A metaanalysis of intervention studies. Psychology and Aging, 20, 272-284. http://dx.doi.org/10.1037%2F0882-7974.20.2.272
53. Neupert, S. D., Lachman, M. E., & Whitbourne, S. B. (2009). Exercise self-efficacy and control beliefs: Effects on exercise behavior after an exercise intervention for older adults. Journal of Aging and Physical Activity, 17, 1-16.
54. Nevitt, J., & Hancock, G. R. (2000). Improving the root mean square error of approximation for nonnormal conditions in structural equation modeling. The Journal of Experimental Education, 68, 251-268. http://dx.doi.org/10.1080%2F00220970009600095
55. Rhodes, R., Blanchard, C., Matheson, D., & Coble, J. (2006). Disentangling motivation, intention and planning in the physical activity domain. Psychology of Sport and Exercise, 7, 15-27. http://dx.doi.org/10.1016%2Fj.psychsport.2005.08.011
56. Ruiz, M. A., & San Martín, R. (1992). Una simulación sobre el comportamiento de la regla K1 en la estimación del número de factores [A simulation about the behaviour of K1 rule in the estimation of factor numbers]. Psicothema, 4, 543-550.
57. Shumacker, R. E., & Lomax, R. G. (1996). A beginner's guide to structural equation modeling. Mahwah, NJ: Erlbaum.
58. Sjöström, M., Oja, P., Hagströmer, M., Smith, B. J., & Bauman, A. (2006). Health-enhancing physical activity across European Union countries: The Eurobarometer study. Journal of Public Health, 14, 291-300. http://dx.doi.org/10.1007%2Fs10389-006-0031-y
59. Sniehotta, F. F., Scholz, U., & Schwarzer, R. (2005). Brindging the intention-behavior gap: Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise. Psychology and Health, 20, 143-160. http://dx.doi.org/10.1080/08870440512331317670
60. Sugawara, H. M., & MacCallum, R. C. (1993). Effect of estimation method on incremental fit indexes for covariance structure models. Applied Psychological Measurement, 17, 365-377. http://dx.doi.org/10.1177%2F014662169301700405
61. Taras, H. (2005). Physical activity and student performance at school. The Journal of School Health, 75, 214-218. http://dx.doi.org/10.1111%2Fj.1746-1561.2005.00026.x
62. Terry, D. J., & O'Leary, J. E. (1995). The theory of planned behavior: The effects of perceived behavioral control and selfefficacy. British Journal of Social Psychology, 34, 199-220. http://dx.doi.org/10.1111%2Fj.2044-8309.1995.tb01058.x
63. WHO (2002). The world heatlh report 2002-Reducing risks, promoting healthy life. Geneva, Switzerland: Author.
64. WHO (2004). World strategy about daily diet, physical activity and heatlh. Geneva, Switzerland: Author.
65. WHO (2006). Physical activity and health in Europe: evidence for action. Copenhagen, Denmark:WHO Regional Office for Europe.
66. Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. (Doctoral dissertation). University of California, Los Angeles, CA. Retrieved from http://statmodel.com/download/Yudissertation.pdf.
67. Yuan, K.-H., & Bentler, P. M. (1998). Normal theory based test statistics in structural equation modelling. British Journal of Mathematical and Statistical Psychology, 51, 289-309. http://dx.doi.org/10.1111%2Fj.2044-8317.1998.tb00682.x
68. Zwick, W. R., & Velicer W. F. (1986). A comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442. http://dx.doi.org/10.1037%2F%2F0033-2909.99.3.432